AI, Cybersecurity & Programming

Intro to SQL

Course code: CEWP 215 - Duration: 30 hours

Start date: January 12, 2026

Type: Course

• Online

ITDEV:Programming;TDATA:Technology, Data & Digital Skills *VID* *KEYB* When it comes to slick, highly functional sites, web designers get most of the credit. But they couldn't do what they do without the programmers, the unsung heroes of the web. If you're someone who likes to get inside the machine and see how it really works, this course is for you. You'll learn the fundamentals of Structured Query Language, relational database management, database storage structures and information retrieval. This course serves as the foundation for further studies in programming. And if you're reading this on the web, someone, maybe someone like you, took a course just like this and now has a pretty cool job. *CNT* This course is a great way to help you: • Learn the fundamentals of SQL; • Familiarize yourself with basic database management and access; • Understand the basics of relational database management theory; • Gain an understanding of database storage structures; • Gain skills retrieving information using SQL Select. *APP* In this program, you'll gain real-world knowledge through active hands-on learning led by seasoned pros who'll show you the ropes. More excitingly, you'll be using the very latest software. You can't get skills like this on YouTube. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom). *WHO* • Anyone who wants to learn the fundamentals of web programming. • Anyone looking to pursue studies or employment in the field of big data Students who want to work in advertising, animation, graphic design, website creation and management. • Students looking onward to an academic path in web programming. • Employees in marketing, communications or sales who want to refresh their skills or open new horizons. • Small business owners or association members who manage their own communications.

Working with Generative AI

Course code: CEAI 1005 - Duration: 30 hours

Start date: January 12, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* Generative AI is redefining what efficiency means in the workplace. It speeds up routine tasks, frees up time, and makes learning faster. But turning that pace into consistently high-quality work takes skill, support, and a stronger relationship with AI. Our Working with Generative AI course helps you move past quick wins to actually make AI a reliable part of your daily workflow. In it, you’ll learn generative AI tools, discover when each one shines, and develop the instincts to use them effortlessly for faster and higher-quality work. Generative AI is changing how career success is achieved. When you learn how to use it confidently, creatively, and responsibly, you’ll find new ways to keep your career growing and secure. *CNT* • Apply a variety of GenAI tools to get more done, free up time and produce higher-quality work. • Put advanced prompting skills and other communication techniques into practice to get the most out of your GenAI interactions. • Identify new opportunities to solve problems creatively with GenAI. • Understand how to use GenAI responsibly by recognizing risks, limits and potentials biases. • Build confidence using GenAI by learning how it works and the history behind its emergence. *APP* Through expert guidance and interactive, collaborative sessions, you'll practice using Generative AI tools in real work scenarios. This hands-on approach encourages experimentation and reflection so you can apply AI skills responsibly and thoughtfully. *WHO* This course is designed for professionals who: • Want to use AI to its fullest to work faster, produce higher-quality deliverables, and make smarter decisions with confidence. • Are eager to explore new tools to advance their AI knowledge. • Are determined to adapt and keep their skills current as AI transforms the workplace. • Are seeking an AI community to connect with for continuous learning and growth. • Aspire to lead GenAI initiatives responsibly within their organization.

AI Foundations

Course code: CEAI 1001 - Duration: 30 hours

Start date: January 13, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* Artificial Intelligence (AI) is expected to continue to permeate various industries in years to come. In fact, according to a 2020 PWC study, 86 per cent of companies surveyed said that AI will become a “mainstream technology” at their organization by 2021. From the narrow AI applications embedded in your phone to Artificial General Intelligence (AGI), you will learn to distinguish the subtleties of AI systems. Additionally, you will be able to characterize the types of existing models behind the applications, and analyze the human, data, and technological resources necessary to develop such systems. Last, but certainly not least, this course teaches you the limitations and ethical issues, including biases, that can exist in AI applications and how to detect them. Throughout your studies, you will have an opportunity to see AI in action through use cases that showcase the adoption of AI in several industries. Your challenge will be to explore how you can use AI to help solve problems in your everyday life and in your organization through case studies and other projects. This will help you better understand AI and evaluate the impacts of AI on your daily life. In this course, you won't just learn the basics of AI but actively participate in learning all the different facets that make up AI. This is an online, synchronous course. *CNT* This course is a great way to help you: • Examine AI use cases in different contexts • Identify AI readiness • Examine the possibilities and limitations of AI • Determine the requirements and criteria for a successful AI project • Describe the pitfalls of AI *APP* This fully online course employs a project-based approach that focuses on the acquisition of practical real-world skills in AI. You will learn directly from industry professionals and receive individualized feedback. You will have the opportunity to go beyond AI theory by actively participating in assignments aimed at using AI for problem-solving. *WHO* • Leaders with financial, operational, or technological responsibilities who are interested in adopting AI • Managers who want to better support their technical AI employees or who may be involved in AI projects • Employees in different industries who want to learn how AI solutions can help solve problems or want to contribute to their organization’s AI initiatives more meaningfully • Students who want to prepare themselves for an AI workforce or explore AI as a potential career path • Anyone who wants to learn the fundamentals of AI

Big Data Visualization and Storytelling

Course code: CEBD 1251 - Duration: 30 hours

Start date: January 13, 2026

Type: Course

• Online

DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Awesome. You learned how to collect and store Big Data. Now comes the fun part: mining that data for gold and then spinning that gold into compelling business stories that captivate and convince. In this course, you'll use sophisticated data-visualization tools to understand data and share information with others. You'll also learn how to manage a Big Data science project from beginning to end, and that's exactly what they'll want you to be doing in your next job. Props to you! Knowledge of Excel and/or SQL is highly recommended. If you do not have knowledge in these areas, we strongly recommend that you take Intro to Data Analysis with Excel (CEBD 1300) and Intro to SQL (CEWP 215). Note that you will be required to do 5-10 hours of work per week outside of class time. Those with little to no prior *CNT* This course is a great way to help you: • Learn how to transform data into insights; • Translate business needs into data analysis and visualize it with best-in-class graphics; • Assemble graphics, maps and numbers into stunning stories; • Learn how to manage a Big Data project. *APP* In this course, you'll gain real-world knowledge, experience and insights through lectures from experienced pros who'll show you the ropes. More excitingly, you'll learn through hands-on projects using the very latest software like data transformation tools, NoSQL and Hadoop, Data Visualization and Data Storytelling tools. You can't get skills like this on YouTube. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom). *WHO* • Students who completed CEBD 1250 and want to continue their studies. • Anyone who wants to learn the fundamentals of Big Data. • Students who want to work in Big Data / Data Science for a large- or medium-sized company. • Students who want to create their own startup in Data Science / Big Data. • Employees in the business-intelligence field who want to upgrade their skills or broaden their horizons. • Employees or students who want to become Data Scientists. Your Instructor Mingmei Pang, Catherine, M.Sc Senior Business Intelligence Lead at Electronic Arts (EA) Big Data Instructor at Concordia Continuing Education www.linkedin.com/in/catherinempang mingmei.pang@concordia.ca cce@concordia.ca

Comprendre les données de l'IA

Course code: CEAI 1003F - Duration: 30 hours

Start date: January 13, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* En 2006, le mathématicien britannique Clive Humby déclarait : « Les données sont le nouveau pétrole ». Et les données sont le carburant qui alimente l'IA. Cependant, il ne suffit pas d'avoir des données, il faut des données de qualité. Mais comment identifier des données de qualité dans le monde de l'IA ? Ce cours apporte la réponse. La première partie du cours vous aidera à identifier les bonnes données, à repérer les biais potentiels et à interpréter les graphiques et autres visualisations à partir des données. La deuxième partie du cours se concentre sur les aspects pratiques des données pour les projets d'IA. Cette section vous aidera à évaluer les besoins en données pour les projets d'IA, à différencier les diverses méthodes de stockage et à identifier les sources de données. À l'issue de ce cours, vous aurez compris l'aspect le plus important de l'IA : les données. Pour vous aider à développer des compétences en matière de données pour l'IA, vous ferez face à des études de cas et à d'autres projets qui ressemblent à des situations liées aux données auxquelles les professionnels de l'IA sont confrontés quotidiennement. Au cours de ces exercices, vous examinerez les différentes étapes du cycle de vie des données pour vous aider à évaluer la qualité des données et les exigences de divers projets d'IA. Les missions vous positionneront en tant qu'expert du domaine et client d'un projet d'IA et vous apprendront à travailler aux côtés d'un scientifique des données. Êtes-vous prêt à relever le défi ? Il s'agit d'un cours en ligne, synchrone. Nous recommandons de suivre les cours Fondements de l'IA (CEAI 1001F) et L’IA responsable (CEAI 1002F) avant de suivre ce cours. *CNT* Ce cours est un excellent moyen de vous aider à : • Expliquer l'importance de « bonnes » données dans les projets d'IA • Décrire les différents types de données utilisés dans les projets d'IA • Identifier les différentes techniques utilisées pour traiter et stocker les données dans l'IA • Évaluer ce qui est nécessaire pour mener à bien un projet d'IA *APP* Ce cours entièrement en ligne utilise une approche par projets qui se concentre sur l'acquisition de compétences pratiques dans le monde réel en matière d'IA. Vous apprendrez directement auprès de professionnels de l'industrie et recevrez un retour d'information individualisé. Vous aurez l'occasion d'aller au-delà de la théorie de l'IA en participant activement à des missions visant à utiliser l'IA pour résoudre des problèmes. *WHO* • Les passionnés de technologie qui souhaitent ajouter l'IA à leur palette de compétences • Les dirigeants ayant des responsabilités financières, opérationnelles ou technologiques qui sont intéressés par l'adoption de l'IA • Les gestionnaires qui souhaitent mieux soutenir leurs employés techniques en matière d'IA ou qui peuvent être impliqués dans des projets d'IA • Les employés de différents secteurs qui veulent apprendre comment les solutions d'IA peuvent aider à résoudre des problèmes ou qui veulent contribuer de manière plus significative aux initiatives d'IA de leur organisation. • Les étudiants qui souhaitent se préparer à travailler dans le domaine de l'IA ou explorer l'IA en tant que carrière potentielle • Toute personne qui souhaite apprendre les principes fondamentaux de l'IA ou qui est responsable de la sélection et de l'acquisition de systèmes d'IA

Cybersecurity Solutions

Course code: CECR 2003 - Duration: 30 hours

Start date: January 13, 2026

Type: Course

• Online

CYBER:Cyber Resilience & Security;TDATA:Technology, Data & Digital Skills *VID* *KEYB* This is the third of three courses in our cutting-edge, accelerated Certificate in Cybersecurity Proficiency program. If you’re in it, that means you’ve successfully completed the first two courses and you’ve got a solid knowledge of the game. Congrats. Now it’s time to complete that knowledge by learning some key strategies for mitigating the threats and vulnerabilities your organization might face in the future. You’ll also gain the skills and knowledge needed to develop and implement effective cybersecurity solutions to help keep your organization safe in the present. After all, they’re counting on you! *CNT* This course is a great way to help you: • Outline how to respond quickly and effectively to potential cybersecurity incidents; • Match strategies appropriate to mitigating the various cyber threats; • Select effective, feasible and viable cybersecurity solutions; • Prepare to keep up to date on the latest cybersecurity threats and vulnerabilities. *APP* In this online course, you’ll benefit from demonstrations, case-studies, and problem-based learning led by industry experts. You’ll also learn through peer conversations and through practical tasks that are readily applicable to small- and medium-sized businesses. *WHO* • Non-technical professionals with responsibilities over significant confidential, sensitive data who want to minimize their organization’s information-management and security risks. • Employees in a non-technical role who work with cybersecurity professionals and need to be proficient in their jargon. • Executives, senior managers, and technical staff who want to bolster cybersecurity within their organizations. • Employees who want to broaden their skills to access new career opportunities. • Students or other individuals who want to increase their understanding of cybersecurity for personal or professional reasons.

Cybersecurity Threats and Vulnerabilities

Course code: CECR 2001 - Duration: 30 hours

Start date: January 13, 2026

Type: Course

• Online

CYBER:Cyber Resilience & Security;TDATA:Technology, Data & Digital Skills *VID* *KEYB* You and your organization are under threat at this very moment. You might not know it but it’s true. Don’t panic. In this course about cybersecurity threats and vulnerabilities, you’ll learn exactly what to do! Led by a recognized cybersecurity pro, this course will teach you how to identify cybersecurity threats and vulnerabilities for different types of organizations and develop comprehensive cybersecurity plans for each one. Ready to take your cybersecurity skills to the next level? You know what to do. *CNT* This course is a great way to help you: • Recognize the major types of cybersecurity threats and vulnerabilities; • Identify the different types of organizations that are most vulnerable to those threats and vulnerabilities; • Draft cybersecurity plans for diverse organizations; • Present cybersecurity implementation plans effectively; • Describe how to monitor an organization’s cybersecurity posture on an ongoing basis. *APP* In this online course, you’ll benefit from demonstrations, case-studies, and problem-based learning led by industry experts. You’ll also learn through peer conversations and through practical tasks that are readily applicable to small- and medium-sized businesses. *WHO* • Non-technical professionals with responsibilities over significant confidential, sensitive data who want to minimize their organization’s information-management and security risks. • Employees in a non-technical role who work with cybersecurity professionals and need to be proficient in their jargon. • Executives, senior managers, and technical staff who want to bolster cybersecurity within their organizations. • Employees who want to broaden their skills to access new career opportunities. • Students or other individuals who want to increase their understanding of cybersecurity for personal or professional reasons.

Fondements de l'IA

Course code: CEAI 1001F - Duration: 30 hours

Start date: January 13, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* L'intelligence artificielle (IA) continuera à se diffuser dans divers secteurs au cours des années à venir. En fait, selon une étude réalisée par PwC en 2020, 86 % des entreprises interrogées ont déclaré que l'IA deviendrait une « technologie courante » au sein de leur organisation. Qu'il s'agisse d’applications mobiles ou de l'intelligence artificielle générale (IAG), vous apprendrez à distinguer les subtilités des systèmes d'IA. En outre, vous serez en mesure de caractériser les types de modèles existants derrière les applications et d'analyser les ressources humaines, les données et les technologies nécessaires pour développer de tels systèmes. Ce cours vous enseigne les limites et les problèmes éthiques, y compris les biais, qui peuvent exister dans les applications d'IA et comment les détecter. Tout au long de vos études, vous aurez l'occasion de voir l'IA en action grâce à des cas d'utilisation qui illustrent l'adoption de l'IA dans plusieurs industries. Votre défi sera d'explorer comment vous pouvez utiliser l'IA pour aider à résoudre des problèmes dans votre vie quotidienne et dans votre organisation à travers des études de cas et d'autres projets. Cela vous aidera à mieux comprendre l'IA et à évaluer son impact sur votre vie quotidienne. Dans ce cours, vous n'apprendrez pas seulement les bases de l'IA, mais vous participerez activement à l'apprentissage de toutes les différentes facettes qui composent l'IA. Il s'agit d'un cours en ligne, synchrone. *CNT* Ce cours est un excellent moyen de vous aider à : • Examiner les cas d'utilisation de l'IA dans différents contextes • Identifier l'état de préparation à l'IA • Examiner les possibilités et les limites de l'IA • Déterminer les exigences et les critères d'un projet d'IA réussi • Décrire les pièges de l'IA *APP* Ce cours entièrement en ligne utilise une approche par projets qui se concentre sur l'acquisition de compétences pratiques dans le monde réel en matière d'IA. Vous apprendrez directement auprès de professionnels de l'industrie et recevrez un retour d'information individualisé. Vous aurez l'occasion d'aller au-delà de la théorie de l'IA en participant activement à des missions visant à utiliser l'IA pour résoudre des problèmes. *WHO* • Les passionnés de technologie qui souhaitent ajouter l'IA à leur ensemble de compétences. • Les dirigeants exerçant des responsabilités financières, opérationnelles ou technologiques et qui souhaitent adopter l'IA. • Les gestionnaires qui souhaitent mieux soutenir leurs employés techniques en matière d'IA ou qui peuvent être impliqués dans des projets d'IA. • Les employés de différents secteurs qui veulent apprendre comment les solutions d'IA peuvent aider à résoudre des problèmes ou qui veulent contribuer de manière plus significative aux initiatives d'IA de leur organisation. • Les étudiants qui souhaitent se préparer à travailler dans le domaine de l'IA ou explorer l'IA en tant que carrière potentielle. • Toute personne souhaitant apprendre les principes fondamentaux de l'IA.

Menaces et vulnérabilités en cybersécurité

Course code: CECR 2001F - Duration: 30 hours

Start date: January 13, 2026

Type: Course

• Online

CYBER:Cyber Resilience & Security;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Vous ne le savez peut-être pas, mais vous ou votre entreprise êtes menacés en ce moment même. Ne paniquez pas! Dans ce cours sur les menaces et les vulnérabilités en matière de cybersécurité, vous apprendrez exactement ce qu'il faut faire. Animé par un professionnel reconnu de la cybersécurité, ce cours vous apprendra à identifier les menaces et les vulnérabilités en matière de cybersécurité pour différents types d'organisations et à élaborer des plans de cybersécurité complets pour chacune d'entre elles. *CNT* Ce cours est un excellent moyen de vous aider à : • Reconnaître les principaux types de menaces et de vulnérabilités en matière de cybersécurité • Identifier les différents types d'organisations qui sont les plus vulnérables à ces menaces et vulnérabilités • Rédiger des plans de cybersécurité pour diverses organisations • Présenter efficacement les plans de mise en œuvre de la cybersécurité  • Décrire comment surveiller en permanence la position d'une organisation en matière de cybersécurité *APP* Dans ce cours en ligne, vous bénéficierez de démonstrations, d'études de cas et d'un apprentissage basé sur des problèmes, dirigés par des experts du secteur. Vous apprendrez également par le biais de conversations entre pairs et de tâches pratiques facilement applicables aux petites et moyennes entreprises. *WHO* • Les professionnels non techniques exerçant des responsabilités sur des données confidentielles et sensibles importantes et qui souhaitent minimiser les risques liés à la gestion et à la sécurité de l'information de leur organisation. • Les employés occupant une fonction non technique qui travaillent avec des professionnels de la cybersécurité et qui doivent maîtriser leur jargon. • Les dirigeants, les cadres supérieurs et le personnel technique qui souhaitent renforcer la cybersécurité au sein de leur organisation. • Les employés qui souhaitent élargir leurs compétences afin d'accéder à de nouvelles opportunités de carrière • Les étudiants et autres personnes qui souhaitent mieux comprendre la cybersécurité pour des raisons personnelles ou professionnelles.

Solutions en cybersécurité

Course code: CECR 2003F - Duration: 30 hours

Start date: January 13, 2026

Type: Course

• Online

CYBER:Cyber Resilience & Security;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Voici le troisième des trois cours de notre programme de pointe et accéléré de certificat de compétence en cybersécurité. Si vous en faites partie, cela signifie que vous avez suivi avec succès les deux premiers cours et que vous avez acquis une solide connaissance du jeu. Félicitations. Il est maintenant temps de compléter ces connaissances en apprenant quelques stratégies clés pour atténuer les menaces et les vulnérabilités auxquelles votre organisation pourrait être confrontée à l'avenir. Vous acquerrez également les compétences et les connaissances nécessaires pour élaborer et mettre en œuvre des solutions de cybersécurité efficaces afin d'assurer la sécurité de votre organisation dans le présent. *CNT* Ce cours est un excellent moyen de vous aider à : • Indiquer comment réagir rapidement et efficacement à d'éventuels incidents de cybersécurité • Faire correspondre les stratégies appropriées pour atténuer les différentes menaces cybernétiques • Choisir des solutions de cybersécurité efficaces, réalisables et viables  • Vous préparer à rester au courant des dernières menaces et vulnérabilités en matière de cybersécurité   *APP* Dans ce cours en ligne, vous bénéficierez de démonstrations, d'études de cas et d'un apprentissage basé sur des problèmes, dirigés par des experts du secteur. Vous apprendrez également par le biais de conversations entre pairs et de tâches pratiques facilement applicables aux petites et moyennes entreprises. *WHO* • Les professionnels non techniques exerçant des responsabilités sur des données confidentielles et sensibles importantes et qui souhaitent minimiser les risques liés à la gestion et à la sécurité de l'information de leur organisation. • Les employés occupant une fonction non technique qui travaillent avec des professionnels de la cybersécurité et qui doivent maîtriser leur jargon. • Les dirigeants, les cadres supérieurs et le personnel technique qui souhaitent renforcer la cybersécurité au sein de leur organisation. • Les employés qui souhaitent élargir leurs compétences afin d'accéder à de nouvelles opportunités de carrière. • Les étudiants et autres personnes qui souhaitent mieux comprendre la cybersécurité pour des raisons personnelles ou professionnelles.

Understanding AI Data

Course code: CEAI 1003 - Duration: 30 hours

Start date: January 13, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* Artificial Intelligence (AI) doesn’t exist without data. In 2006, British mathematician Clive Humby said, “Data is the new oil.” And data is the fuel that powers AI. However, having data is not enough, you need good data. But how can you identify quality data in the AI world? This course provides the answer. The first part of the course will help you identify good data, spot potential biases, and interpret graphs and other visualizations from data. The second part of the course will focus on the practical aspects of data for AI projects. This section will help you assess data requirements for AI projects, differentiate between various storage methods, and identify data sources. Upon completion of the course, you will grasp the single most important aspect of AI—data. To help you develop data skills for AI, you will be exposed to case studies and other projects that resemble data-related situations AI professionals face daily. During these exercises, you will examine the different steps of the data lifecycle to help you assess data quality and the requirements for various AI projects. The assignments will position you as the domain expert and client on an AI project and teach you how to work alongside a data scientist. Are you up for the challenge? This is an online, synchronous course. We recommend taking the AI Foundations (CEAI 1001) and Responsible AI (CEAI 1002) before taking this course. *CNT* This course is a great way to help you: • Explain the importance of "good" data in AI projects • Describe the different types of data used in AI projects • Identify the different techniques used to handle and store data in AI • Assess what is required to carry out an AI project *APP* This fully online course employs a project-based approach that focuses on the acquisition of practical real-world skills in AI. You will learn directly from industry professionals and receive individualized feedback. You will have the opportunity to go beyond AI theory by actively participating in assignments aimed at using AI for problem-solving. *WHO* • Tech enthusiasts who want to add AI to their skill set • Leaders with financial, operational, or technological responsibilities who are interested in adopting AI • Managers who want to better support their technical AI employees or who may be involved in AI projects • Employees in different industries who want to learn how AI solutions can help solve problems or want to contribute to their organization’s AI initiatives more meaningfully • Students who want to prepare themselves for an AI workforce or explore AI as a potential career path • Anyone who wants to learn the fundamentals of AI

Intro to Python

Course code: CEBD 1100 - Duration: 30 hours

Start date: January 14, 2026

Type: Course

• Online

ITDEV:Programming;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* When companies, researchers, engineers, and analysts develop solutions, create products, or make policy recommendations, they rely on Data Analysis to make informed decisions. In this course, you will learn about the basics of programming in Python and applying these skills to analyzing data. You'll start with the basics of designing an algorithm, basic Python programming, an introduction to the Scipy scientific computing ecosystem, and learn the fundamentals of machine learning. Note that you will be required to do 5-10 hours of work per week outside of class time. Those with little to no prior knowledge will require more time to gain familiarity with the concepts. *CNT* This course is a great way to help you: • Gain a foundation in numerical programming and algorithm development; • Learn Python as a language for writing scripts, packages, and performing data analysis; • Develop and refine skills in git for version control and bash for operating within Linux environments; • Learn basic principles and pitfalls of machine learning applied to real-world problems. *APP* This course employs project-based learning that's focused on the acquisition of practical, real-world skills and not just theory. *WHO* Individuals who want to improve the performance of their organization by harnessing Big Data. • Professionals who want to leverage data for better decision-making. • Entrepreneurs with projects that could benefit from data analytics. • Students in fields like geography, biology, psychology, humanities or any other field with big data. • IT professionals who want to transition to Big Data from more traditional sectors.

L'IA responsable

Course code: CEAI 1002F - Duration: 30 hours

Start date: January 14, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* Alors que les systèmes d'IA continuent à se répandre dans la vie quotidienne, il est essentiel de comprendre les effets négatifs que l'IA peut avoir sur la société, sous la forme de décisions biaisées, d'intrusions dans la vie privée et bien plus encore. Il est donc impératif que vous compreniez comment déployer des systèmes d'IA qui soient éthiques, sûrs et inclusifs. Ce cours vous apprendra à identifier les questions éthiques dans les systèmes d'IA, à créer et à exécuter des feuilles de route, et à vous engager avec des partenaires multidisciplinaires pertinents pour aborder ces questions. Notre approche orientée vers l'action est conçue pour vous offrir des conseils pratiques et la confiance nécessaire pour mettre en œuvre des changements éthiques et responsables dans vos systèmes d'IA. Pour vous aider à développer vos compétences en matière d'IA responsable, ce cours fait référence à des cas discutés publiquement impliquant des comportements contraires à l'éthique. Il aborde également les systèmes d'IA avec lesquels vous interagissez probablement tous les jours et qui posent des problèmes éthiques. En plus d'apprendre les bases de l'IA responsable, ce cours vous aidera à devenir un citoyen plus informé dans un monde piloté par l'IA en travaillant sur des livrables réels. Il s'agit d'un cours en ligne, synchrone. *CNT* Ce cours est un excellent moyen de vous aider à : • Identifier les problèmes éthiques potentiels qui pourraient survenir lors de la conception, du développement et du déploiement des systèmes d'IA • Créer des feuilles de route pour minimiser les impacts sociétaux négatifs et maximiser les résultats des systèmes d'IA • Rassembler les partenaires internes et externes les plus pertinents pour aborder les questions éthiques potentielles • Engager une équipe d'experts pluridisciplinaires pour recueillir des informations sur les questions éthiques • Exécuter la feuille de route relative aux questions éthiques tout en respectant les exigences commerciales et fonctionnelles du projet *APP* Ce cours entièrement en ligne utilise une approche par projets qui se concentre sur l'acquisition de compétences pratiques dans le monde réel en matière d'IA. Vous apprendrez directement auprès de professionnels de l'industrie et recevrez un retour d'information individualisé. Vous aurez l'occasion d'aller au-delà de la théorie de l'IA en participant activement à des missions visant à utiliser l'IA pour résoudre des problèmes. *WHO* • Les passionnés de technologie qui souhaitent ajouter l'IA à leur palette de compétences • Les investisseurs en capital-risque qui souhaitent comprendre les questions éthiques liées à l'IA avant d'investir dans des technologies d'IA • Les dirigeants ayant des responsabilités financières, opérationnelles ou technologiques qui sont intéressés par l'adoption de l'IA • Les gestionnaires qui souhaitent mieux soutenir leurs employés techniques en matière d'IA ou qui peuvent être impliqués dans des projets d'IA • Les employés de différents secteurs qui veulent apprendre comment les solutions d'IA peuvent aider à résoudre des problèmes ou qui veulent contribuer de manière plus significative aux initiatives d'IA de leur organisation. • Les étudiants qui souhaitent se préparer à travailler dans le domaine de l'IA ou explorer l'IA en tant que carrière potentielle • Toute personne travaillant pour le gouvernement et participant à des décisions politiques pouvant être affectées par ou liées aux données et à l'IA • Toute personne qui souhaite apprendre les principes fondamentaux de l'IA ou qui est responsable de la sélection et de l'acquisition de systèmes d'IA

Responsible AI

Course code: CEAI 1002 - Duration: 30 hours

Start date: January 14, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* As AI systems continue to become more prevalent in daily life, it’s crucial to also understand the negative effects AI can have on society in the form of unfair outcomes, privacy intrusions, and more. Therefore, it’s imperative that you understand how to deploy AI systems that are ethical, safe and inclusive. This course will teach you how to identify ethical issues in AI systems, create and execute roadmaps, and engage with relevant multidisciplinary stakeholders to address those issues. Our action-oriented approach is designed to offer you practical advice and the confidence to implement ethical and responsible changes to your AI systems. To help develop your skills in responsible AI, this course references publicly discussed cases involving unethical behaviour. It also touches on AI systems you likely interact with every day where ethical issues exist. In addition to learning the basics of responsible AI, this course will help you become a more informed citizen in an AI-driven world by working on real deliverables. This is an online, synchronous course. *CNT* This course is a great way to help you: • Identify potential ethical issues that might arise in the design, development, and deployment of AI systems • Create roadmaps to minimize negative societal impacts and maximize humane outcomes from AI systems • Assemble the most relevant internal and external stakeholders to address potential ethical issues • Engage a team of multidisciplinary domain experts to gather feedback on ethical issues • Execute ethical issues addressal roadmap while meeting business and functional requirements of the project *APP* This fully online course employs a project-based approach that focuses on the acquisition of practical real-world skills in AI. You will learn directly from industry professionals and receive individualized feedback. You will have the opportunity to go beyond AI theory by actively participating in assignments aimed at using AI for problem-solving. *WHO* • Tech enthusiasts who want to add AI to their skillset • Venture capitalists or investors looking to understand ethical issues in AI before investing in AI technologies • Leaders with financial, operational, or technological responsibilities who are interested in adopting AI • Managers who want to better support their technical AI employees or who may be involved in AI projects • Employees in different industries who want to learn how AI solutions can help solve problems or want to contribute to their organization’s AI initiatives more meaningfully • Students who want to prepare themselves for an AI workforce or explore AI as a potential career path • Anyone working for the government who participates in policy decisions that may be affected by or related to data and AI • Anyone who wants to learn the fundamentals of AI or is responsible for selecting and procuring AI systems

Intro to Data Analysis with Excel

Course code: CEBD 1300 - Duration: 30 hours

Start date: January 15, 2026

Type: Course

• Online

DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Success in business and science means making smart decisions. And those require the kind of information you can only get from sophisticated data analysis. It’s a growing field with huge opportunities. And it all starts right here. This course is where you’ll begin your journey in Big Data Business, learning everything you need to know to analyze, communicate and manage complex information using Microsoft Excel and its advanced analytics modules, visualization tools and external data sources. From there, you’ll move on to real-world business applications and more. But one step at a time. If you’re ready to begin, we’re ready for you! If you’re new to Big Data or only have the basics but want to take the Big Data Business Stream, we strongly recommend you start with this course. Seriously. IMPORTANT NOTE You will be required to do 5-10 hours of work per week outside of class time. If you have little or no prior knowledge, you might need extra time to gain familiarity with the concepts. But don’t worry. You’ve got this! *CNT* This course is a great way to help you: • Analyze, communicate and manage complex information using Microsoft Excel; • Use advanced analytics to extract information from diverse types of data sources; • Create data aggregations and dynamic visualizations for data analytics projects; • Work collaboratively in multidisciplinary teams and present advanced analytics projects clearly and efficiently; • Draw valuable insights from raw data for business purposes. *APP* This course employs student-centered, project-based learning that's focused on the acquisition of practical, real-world skills and not just theory. You'll get close, personalized instruction from an industry pro. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom). *WHO* • Anyone who wants to follow the Business stream in the Big Data program. • Individuals who want to improve the performance of their organization using data. • Professionals who want to leverage data for better decision-making. • Entrepreneurs with projects that could benefit from data analytics. • IT professionals who want to transition to data analytics from more traditional sectors. *ADD* There are a couple of easy yet crucial specifications needed to function in class: 1. Computer / laptop equipped with Windows 10 and Microsoft Excel (2019, English) 2. Processor - 1.6 Ghz, 2-core processor 3. Memory (RAM) - 4 GB (for Windows 64 bit) or 2 GB (Windows 32 bit) 4. Hard Disk Space - 4 GB available disk space 5. BYOD - Students need to request 1) Concordia email 2) free Excel license via Microsoft 6. As a benefit of being a Concordia student you can access the entire Microsoft Suite using the following link: https://www.concordia.ca/it/services/office-365-education.html

Programming for Data Analytics

Course code: CEBD 1160 - Duration: 30 hours

Start date: January 15, 2026

Type: Course

• Online

DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Reader, let me introduce you to Big Data. Big Data, meet Reader. Actually, there's a bit more to it than that. Big Data systems involve a wide range of technologies that can only be understood when you master the underlying technical concepts. And that's why you need this course. Here, you'll learn about the basic technologies required to develop Big Data analytics solutions and deploy them at scale. You'll spend some time with the concept of virtualization and you'll have an overview of programming techniques for big data analytics. Once you've finished this course, you can take a moment to congratulate yourself before you dive into even bigger data on the path to completing your certificate. Knowledge in Excel, SQL, Python and/or R and statistics and probability are crucial for you to be successful in this course. If you do not have knowledge in these areas, we strongly recommend that you take Intro to data Analysis with Excel (CEBD 1300), Intro to SQL (CEWP 215), Intro to R (CEBD 1200) and/or Intro to Python (CEBD 1100). Note that you will be required to do 5-10 hours of work per week outside of class time. Those with little to no prior knowledge will require more time to gain familiarity with the concepts. *CNT* This course is a great way to help you: • Gain a practical understanding of the challenges in Big Data analytics; • Understand the main elements of computer architectures; • Acquire basic proficiency with the Linux operating system to deploy and run Big Data systems; • Learn basic programming skills to develop Big Data analytics solutions. *APP* This course employs student-centered learning that's focused on the acquisition of practical, real-world skills and not just theory. You'll get close, personalized instruction from an industry pro. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom). *WHO* • Individuals who want to improve the performance of their organization by harnessing Big Data. • Professionals who want to leverage data for better decision-making. • Entrepreneurs with projects that could benefit from data analytics. • Students in fields like geography, biology, psychology, humanities or any other field with big data. • IT professionals who want to transition to Big Data from more traditional sectors.

Travailler avec l'IA

Course code: CEAI 1004F - Duration: 30 hours

Start date: January 15, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* À quoi ressemble le quotidien d'un professionnel de l'IA ? Dans ce cours, vous ferez l'expérience du flux de travail typique de l'IA en participant à un projet d'IA. De la définition du problème à l'entraînement et à l'évaluation du modèle, vous porterez la casquette d'un scientifique des données et développerez un projet d'apprentissage automatique à l'aide d'un logiciel convivial sans code. Ce processus vous aidera à comprendre les risques et les limites des modèles d'IA et vous apprendra à les atténuer. Enfin, vous découvrirez les applications d'IA les plus récentes et la manière dont elles sont utilisées dans l'industrie. Ce cours met l'accent sur l'apprentissage par l'expérience. Vous apprendrez à utiliser un logiciel sans code, à entraîner un modèle, à améliorer les données d'entraînement grâce à l'ingénierie des caractéristiques et à tester les performances de votre modèle. Il s'agit d'un cours en ligne, synchrone. Nous recommandons de suivre les cours Fondements de l'IA (CEAI 1001F) et L’IA responsable (CEAI 1002F) avant de suivre ce cours. *CNT* Ce cours est un excellent moyen de vous aider à : • Manipuler des données dans le cadre d'un projet d'intelligence artificielle • Communiquer à l'aide de données dans un format visuel facile à comprendre • Gérer un projet d'IA simple de bout en bout à l'aide d'un logiciel sans code • Engager une équipe d'experts pluridisciplinaires pour recueillir des informations sur les questions éthiques • Explorer les techniques émergentes en matière d'apprentissage automatique et d'IA *APP* Ce cours entièrement en ligne utilise une approche par projets qui se concentre sur l'acquisition de compétences pratiques dans le monde réel en matière d'IA. Vous apprendrez directement auprès de professionnels de l'industrie et recevrez un retour d'information individualisé. Vous aurez l'occasion d'aller au-delà de la théorie de l'IA en participant activement à des missions visant à utiliser l'IA pour résoudre des problèmes. *WHO* • Les passionnés de technologie qui souhaitent ajouter l'IA à leur palette de compétences • Les gestionnaires qui souhaitent mieux soutenir leurs employés techniques en IA ou qui peuvent être impliqués dans des projets d'IA • Les employés de différents secteurs qui veulent apprendre comment les solutions d'IA peuvent aider à résoudre des problèmes ou qui veulent contribuer de manière plus significative aux projets d'IA de leur organisation. • Les étudiants qui souhaitent se préparer à travailler dans le domaine de l'IA ou explorer l'IA en tant que carrière potentielle • Toute personne souhaitant commencer à expérimenter l'IA

Working with AI

Course code: CEAI 1004 - Duration: 30 hours

Start date: January 15, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* What does the day-to-day of an AI professional look like? In this course, you will experience the typical AI workflow by participating in an AI project. From the problem definition stage to model training and evaluation, you will wear the hat of a data scientist and develop an end-to-end machine learning project using a user-friendly no-code software. This process will help you understand the risks and limitations of AI models and teach you how to mitigate them. Finally, you will learn about state-of-the-art AI applications and how they are used in the industry. This course focuses on experiential learning. You will explore how to use a no-code software, train a model, improve training data through feature engineering, and test the performance of your model. This is an online, synchronous course. We recommend taking the AI Foundations (CEAI 1001) and Responsible AI (CEAI 1002) before taking this course. *CNT* This course is a great way to help you: • Manipulate data for an AI project • Communicate with data in an easy-to-understand visual format • Manage a simple end-to-end AI project using a no-code software • Explore emerging techniques in machine learning and AI *APP* This fully online course employs a project-based approach that focuses on the acquisition of practical real-world skills in AI. You will learn directly from industry professionals and receive individualized feedback. You will have the opportunity to go beyond AI theory by actively participating in assignments aimed at using AI for problem-solving. *WHO* • Tech enthusiasts who want to add AI to their skillset • Managers who want to better support their technical AI employees or who may be involved in AI projects • Employees in different industries who want to learn how AI solutions can help solve problems or want to contribute to their organization’s AI projects more meaningfully • Students who want to prepare themselves for an AI workforce or explore AI as a potential career path • Anyone who wants to begin experimenting with AI

Cybersecurity Awareness for Business and Employees

Course code: CECR 2002 - Duration: 30 hours

Start date: February 17, 2026

Type: Course

• Online

CYBER:Cyber Resilience & Security;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Awesome. You’ve learned how to identify the main cybersecurity threats facing you and your organization. Now it’s time for an overarching strategy to help prevent those threats in the first place. Led by a recognized cybersecurity pro, this is the second of three specialized courses in our accelerated Certificate in Cybersecurity Proficiency program. Here, you’ll learn to develop and implement an overall cybersecurity strategy. You’ll also gain the knowledge and skills you need to develop an effective cybersecurity posture for your organization. Let’s do it. *CNT* This is a great way to help you: • Describe the basics of cybersecurity; • Describe different types of cyber threats that businesses face; • Communicate methods to protect businesses from cyber-attacks; • Advocate for the importance of cybersecurity for businesses; • Communicate using cybersecurity terminology, when speaking to technical professionals; • Communicate cybersecurity in business terms to upper management; • List areas of an organization to consider when developing a cybersecurity strategy. *APP* In this online course, you’ll benefit from demonstrations, case-studies, and problem-based learning led by industry experts. You’ll also learn through peer conversations and through practical tasks that are readily applicable to small- and medium-sized businesses. *WHO* • Non-technical professionals with responsibilities over significant confidential, sensitive data who want to minimize their organization’s information-management and security risks. • Employees in a non-technical role who work with cybersecurity professionals and need to be proficient in their jargon. • Executives, senior managers, and technical staff who want to bolster cybersecurity within their organizations. • Employees who want to broaden their skills to access new career opportunities. • Students or other individuals who want to increase their understanding of cybersecurity for personal or professional reasons.

Sensibilisation à la cybersécurité

Course code: CECR 2002F - Duration: 30 hours

Start date: February 17, 2026

Type: Course

• Online

CYBER:Cyber Resilience & Security;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Vous avez appris à identifier les principales menaces de cybersécurité qui pèsent sur vous et votre organisation. Il est maintenant temps d'élaborer une stratégie globale pour prévenir ces menaces. Dirigé par un professionnel reconnu de la cybersécurité, ce cours est le deuxième des trois cours spécialisés de notre programme accéléré de certificat de compétence en cybersécurité. Vous apprendrez à développer et à mettre en œuvre une stratégie globale de cybersécurité. Vous acquerrez également les connaissances et les compétences nécessaires pour mettre en place un dispositif de cybersécurité efficace pour votre organisation. *CNT* Ce cours est un excellent moyen de vous aider à : • Décrire les fondements de la cybersécurité • Décrire les différents types de cybermenaces auxquelles les entreprises sont confrontées  • Communiquer des méthodes pour protéger les entreprises contre les cyber-attaques • Plaider en faveur de l'importance de la cybersécurité pour les entreprises  • Communiquer en utilisant la terminologie de la cybersécurité, lorsque vous vous adressez à des professionnels techniques • Communiquer sur la cybersécurité en termes commerciaux aux gestionnaires • Lister les domaines d'une organisation à prendre en compte lors de l'élaboration d'une stratégie de cybersécurité *APP* Dans ce cours en ligne, vous bénéficierez de démonstrations, d'études de cas et d'un apprentissage basé sur des problèmes, dirigés par des experts du secteur. Vous apprendrez également par le biais de conversations entre pairs et de tâches pratiques facilement applicables aux petites et moyennes entreprises. *WHO* • Les professionnels non techniques exerçant des responsabilités sur des données confidentielles et sensibles importantes et qui souhaitent minimiser les risques liés à la gestion et à la sécurité de l'information de leur organisation. • Les employés occupant une fonction non technique qui travaillent avec des professionnels de la cybersécurité et qui doivent maîtriser leur jargon. • Les dirigeants, les cadres supérieurs et le personnel technique qui souhaitent renforcer la cybersécurité au sein de leur organisation. • Les employés qui souhaitent élargir leurs compétences afin d'accéder à de nouvelles opportunités de carrière. • Les étudiants et autres personnes qui souhaitent mieux comprendre la cybersécurité pour des raisons personnelles ou professionnelles.

Big Data Infrastructure

Course code: CEBD 1261 - Duration: 30 hours

Start date: March 30, 2026

Type: Course

• Online

DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* So, you had your introduction to Big Data, then you learned all about analytics. Now it's time to look at the systems you'll need to manage all that data and make sense of it. In this course, you'll review the state-of-the-art infrastructures used for high-performance storage and processing of data. You'll study distributed systems like Hadoop, NoSQL database systems like Mongo DB, as well as clusters and clouds, like Amazon EC2 and Microsoft Azure. You'll also use programming models like Hadoop MapReduce and Apache Spark to leverage those systems. If technical talk like that gets your heart racing, this is definitely the course for you. Knowledge in Excel, SQL, Python and/or R and statistics and probability are crucial for you to be successful in this course. If you do not have knowledge in these areas, we strongly recommend that you take Intro to data Analysis with Excel (CEBD 1300), Intro to SQL (CEWP 215), Intro to R for data Sciences (CEBD 1200) and/or Intro to Python and Data Analysis (CEBD 1100). Note that you will be required to do 5-10 hours of work per week outside of class time. Those with little to no prior knowledge will require more time to gain familiarity with the concepts. *CNT* This course is a great way to help you: • Understand the core infrastructure concepts to deploy Big Data applications at scale; • Acquire practical expertise with those concepts using state-of-the-art cloud systems; • Deploy the analytics solutions reviewed in CEBD 1260, at scale, on those cloud systems. *APP* This course employs project-based learning that's focused on the acquisition of practical, real-world skills and not just theory. You'll be taught by an industry pro using state-of-the-art technologies and software. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom). *WHO* • Students who completed CEBD 1260 and want to continue their studies. • Individuals who want to improve the performance of their organization by better harnessing Big Data. • Professionals who want to leverage data for better decision-making. • Entrepreneurs with projects that could benefit from data analytics. • Students in fields like geography, biology, psychology, humanities or any other field with big data. • IT professionals who want to transition to Big Data from more traditional sectors.

HTML5, CSS and Bootstrap

Course code: CEWP 329 - Duration: 40 hours

Start date: March 30, 2026

Type: Course

• Online

ITDEV:Programming;WEBCAD:Web Design & Publishing;TDATA:Technology, Data & Digital Skills;DIGIDES:Digital Design & UX UI *VID* *KEYB* This course is for people working towards their diploma in JavaScript development or PHP development. It’s also perfect for anyone who wants to learn how to program websites properly (and we certainly need more people like that!). Here, you’ll use a hand-coded approach to create web pages and online forms, display tabular data, format and position page content, insert multimedia files and apply micro-data. You'll also get a comprehensive view of HTML5 and CSS, gaining the skills you need to create web pages that are compatible with different browsers, platforms, and devices. Ready, set… code! *CNT* This course is a great way to help you: • Create HTML5 code, CSS style sheets and embedded styles within HTML5 code. • Create responsive page layouts for both mobile and desktop use; • Use the Bootstrap style API for formatting and layout; • Integrate accessibility into web pages; • Enable web pages to be internationalized (culture-sensitive). *APP* This course features lectures and hands-on programming practice led by seasoned industry professionals who’ll guide you every step of the way as you learn industry standards and best practices. To succeed, you will be required to do 5-10 hours of work per week outside of class time. If you have little or no prior knowledge, you’ll need more time to gain familiarity with the concepts. Note that this is an online, synchronous course. *WHO* • Anyone who wants to take the first step towards a career as front-end or full-stack developer. • Anyone who wants to develop or broaden their programming skills. • Business owners and managers in technical domains who want to better understand and evaluate JavaScript programming code. • Programmers who want to learn a new language to open new career horizons.

Intro to Data Analysis with Excel

Course code: CEBD 1300 - Duration: 30 hours

Start date: March 30, 2026

Type: Course

• Online

DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Success in business and science means making smart decisions. And those require the kind of information you can only get from sophisticated data analysis. It’s a growing field with huge opportunities. And it all starts right here. This course is where you’ll begin your journey in Big Data Business, learning everything you need to know to analyze, communicate and manage complex information using Microsoft Excel and its advanced analytics modules, visualization tools and external data sources. From there, you’ll move on to real-world business applications and more. But one step at a time. If you’re ready to begin, we’re ready for you! If you’re new to Big Data or only have the basics but want to take the Big Data Business Stream, we strongly recommend you start with this course. Seriously. IMPORTANT NOTE You will be required to do 5-10 hours of work per week outside of class time. If you have little or no prior knowledge, you might need extra time to gain familiarity with the concepts. But don’t worry. You’ve got this! *CNT* This course is a great way to help you: • Analyze, communicate and manage complex information using Microsoft Excel; • Use advanced analytics to extract information from diverse types of data sources; • Create data aggregations and dynamic visualizations for data analytics projects; • Work collaboratively in multidisciplinary teams and present advanced analytics projects clearly and efficiently; • Draw valuable insights from raw data for business purposes. *APP* This course employs student-centered, project-based learning that's focused on the acquisition of practical, real-world skills and not just theory. You'll get close, personalized instruction from an industry pro. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom). *WHO* • Anyone who wants to follow the Business stream in the Big Data program. • Individuals who want to improve the performance of their organization using data. • Professionals who want to leverage data for better decision-making. • Entrepreneurs with projects that could benefit from data analytics. • IT professionals who want to transition to data analytics from more traditional sectors. *ADD* There are a couple of easy yet crucial specifications needed to function in class: 1. Computer / laptop equipped with Windows 10 and Microsoft Excel (2019, English) 2. Processor - 1.6 Ghz, 2-core processor 3. Memory (RAM) - 4 GB (for Windows 64 bit) or 2 GB (Windows 32 bit) 4. Hard Disk Space - 4 GB available disk space 5. BYOD - Students need to request 1) Concordia email 2) free Excel license via Microsoft 6. As a benefit of being a Concordia student you can access the entire Microsoft Suite using the following link: https://www.concordia.ca/it/services/office-365-education.html

Comprendre les données de l'IA

Course code: CEAI 1003F - Duration: 30 hours

Start date: March 31, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* En 2006, le mathématicien britannique Clive Humby déclarait : « Les données sont le nouveau pétrole ». Et les données sont le carburant qui alimente l'IA. Cependant, il ne suffit pas d'avoir des données, il faut des données de qualité. Mais comment identifier des données de qualité dans le monde de l'IA ? Ce cours apporte la réponse. La première partie du cours vous aidera à identifier les bonnes données, à repérer les biais potentiels et à interpréter les graphiques et autres visualisations à partir des données. La deuxième partie du cours se concentre sur les aspects pratiques des données pour les projets d'IA. Cette section vous aidera à évaluer les besoins en données pour les projets d'IA, à différencier les diverses méthodes de stockage et à identifier les sources de données. À l'issue de ce cours, vous aurez compris l'aspect le plus important de l'IA : les données. Pour vous aider à développer des compétences en matière de données pour l'IA, vous ferez face à des études de cas et à d'autres projets qui ressemblent à des situations liées aux données auxquelles les professionnels de l'IA sont confrontés quotidiennement. Au cours de ces exercices, vous examinerez les différentes étapes du cycle de vie des données pour vous aider à évaluer la qualité des données et les exigences de divers projets d'IA. Les missions vous positionneront en tant qu'expert du domaine et client d'un projet d'IA et vous apprendront à travailler aux côtés d'un scientifique des données. Êtes-vous prêt à relever le défi ? Il s'agit d'un cours en ligne, synchrone. Nous recommandons de suivre les cours Fondements de l'IA (CEAI 1001F) et L’IA responsable (CEAI 1002F) avant de suivre ce cours. *CNT* Ce cours est un excellent moyen de vous aider à : • Expliquer l'importance de « bonnes » données dans les projets d'IA • Décrire les différents types de données utilisés dans les projets d'IA • Identifier les différentes techniques utilisées pour traiter et stocker les données dans l'IA • Évaluer ce qui est nécessaire pour mener à bien un projet d'IA *APP* Ce cours entièrement en ligne utilise une approche par projets qui se concentre sur l'acquisition de compétences pratiques dans le monde réel en matière d'IA. Vous apprendrez directement auprès de professionnels de l'industrie et recevrez un retour d'information individualisé. Vous aurez l'occasion d'aller au-delà de la théorie de l'IA en participant activement à des missions visant à utiliser l'IA pour résoudre des problèmes. *WHO* • Les passionnés de technologie qui souhaitent ajouter l'IA à leur palette de compétences • Les dirigeants ayant des responsabilités financières, opérationnelles ou technologiques qui sont intéressés par l'adoption de l'IA • Les gestionnaires qui souhaitent mieux soutenir leurs employés techniques en matière d'IA ou qui peuvent être impliqués dans des projets d'IA • Les employés de différents secteurs qui veulent apprendre comment les solutions d'IA peuvent aider à résoudre des problèmes ou qui veulent contribuer de manière plus significative aux initiatives d'IA de leur organisation. • Les étudiants qui souhaitent se préparer à travailler dans le domaine de l'IA ou explorer l'IA en tant que carrière potentielle • Toute personne qui souhaite apprendre les principes fondamentaux de l'IA ou qui est responsable de la sélection et de l'acquisition de systèmes d'IA

Cybersecurity Solutions

Course code: CECR 2003 - Duration: 30 hours

Start date: March 31, 2026

Type: Course

• Online

CYBER:Cyber Resilience & Security;TDATA:Technology, Data & Digital Skills *VID* *KEYB* This is the third of three courses in our cutting-edge, accelerated Certificate in Cybersecurity Proficiency program. If you’re in it, that means you’ve successfully completed the first two courses and you’ve got a solid knowledge of the game. Congrats. Now it’s time to complete that knowledge by learning some key strategies for mitigating the threats and vulnerabilities your organization might face in the future. You’ll also gain the skills and knowledge needed to develop and implement effective cybersecurity solutions to help keep your organization safe in the present. After all, they’re counting on you! *CNT* This course is a great way to help you: • Outline how to respond quickly and effectively to potential cybersecurity incidents; • Match strategies appropriate to mitigating the various cyber threats; • Select effective, feasible and viable cybersecurity solutions; • Prepare to keep up to date on the latest cybersecurity threats and vulnerabilities. *APP* In this online course, you’ll benefit from demonstrations, case-studies, and problem-based learning led by industry experts. You’ll also learn through peer conversations and through practical tasks that are readily applicable to small- and medium-sized businesses. *WHO* • Non-technical professionals with responsibilities over significant confidential, sensitive data who want to minimize their organization’s information-management and security risks. • Employees in a non-technical role who work with cybersecurity professionals and need to be proficient in their jargon. • Executives, senior managers, and technical staff who want to bolster cybersecurity within their organizations. • Employees who want to broaden their skills to access new career opportunities. • Students or other individuals who want to increase their understanding of cybersecurity for personal or professional reasons.

Intro to Big Data Business Cases

Course code: CEBD 1150 - Duration: 30 hours

Start date: March 31, 2026

Type: Course

• Online

MKSM:Digital Marketing;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;DIGICW:Digital Communications & Writing *VID* *KEYB* You're interested in Big Data software systems and technology, clearly, or you wouldn't be reading this. But if you're more interested in harnessing those tools to achieve specific business objectives, this course is for you. It will start with an overview of the most and least successful big data projects in all industries, helping you understand the dos and don’ts that make a data science project successful. You'll also have the chance to imagine and design your own project. In the second part of the course, you'll learn how to identify, collect, and transform data from internal and external sources. So, are you in? Knowledge of Excel and SQL are crucial for you to be successful in this course. If you do not have knowledge in these areas, we strongly recommend that you take Intro to Data Analysis with Excel (CEBD 1300) and Intro to SQL (CEWP 215). Note that you will be required to do 5-10 hours of work per week outside of class time. Those with little to no prior knowledge will require more time to gain familiarity with the concepts. *CNT* This course is a great way to help you: • Understand the business issues solved by Big Data; • Build a data pipeline to help you feed your Big Data project; • Understand the Dos and Don'ts that make a data science project successful; • Imagine and design your own data science project; • Work on structured and unstructured data from social networks using an ETL tool. *APP* This course employs student-centered learning that's focused on the acquisition of practical, real-world skills and not just theory. You'll get close, personalized instruction from an industry pro. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom). *WHO* • Anyone who wants to learn the fundamentals of Big Data. • Students who want to work in Big Data / Data Science for a large- or medium-sized company. • Students who want to create their own startup in Data Science / Big Data. • Employees in the business-intelligence field who want to upgrade their skills or broaden their horizons. • Employees or students who want to become Data Scientists.

Intro to SQL

Course code: CEWP 215 - Duration: 30 hours

Start date: March 31, 2026

Type: Course

• Online

ITDEV:Programming;TDATA:Technology, Data & Digital Skills *VID* *KEYB* When it comes to slick, highly functional sites, web designers get most of the credit. But they couldn't do what they do without the programmers, the unsung heroes of the web. If you're someone who likes to get inside the machine and see how it really works, this course is for you. You'll learn the fundamentals of Structured Query Language, relational database management, database storage structures and information retrieval. This course serves as the foundation for further studies in programming. And if you're reading this on the web, someone, maybe someone like you, took a course just like this and now has a pretty cool job. *CNT* This course is a great way to help you: • Learn the fundamentals of SQL; • Familiarize yourself with basic database management and access; • Understand the basics of relational database management theory; • Gain an understanding of database storage structures; • Gain skills retrieving information using SQL Select. *APP* In this program, you'll gain real-world knowledge through active hands-on learning led by seasoned pros who'll show you the ropes. More excitingly, you'll be using the very latest software. You can't get skills like this on YouTube. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom). *WHO* • Anyone who wants to learn the fundamentals of web programming. • Anyone looking to pursue studies or employment in the field of big data Students who want to work in advertising, animation, graphic design, website creation and management. • Students looking onward to an academic path in web programming. • Employees in marketing, communications or sales who want to refresh their skills or open new horizons. • Small business owners or association members who manage their own communications.

Solutions en cybersécurité

Course code: CECR 2003F - Duration: 30 hours

Start date: March 31, 2026

Type: Course

• Online

CYBER:Cyber Resilience & Security;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Voici le troisième des trois cours de notre programme de pointe et accéléré de certificat de compétence en cybersécurité. Si vous en faites partie, cela signifie que vous avez suivi avec succès les deux premiers cours et que vous avez acquis une solide connaissance du jeu. Félicitations. Il est maintenant temps de compléter ces connaissances en apprenant quelques stratégies clés pour atténuer les menaces et les vulnérabilités auxquelles votre organisation pourrait être confrontée à l'avenir. Vous acquerrez également les compétences et les connaissances nécessaires pour élaborer et mettre en œuvre des solutions de cybersécurité efficaces afin d'assurer la sécurité de votre organisation dans le présent. *CNT* Ce cours est un excellent moyen de vous aider à : • Indiquer comment réagir rapidement et efficacement à d'éventuels incidents de cybersécurité • Faire correspondre les stratégies appropriées pour atténuer les différentes menaces cybernétiques • Choisir des solutions de cybersécurité efficaces, réalisables et viables  • Vous préparer à rester au courant des dernières menaces et vulnérabilités en matière de cybersécurité   *APP* Dans ce cours en ligne, vous bénéficierez de démonstrations, d'études de cas et d'un apprentissage basé sur des problèmes, dirigés par des experts du secteur. Vous apprendrez également par le biais de conversations entre pairs et de tâches pratiques facilement applicables aux petites et moyennes entreprises. *WHO* • Les professionnels non techniques exerçant des responsabilités sur des données confidentielles et sensibles importantes et qui souhaitent minimiser les risques liés à la gestion et à la sécurité de l'information de leur organisation. • Les employés occupant une fonction non technique qui travaillent avec des professionnels de la cybersécurité et qui doivent maîtriser leur jargon. • Les dirigeants, les cadres supérieurs et le personnel technique qui souhaitent renforcer la cybersécurité au sein de leur organisation. • Les employés qui souhaitent élargir leurs compétences afin d'accéder à de nouvelles opportunités de carrière. • Les étudiants et autres personnes qui souhaitent mieux comprendre la cybersécurité pour des raisons personnelles ou professionnelles.

Understanding AI Data

Course code: CEAI 1003 - Duration: 30 hours

Start date: March 31, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* Artificial Intelligence (AI) doesn’t exist without data. In 2006, British mathematician Clive Humby said, “Data is the new oil.” And data is the fuel that powers AI. However, having data is not enough, you need good data. But how can you identify quality data in the AI world? This course provides the answer. The first part of the course will help you identify good data, spot potential biases, and interpret graphs and other visualizations from data. The second part of the course will focus on the practical aspects of data for AI projects. This section will help you assess data requirements for AI projects, differentiate between various storage methods, and identify data sources. Upon completion of the course, you will grasp the single most important aspect of AI—data. To help you develop data skills for AI, you will be exposed to case studies and other projects that resemble data-related situations AI professionals face daily. During these exercises, you will examine the different steps of the data lifecycle to help you assess data quality and the requirements for various AI projects. The assignments will position you as the domain expert and client on an AI project and teach you how to work alongside a data scientist. Are you up for the challenge? This is an online, synchronous course. We recommend taking the AI Foundations (CEAI 1001) and Responsible AI (CEAI 1002) before taking this course. *CNT* This course is a great way to help you: • Explain the importance of "good" data in AI projects • Describe the different types of data used in AI projects • Identify the different techniques used to handle and store data in AI • Assess what is required to carry out an AI project *APP* This fully online course employs a project-based approach that focuses on the acquisition of practical real-world skills in AI. You will learn directly from industry professionals and receive individualized feedback. You will have the opportunity to go beyond AI theory by actively participating in assignments aimed at using AI for problem-solving. *WHO* • Tech enthusiasts who want to add AI to their skill set • Leaders with financial, operational, or technological responsibilities who are interested in adopting AI • Managers who want to better support their technical AI employees or who may be involved in AI projects • Employees in different industries who want to learn how AI solutions can help solve problems or want to contribute to their organization’s AI initiatives more meaningfully • Students who want to prepare themselves for an AI workforce or explore AI as a potential career path • Anyone who wants to learn the fundamentals of AI

Intro to R

Course code: CEBD 1200 - Duration: 30 hours

Start date: April 1, 2026

Type: Course

• Online

ITDEV:Programming;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* So, you’re new to programming. Or maybe you’re a novice user of another programming language. Either way, you’ve come to the right place. In this course, you’ll acquire the skills and competencies to write simple programs in R, covering core language concepts (variables, loops, etc.). There are currently over 2 million people worldwide performing data analytics using R and you can be one of them! Ready to start? You will be required to do 5-10 hours of work per week outside of class time. If you have little or no prior knowledge, you might need extra time to gain familiarity with the concepts. But don’t worry. You’ve got this! *CNT* This course is a great way to help you: • Configure a functional R environment to program in R efficiently • Manipulate basic data structures in R • Use R to implement a variety of data-related functions commonly used in the workplace • Write R programs using simple control constructs *APP* This course employs student-centered learning that's focused on the acquisition of practical, real-world skills and not just theory. You'll get close, personalized instruction from an industry pro. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom). *WHO* • Anyone who is interested in working in the IT stream of Big Data • Individuals who want to improve the performance of their organization by harnessing Big Data • Professionals who want to leverage data for better decision-making. • Entrepreneurs with projects that could benefit from data analytics. • Students of geography, biology, psychology, humanities or any other field with massive amounts of data • IT professionals who want to transition to Big Data from more traditional sectors • People who are new to programming or are novice users of Python or another programming language • People who are genuinely interested in Data Science and Analytics and would like to better understand what they can do with R

Working with Generative AI

Course code: CEAI 1005 - Duration: 30 hours

Start date: April 1, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* Generative AI is redefining what efficiency means in the workplace. It speeds up routine tasks, frees up time, and makes learning faster. But turning that pace into consistently high-quality work takes skill, support, and a stronger relationship with AI. Our Working with Generative AI course helps you move past quick wins to actually make AI a reliable part of your daily workflow. In it, you’ll learn generative AI tools, discover when each one shines, and develop the instincts to use them effortlessly for faster and higher-quality work. Generative AI is changing how career success is achieved. When you learn how to use it confidently, creatively, and responsibly, you’ll find new ways to keep your career growing and secure. *CNT* • Apply a variety of GenAI tools to get more done, free up time and produce higher-quality work. • Put advanced prompting skills and other communication techniques into practice to get the most out of your GenAI interactions. • Identify new opportunities to solve problems creatively with GenAI. • Understand how to use GenAI responsibly by recognizing risks, limits and potentials biases. • Build confidence using GenAI by learning how it works and the history behind its emergence. *APP* Through expert guidance and interactive, collaborative sessions, you'll practice using Generative AI tools in real work scenarios. This hands-on approach encourages experimentation and reflection so you can apply AI skills responsibly and thoughtfully. *WHO* This course is designed for professionals who: • Want to use AI to its fullest to work faster, produce higher-quality deliverables, and make smarter decisions with confidence. • Are eager to explore new tools to advance their AI knowledge. • Are determined to adapt and keep their skills current as AI transforms the workplace. • Are seeking an AI community to connect with for continuous learning and growth. • Aspire to lead GenAI initiatives responsibly within their organization.

Intro to Python

Course code: CEBD 1100 - Duration: 30 hours

Start date: April 2, 2026

Type: Course

• Online

ITDEV:Programming;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* When companies, researchers, engineers, and analysts develop solutions, create products, or make policy recommendations, they rely on Data Analysis to make informed decisions. In this course, you will learn about the basics of programming in Python and applying these skills to analyzing data. You'll start with the basics of designing an algorithm, basic Python programming, an introduction to the Scipy scientific computing ecosystem, and learn the fundamentals of machine learning. Note that you will be required to do 5-10 hours of work per week outside of class time. Those with little to no prior knowledge will require more time to gain familiarity with the concepts. *CNT* This course is a great way to help you: • Gain a foundation in numerical programming and algorithm development; • Learn Python as a language for writing scripts, packages, and performing data analysis; • Develop and refine skills in git for version control and bash for operating within Linux environments; • Learn basic principles and pitfalls of machine learning applied to real-world problems. *APP* This course employs project-based learning that's focused on the acquisition of practical, real-world skills and not just theory. *WHO* Individuals who want to improve the performance of their organization by harnessing Big Data. • Professionals who want to leverage data for better decision-making. • Entrepreneurs with projects that could benefit from data analytics. • Students in fields like geography, biology, psychology, humanities or any other field with big data. • IT professionals who want to transition to Big Data from more traditional sectors.

Travailler avec l'IA

Course code: CEAI 1004F - Duration: 30 hours

Start date: April 2, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* À quoi ressemble le quotidien d'un professionnel de l'IA ? Dans ce cours, vous ferez l'expérience du flux de travail typique de l'IA en participant à un projet d'IA. De la définition du problème à l'entraînement et à l'évaluation du modèle, vous porterez la casquette d'un scientifique des données et développerez un projet d'apprentissage automatique à l'aide d'un logiciel convivial sans code. Ce processus vous aidera à comprendre les risques et les limites des modèles d'IA et vous apprendra à les atténuer. Enfin, vous découvrirez les applications d'IA les plus récentes et la manière dont elles sont utilisées dans l'industrie. Ce cours met l'accent sur l'apprentissage par l'expérience. Vous apprendrez à utiliser un logiciel sans code, à entraîner un modèle, à améliorer les données d'entraînement grâce à l'ingénierie des caractéristiques et à tester les performances de votre modèle. Il s'agit d'un cours en ligne, synchrone. Nous recommandons de suivre les cours Fondements de l'IA (CEAI 1001F) et L’IA responsable (CEAI 1002F) avant de suivre ce cours. *CNT* Ce cours est un excellent moyen de vous aider à : • Manipuler des données dans le cadre d'un projet d'intelligence artificielle • Communiquer à l'aide de données dans un format visuel facile à comprendre • Gérer un projet d'IA simple de bout en bout à l'aide d'un logiciel sans code • Engager une équipe d'experts pluridisciplinaires pour recueillir des informations sur les questions éthiques • Explorer les techniques émergentes en matière d'apprentissage automatique et d'IA *APP* Ce cours entièrement en ligne utilise une approche par projets qui se concentre sur l'acquisition de compétences pratiques dans le monde réel en matière d'IA. Vous apprendrez directement auprès de professionnels de l'industrie et recevrez un retour d'information individualisé. Vous aurez l'occasion d'aller au-delà de la théorie de l'IA en participant activement à des missions visant à utiliser l'IA pour résoudre des problèmes. *WHO* • Les passionnés de technologie qui souhaitent ajouter l'IA à leur palette de compétences • Les gestionnaires qui souhaitent mieux soutenir leurs employés techniques en IA ou qui peuvent être impliqués dans des projets d'IA • Les employés de différents secteurs qui veulent apprendre comment les solutions d'IA peuvent aider à résoudre des problèmes ou qui veulent contribuer de manière plus significative aux projets d'IA de leur organisation. • Les étudiants qui souhaitent se préparer à travailler dans le domaine de l'IA ou explorer l'IA en tant que carrière potentielle • Toute personne souhaitant commencer à expérimenter l'IA

Working with AI

Course code: CEAI 1004 - Duration: 30 hours

Start date: April 2, 2026

Type: Course

• Online

ENTPR:Business & Entrepreneurship;MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* What does the day-to-day of an AI professional look like? In this course, you will experience the typical AI workflow by participating in an AI project. From the problem definition stage to model training and evaluation, you will wear the hat of a data scientist and develop an end-to-end machine learning project using a user-friendly no-code software. This process will help you understand the risks and limitations of AI models and teach you how to mitigate them. Finally, you will learn about state-of-the-art AI applications and how they are used in the industry. This course focuses on experiential learning. You will explore how to use a no-code software, train a model, improve training data through feature engineering, and test the performance of your model. This is an online, synchronous course. We recommend taking the AI Foundations (CEAI 1001) and Responsible AI (CEAI 1002) before taking this course. *CNT* This course is a great way to help you: • Manipulate data for an AI project • Communicate with data in an easy-to-understand visual format • Manage a simple end-to-end AI project using a no-code software • Explore emerging techniques in machine learning and AI *APP* This fully online course employs a project-based approach that focuses on the acquisition of practical real-world skills in AI. You will learn directly from industry professionals and receive individualized feedback. You will have the opportunity to go beyond AI theory by actively participating in assignments aimed at using AI for problem-solving. *WHO* • Tech enthusiasts who want to add AI to their skillset • Managers who want to better support their technical AI employees or who may be involved in AI projects • Employees in different industries who want to learn how AI solutions can help solve problems or want to contribute to their organization’s AI projects more meaningfully • Students who want to prepare themselves for an AI workforce or explore AI as a potential career path • Anyone who wants to begin experimenting with AI

Intro to SQL

Course code: CEWP 215 - Duration: 30 hours

Start date: June 18, 2026

Type: Course

• Online

ITDEV:Programming;TDATA:Technology, Data & Digital Skills *VID* *KEYB* When it comes to slick, highly functional sites, web designers get most of the credit. But they couldn't do what they do without the programmers, the unsung heroes of the web. If you're someone who likes to get inside the machine and see how it really works, this course is for you. You'll learn the fundamentals of Structured Query Language, relational database management, database storage structures and information retrieval. This course serves as the foundation for further studies in programming. And if you're reading this on the web, someone, maybe someone like you, took a course just like this and now has a pretty cool job. *CNT* This course is a great way to help you: • Learn the fundamentals of SQL; • Familiarize yourself with basic database management and access; • Understand the basics of relational database management theory; • Gain an understanding of database storage structures; • Gain skills retrieving information using SQL Select. *APP* In this program, you'll gain real-world knowledge through active hands-on learning led by seasoned pros who'll show you the ropes. More excitingly, you'll be using the very latest software. You can't get skills like this on YouTube. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom). *WHO* • Anyone who wants to learn the fundamentals of web programming. • Anyone looking to pursue studies or employment in the field of big data Students who want to work in advertising, animation, graphic design, website creation and management. • Students looking onward to an academic path in web programming. • Employees in marketing, communications or sales who want to refresh their skills or open new horizons. • Small business owners or association members who manage their own communications.

AI Implementation Strategies

Course code: CEPS 1126EO - Duration: 3 hours

Type: Workshop

MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Defining an AI strategy is different from creating a traditional business strategy. This workshop aims to guide you through the process of creating a winning and targeted AI strategy. Sounds good? Read on… We know that Artificial Intelligence is changing the way we do business across all fields. There are many opportunities for automation with regards to the customer experience and varied product offerings. Aside from the major technological advantages of AI, we can also see important positive financial implications of AI. Join expert Adrian Gonzalez Sanchez and dive into the exciting world of AI strategizing! *CNT* This training will enable you to: • Define a pragmatic approach to implementing a winning AI corporate strategy; • Discuss realistic AI implementations and requirements based on different organizational maturity levels; • Adapt the AI strategy to specific industries and companies; • Understand AI and its ecosystem, and how industry leaders are taking steps to drive unfair advantage from it. *APP* This business-oriented workshop is based on fundamental theories and industry case studies taken from large data-driven companies. In short, you’ll learn by reading, analyzing and doing. Case readings and AV material are drawn from current topics and recent news/events. In order to maximize engagement and knowledge transfer during our online workshops, it is highly recommended that participants keep their cameras on. *WHO* If your area of expertise is on the following list, you could benefit greatly from this workshop: • Team leaders; • Data-oriented professionals; • Consultants; • Data strategists; • Business analysts; • Business professionals in technology-oriented projects; • IT professionals; • Students; • Employers who want to give their employees a great learning opportunity that will contribute to the success of their organization. All workshops can be customized for corporate groups. They can be offered on the date of your choosing, remotely, in your office or in one of our campuses. *ADD* 1) Registration fee includes electronic course materials. 2) In the event we don’t have enough participants, the workshop will be cancelled and you will, of course, be reimbursed in full 3) This workshop meets the requirements for the 1% Conformity Law (in accordance with the Workforce Skills Development and Recognition Act) 4) If you wish to pay for this workshop via invoice, please write directly to cce@concordia.ca and our service staff will assist you. *TR* [IMAGE_C:/content/dam/cce/images/trainers/Adrian_Gonzalez_Sanchez_photo.jpg|Adrian Gonzales Sanchez] Adrian Gonzalez Sanchez, M.Sc. (Mobile Communications), M.B.A. | Telematics Engineer, Senior Consultant on Artificial Intelligence and Blockchain Technology, Certified Scrum Product Owner® (CSPO) Adrian Gonzalez Sanchez is a Senior Cloud, Data & AI Specialist at Microsoft, as well as the industry lead at the Spanish Observatory of Ethical AI (OdiseIA). He was a senior consultant and product owner in AI and data science with CGI Canada and IVADO Labs, head of customer success for Peritus.ai Canada, and has been a consultant to other data-driven companies in Europe and Latin America. Adrian has a wealth of hands-on experience in the fields of artificial intelligence, ethics and responsible AI, big data and cloud-enabled systems, data-driven corporate strategy, national AI strategies and regulations, telecommunications, and the Internet of Things. He is a frequent university lecturer and collaborates with 2U / GetSmarter as a tutor and learning facilitator for MIT Sloan's AI and Blockchain and Harvard VPAL's Fintech Executive Training courses.

Big Data Analytics for Business

Course code: CEBD 1151 - Duration: 30 hours

Type: Course

DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Every day we have to take decisions based on limited resources. Limits on money, assets, technology, materials and specially time. In this course you will learn how companies, governments and organizations are taking data-driven decisions to better manage their resources and improve many aspects their business and our lives. Here you will learn how to identify the different challenges in Big Data and how to use Data Analytics to solve them. From regression, to classification, clustering, recommendation systems and natural language processing. You will see how businesses are leveraging analytics and machine learning to solve these problems and how you can apply in your own use cases. Knowledge of Excel and/or SQL is highly recommended. If you do not have knowledge in these areas, we strongly recommend that you take Intro to Data Analysis with Excel (CEBD 1300) and Intro to SQL (CEWP 215). Note that you will be required to do 5-10 hours of work per week outside of class time. Those with little to no prior knowledge will require more time to gain familiarity with the concepts. *CNT* • Understand the challenges in big data analytics; • Understand the big data analytics project life cycle; • Identify business opportunities with data analytics and machine learning; • Build a data driven solution on real world datasets. *APP* This course employs project-based learning that's focused on the acquisition of practical, real-world skills and not just theory. You'll be taught by an industry pro using state-of-the-art technologies and software. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom). *WHO* Individuals who want to improve the performance of their organization by harnessing Big Data. • Professionals who want to leverage data for better decision-making. • Entrepreneurs with projects that could benefit from data analytics. • Students in fields like geography, biology, psychology, humanities or any other field with big data. • IT professionals who want to transition to Big Data from more traditional sectors.

Creating Value with Machine Learning

Course code: CEPS 1114EO - Duration: 3 hours

Type: Workshop

ENTPR:Business & Entrepreneurship;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Expectation versus reality! This is one of the key aspects for organizations around the world to succeed during the ideation, launch and implementation of their new Artificial Intelligence initiatives. Will adequate machine learning and deep learning be easily achievable? Unfortunately, no. Gartner predicts that 85% of AI projects will fail by 2022. Is there a solution? Yes! This workshop is a realistic and pragmatic discussion on how to approach your next AI-based project, to properly roadmap your implementation and to plan required resources. Concretely, this workshop is an accelerated immersion: you will learn about the key aspects of both machine learning and deep learning, and their current industry applications. *CNT* This training will enable you to: • Identify the different kinds of AI technologies and available tools to create realistic, short-term value; • Understand the technical differences between machine learning and deep learning technologies; • Find the fit between an organization’s strategic goals and the potential value generated by AI projects; • Define a framework to approach the ideation and launch phases of future AI projects. *APP* This business-oriented workshop is based on fundamental theories and industry case studies taken from large data-driven companies. In short, you’ll learn by reading, thinking and doing. Case readings and AV material are drawn from current topics and recent news/events. In order to maximize engagement and knowledge transfer during our online workshops, it is highly recommended that participants keep their cameras on. *WHO* If your area of expertise is on the following list, you could benefit greatly from this workshop: • Data-oriented professionals; • Consultants; • Data strategists; • Business analysts; • Business professionals in technology-oriented projects; • IT professionals; • Students; • Employers who want to give their employees a great learning opportunity that will contribute to the success of their organization. All workshops can be customized for corporate groups. They can be offered on the date of your choosing, in your office or in one of our campuses. *ADD* 1) Registration fee includes electronic course materials. 2) In the event we don’t have enough participants, the workshop will be cancelled and you will, of course, be reimbursed in full 3) This workshop meets the requirements for the 1% Conformity Law (in accordance with the Workforce Skills Development and Recognition Act) 4) If you wish to pay for this workshop via invoice, please write directly to cce@concordia.ca and our service staff will assist you. *TR* [IMAGE_C:/content/dam/cce/images/trainers/Adrian_Gonzalez_Sanchez_photo.jpg|Adrian Gonzales Sanchez] Adrian Gonzalez Sanchez, M.Sc. (Mobile Communications), M.B.A. | Telematics Engineer, Senior Consultant on Artificial Intelligence and Blockchain Technology, Certified Scrum Product Owner® (CSPO) Adrian Gonzalez Sanchez is a Senior Cloud, Data & AI Specialist at Microsoft, as well as the industry lead at the Spanish Observatory of Ethical AI (OdiseIA). He was a senior consultant and product owner in AI and data science with CGI Canada and IVADO Labs, head of customer success for Peritus.ai Canada, and has been a consultant to other data-driven companies in Europe and Latin America. Adrian has a wealth of hands-on experience in the fields of artificial intelligence, ethics and responsible AI, big data and cloud-enabled systems, data-driven corporate strategy, national AI strategies and regulations, telecommunications, and the Internet of Things. He is a frequent university lecturer and collaborates with 2U / GetSmarter as a tutor and learning facilitator for MIT Sloan's AI and Blockchain and Harvard VPAL's Fintech Executive Training courses.

Development and Programming Basics

Course code: CEWP 210 - Duration: 30 hours

Type: Course

ITDEV:Programming;TDATA:Technology, Data & Digital Skills *VID* *KEYB* This course is a vital opportunity to familiarize yourself with the prerequisite knowledge you’ll need to complete almost any other programming or software development course. Here, you’ll learn essential programming fundamentals, and the basics of networking and server technologies, while gaining skill at identifying the best language to meet your programming needs and communicating with other IT professionals. There’s lots to learn, so let’s get started… *CNT* This course is a great way to help you: • Read the basic code in most high-level languages; • Choose the appropriate programming language for a specific need; • Create and interpret pseudocode and UML diagrams; • Use generalized development IDE’s like Visual Studio Code; • Implement basic programming concepts and structures; • Create simple to intermediate algorithms for any programming language; • Use a source control like GIT to store and share source code. *APP* This course features lectures and hands-on programming practice led by seasoned industry professionals who’ll guide you every step of the way as you learn industry standards and best practices. To succeed, you will be required to do 5-10 hours of work per week outside of class time. If you have little or no prior knowledge, you’ll need more time to gain familiarity with the concepts. Note that this is an online, synchronous course. *WHO* • Students working to complete their diploma program in Java, JavaScript or PHP development. • Anyone who wants to take the first step towards a career as a developer. • Anyone who wants to develop or broaden their programming skills. • Business owners and managers in technical domains who want to better understand and evaluate Java and JavaScript programming codes. • Programmers who want to learn a new language to open new career horizons.

Exploring Data Integration and ETL

Course code: CEPS 1111EO - Duration: 3 hours

Type: Workshop

DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Today, data is a powerful asset for any organization. Data is literally everywhere and it is growing exponentially: 500 million tweets or 294 billion emails per day, 65 billion messages on WhatsApp, etc. This high volume, combined with the variety of sources (i.e., structured, unstructured, etc.) and the velocity or pace of the data generation brings multiple opportunities for value creation. You won’t be surprised to learn it also brings about some challenges such as data collection, storage, analysis and most importantly, integration. A properly designed data integration process is THE key step to combine different data sources by adapting their format, fields and the way they are consumed. For this to happen, ETL (Extract, Transform and Load) tools are a simple and scalable solution. During this workshop, expert Adrian Gonzalez-Sanchez will provide you with a proper understanding of the data-driven value creation process, the main data integration techniques and tools, and how to design a solid and scalable ETL workflow. Intrigued? We’d be surprised if you weren’t. *CNT* This training will enable you to: • Understand the different types of data and their potential value; • Explore data integration techniques and choose those that are the best fit for your data sources; • Explain traditional issues and challenges of data exploration, and the role of the ETL tools to solve them; • Present the most important ETL tools, their subscription models and advantages. *APP* This business-oriented workshop is based on fundamental theories and industry case studies taken from large data-driven companies. In short, you’ll learn by reading, thinking and doing. Case readings and AV material are drawn from current topics and recent news/events. In order to maximize engagement and knowledge transfer during our online workshops, it is highly recommended that participants keep their cameras on. *WHO* If your area of expertise is on the following list, you could benefit greatly from this workshop: • Project managers; • Product owners; • Team leaders; • Data-oriented professionals; • Consultants; • Data strategists; • Business analysts; • Business professionals in technology-oriented projects; • IT professionals; • Students; • Employers who want to give their employees a great learning opportunity that will contribute to the success of their organization. All workshops can be customized for corporate groups. They can be offered on the date of your choosing, remotely, in your office or in one of our campuses. *ADD* 1) Registration fee includes electronic course materials. 2) In the event we don’t have enough participants, the workshop will be cancelled and you will, of course, be reimbursed in full 3) This workshop meets the requirements for the 1% Conformity Law (in accordance with the Workforce Skills Development and Recognition Act). 4) If you wish to pay for this workshop via invoice, please write directly to cce@concordia.ca and our service staff will assist you. *TR* [IMAGE_C:/content/dam/cce/images/trainers/Adrian_Gonzalez_Sanchez_photo.jpg|Adrian Gonzales Sanchez] Adrian Gonzalez Sanchez, M.Sc. (Mobile Communications), M.B.A. | Telematics Engineer, Senior Consultant on Artificial Intelligence and Blockchain Technology, Certified Scrum Product Owner® (CSPO) Adrian Gonzalez Sanchez is a frequent university lecturer with a wealth of hands-on experience in the fields of big data and artificial intelligence. Over the years, he’s had extensive experience with leading data-centric companies like Dhatim, Geoblink and others and is a frequent AI consultant to CGI, IVADO Labs and other Canadian industry leaders. In addition to his practical experience, Adrian is a tutor and learning facilitator for MIT Sloan's executive AI & Blockchain course".

Exploring Legal and Ethical Aspects of AI

Course code: CEPS 1124EO - Duration: 3 hours

Type: Workshop

MANHR:HR, Leadership & Management;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Data is the new gold mine. The more people interact with each other, be it through Facebook and Twitter, or platforms like Amazon, the more data is generated, collected and exploited. Unlike gold, the regulations around data are much more obscure. Does the data generated belong to those who produce them, or those who collect them? What about the ethics of using these data for commercial purposes? Some of these questions regarding the legal and ethical aspect of utilizing data have emerged given the significant commercialization of data in recent years. Another angle of AI research and commercialization that must be seriously considered is the ethical use of data. Companies that spearhead AI development, such as Google and Microsoft, recognize the importance of these implications and have incorporated new ethics roles into their organizations. As Montreal is an international leader of Ethical AI initiatives and development of talent, it is more important now than ever for industry professionals to be aware of international legal regulations, ethical aspects of AI, and data privacy associated with both public and private, current and future data-related initiatives. *CNT* This training will enable you to: • Analyze international data protection laws in the US, Canada, Europe and China; • Evaluate and analyze the role of ethical and legal implications associated with the boom of international AI initiatives and the development of ethical principles in AI; • Understand the importance of evaluating ethical and legal impact as a result of AI technologies when developing an AI-oriented business strategy; • Discuss existing industry cases such as Facebook, Cambridge Analytica, Amazon, etc. *APP* This business-oriented workshop is based on fundamental theories and industry case studies taken from large data-driven companies. In short, you’ll learn by reading, analyzing, and discussing. Case readings and AV material are drawn from current topics and recent news/events. In order to maximize engagement and knowledge transfer during our online workshops, it is highly recommended that participants keep their cameras on. *WHO* If your area of expertise is on the following list, you could benefit greatly from this workshop: • Data-oriented professionals; • Consultants; • Data strategists; • Business analysts; • Business professionals in technology-oriented projects; • IT professionals; • Students; • Employers who want to give their employees a great learning opportunity that will contribute to the success of their organization. All workshops can be customized for corporate groups. They can be offered on the date of your choosing, remotely, in your office or in one of our campuses. *ADD* 1) Registration fee includes electronic course materials. 2) In the event we don’t have enough participants, the workshop will be cancelled and you will, of course, be reimbursed in full 3) This workshop meets the requirements for the 1% Conformity Law (in accordance with the Workforce Skills Development and Recognition Act) 4) If you wish to pay for this workshop via invoice, please write directly to cce@concordia.ca and our service staff will assist you. *TR* [IMAGE_C:/content/dam/cce/images/trainers/Adrian_Gonzalez_Sanchez_photo.jpg|Adrian Gonzales Sanchez] Adrian Gonzalez Sanchez, M.Sc. (Mobile Communications), M.B.A. | Telematics Engineer, Senior Consultant on Artificial Intelligence and Blockchain Technology, Certified Scrum Product Owner® (CSPO) Adrian Gonzalez Sanchez is a Senior Cloud, Data & AI Specialist at Microsoft, as well as the industry lead at the Spanish Observatory of Ethical AI (OdiseIA). He was a senior consultant and product owner in AI and data science with CGI Canada and IVADO Labs, head of customer success for Peritus.ai Canada, and has been a consultant to other data-driven companies in Europe and Latin America. Adrian has a wealth of hands-on experience in the fields of artificial intelligence, ethics and responsible AI, big data and cloud-enabled systems, data-driven corporate strategy, national AI strategies and regulations, telecommunications, and the Internet of Things. He is a frequent university lecturer and collaborates with 2U / GetSmarter as a tutor and learning facilitator for MIT Sloan's AI and Blockchain and Harvard VPAL's Fintech Executive Training courses.

Internet of Things and 5G Mobile Communications

Course code: CEPS 1121EO - Duration: 3 hours

Type: Workshop

MANHR:HR, Leadership & Management;MKSM:Digital Marketing;DSAI:Data Science & Artificial Intelligence;COMMU:Communication;TDATA:Technology, Data & Digital Skills;BUSLM:Business Leadership & Management *VID* *KEYB* Geeks and experts from all over the world would agree that 5G is the foundation for realizing the full potential of Internet of Things aka IoT. The combination of the 5th generation of mobile technologies (5G) and Internet of Things is one of the most promising disruptions and a source of new business opportunities. During this workshop, you will get an accelerated overview of the most important factors for 5G and IoT: technical capabilities, existing initiatives, envisioned deployments and market opportunities. Hurry up and register: the industry is already working to develop a new global standard. *CNT* This training will enable you to: • Explore the fundamentals of 5G and IoT, in comparison with previous 3G and 4G technologies; • Compare existing IoT technologies around the world in terms of market presence and technical architecture; • Analyze existing industry cases and discuss potential implementation ideas based on 5G capabilities; • Understand the potential of both technologies when combined with artificial intelligence and data science. *APP* This business-oriented workshop is based on fundamental theories and industry case studies taken from large data-driven companies. In short, you’ll learn by reading, thinking and doing. Case readings and AV material are drawn from current topics and recent news/events. In order to maximize engagement and knowledge transfer during our online workshops, it is highly recommended that participants keep their cameras on. *WHO* If your area of expertise is on the following list, you could benefit greatly from this workshop: • Data-oriented professionals; • Curious human beings • Data strategists; • Business analysts; • Business professionals in technology-oriented projects; • IT professionals; • Students; • Employers who want to give their employees a great learning opportunity that will contribute to the success of their organization. All workshops can be customized for corporate groups. They can be offered on the date of your choosing, remotely, in your office or in one of our campuses. *ADD* 1) Registration fee includes electronic course materials. 2) In the event we don’t have enough participants, the workshop will be cancelled and you will, of course, be reimbursed in full 3) This workshop meets the requirements for the 1% Conformity Law (in accordance with the Workforce Skills Development and Recognition Act). 4) If you wish to pay for this workshop via invoice, please write directly to cce@concordia.ca and our service staff will assist you. *TR* [IMAGE_C:/content/dam/cce/images/trainers/Adrian_Gonzalez_Sanchez_photo.jpg|Adrian Gonzales Sanchez] Adrian Gonzalez Sanchez, M.Sc. (Mobile Communications), M.B.A. | Telematics Engineer, Senior Consultant on Artificial Intelligence and Blockchain Technology, Certified Scrum Product Owner® (CSPO) Adrian Gonzalez Sanchez is a Senior Cloud, Data & AI Specialist at Microsoft, as well as the industry lead at the Spanish Observatory of Ethical AI (OdiseIA). He was a senior consultant and product owner in AI and data science with CGI Canada and IVADO Labs, head of customer success for Peritus.ai Canada, and has been a consultant to other data-driven companies in Europe and Latin America. Adrian has a wealth of hands-on experience in the fields of artificial intelligence, ethics and responsible AI, big data and cloud-enabled systems, data-driven corporate strategy, national AI strategies and regulations, telecommunications, and the Internet of Things. He is a frequent university lecturer and collaborates with 2U / GetSmarter as a tutor and learning facilitator for MIT Sloan's AI and Blockchain and Harvard VPAL's Fintech Executive Training courses.

Introduction to Big Data

Course code: CEPS 1119EO - Duration: 3 hours

Type: Workshop

ENTPR:Business & Entrepreneurship;DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* When properly combined and implemented, Big Data and AI Technologies can generate new business opportunities, reduce costs and/or increase efficiencies. In their own specific ways, they each brought to the world news ways of making business decisions and thinking outside the box. A good understanding of these technologies is necessary to start your innovation initiatives. If you would like to get an efficient and pragmatic overview of how Big Data and AI Technologies can benefit your organization, for both technical and business professionals, don’t wait any longer and join Adrian Gonzalez Sanchez in this online workshop. *CNT* This training will enable you to: • Learn the fundamentals of Big Data technologies; • Understand the state-of-the-art AI techniques and ecosystem in Montreal; • Discuss the best available tools, for different data activities such as analysis, integration, storage, AI, etc.; • Explore how Big Data and AI work together, in addition to specific industry cases for different industries. *APP* This business-oriented workshop is based on fundamental theories and industry case studies taken from large data-driven companies. In short, you’ll learn by reading, thinking and doing. Case readings and AV material are drawn from current topics and recent news/events. In order to maximize engagement and knowledge transfer during our online workshops, it is highly recommended that participants keep their cameras on. *WHO* If your area of expertise is on the following list, you could benefit greatly from this workshop: • Data-oriented professionals; • Consultants; • Data strategists; • Business analysts; • Business professionals in technology-oriented projects; • IT professionals; • Students; • Employers who want to give their employees a great learning opportunity that will contribute to the success of their organization. All workshops can be customized for corporate groups. They can be offered on the date of your choosing, remotely, in your office or in one of our campuses. *ADD* 1) Registration fee includes electronic course materials. 2) In the event we don’t have enough participants, the workshop will be cancelled and you will, of course, be reimbursed in full 3) This workshop meets the requirements for the 1% Conformity Law (in accordance with the Workforce Skills Development and Recognition Act). 4) If you wish to pay for this workshop via invoice, please write directly to cce@concordia.ca and our service staff will assist you. *TR* [IMAGE_C:/content/dam/cce/images/trainers/Adrian_Gonzalez_Sanchez_photo.jpg|Adrian Gonzales Sanchez] Adrian Gonzalez Sanchez, M.Sc. (Mobile Communications), M.B.A. | Telematics Engineer, Senior Consultant on Artificial Intelligence and Blockchain Technology, Certified Scrum Product Owner® (CSPO) Adrian Gonzalez Sanchez is a Senior Cloud, Data & AI Specialist at Microsoft, as well as the industry lead at the Spanish Observatory of Ethical AI (OdiseIA). He was a senior consultant and product owner in AI and data science with CGI Canada and IVADO Labs, head of customer success for Peritus.ai Canada, and has been a consultant to other data-driven companies in Europe and Latin America. Adrian has a wealth of hands-on experience in the fields of artificial intelligence, ethics and responsible AI, big data and cloud-enabled systems, data-driven corporate strategy, national AI strategies and regulations, telecommunications, and the Internet of Things. He is a frequent university lecturer and collaborates with 2U / GetSmarter as a tutor and learning facilitator for MIT Sloan's AI and Blockchain and Harvard VPAL's Fintech Executive Training courses.

Machine Learning

Course code: CEBD 1260 - Duration: 30 hours

Type: Course

DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* Get ready to delve into the core concepts and implementation of Machine Learning. What does that mean exactly? Well, based on practical examples from well-known systems like Netflix, YouTube or Twitter, your instructor will describe some fascinating Big Data problems, introduce the standard algorithms used to address them, and present libraries used to implement those algorithms. You'll cover topics like mining of frequent item sets, clustering, stream analysis, similarity search, machine learning and recommendation systems. Knowledge in Excel, SQL, Python and/or R and statistics and probability are crucial for you to be successful in this course. If you do not have knowledge in these areas, we strongly recommend that you take Intro to data Analysis with Excel (CEBD 1300), Intro to SQL (CEWP 215), Intro to R (CEBD 1200) and/or Intro to Python (CEBD 1100). Note that you will be required to do 5-10 hours of work per week outside of class time. Those with little to no prior knowledge will require more time to gain familiarity with the concepts. *CNT* This course is a great way to help you: • Understand the broad classes of methods used to address big data challenges; • Learn the main algorithms to implement those methods; • Apply those algorithms on realistic problems using existing software libraries. *APP* This course employs student-centered learning that's focused on the acquisition of practical, real-world skills and not just theory. You'll get close, personalized instruction from an industry pro. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom). *WHO* • Students who completed CEBD 1160 and want to continue their studies. • Individuals who want to improve the performance of their organization by better harnessing Big Data. • Professionals who want to leverage data for better decision-making. • Entrepreneurs with projects that could benefit from data analytics. • Students in fields like geography, biology, psychology, humanities or any other field with big data. • IT professionals who want to transition to Big Data from more traditional sectors.

Making Sense of Blockchain Technology

Course code: CEPS 1102EO - Duration: 3 hours

Type: Workshop

DSAI:Data Science & Artificial Intelligence;TDATA:Technology, Data & Digital Skills *VID* *KEYB* If you’ve seen the explainers, but you still can’t wrap your head around blockchain technology, don’t worry. It’s a hard subject to master. But this one-day workshop with industry pro Adrian Gonzalez Sanchez will make it all seem a lot easier. In it, you’ll learn the fundamentals, implications and opportunities related to blockchain technologies in business applications. You’ll also gain a pragmatic overview that will help you understand and define the potential of blockchain tech in your own area of expertise. Unblock the secrets of blockchains by registering for this fascinating workshop today. *CNT* This training will enable you to: • Analyze blockchain technology fundamentals and differences; • Apply blockchain technologies to various business scenarios; • Integrate blockchain as part of your business strategy; • Predict the hard (ROI) and soft benefits of blockchain for business; • Identify the most important blockchains and their regulatory status. *APP* This online workshop is based on co-active coaching, conscious leadership, team performance coaching and case studies. In short, you’ll grow professionally by mastering your ability to learn, work and be productive remotely. In order to maximize engagement and knowledge transfer during our online workshops, it is highly recommended that participants keep their cameras on. *WHO* • Almost anyone could benefit greatly from this workshop: C-Suite executives, IT directors, managers, consultants, business developers, business professionals, product owners, project managers, entrepreneurs, technology lovers, students, etc; • Employers who want to give their employees a great learning opportunity that will contribute to the success of their organization. All workshops can be customized for corporate groups. They can be offered on the date of your choosing, in your office or in one of our campuses. *ADD* 1) Registration fee includes electronic course materials. 2) In the event we don’t have enough participants, the workshop will be cancelled and you will, of course, be reimbursed in full 3) This workshop meets the requirements for the 1% Conformity Law (in accordance with the Workforce Skills Development and Recognition Act) 4) If you wish to pay for this workshop via invoice, please write directly to cce@concordia.ca and our service staff will assist you. *TR* [IMAGE_C:/content/dam/cce/images/trainers/Adrian_Gonzalez_Sanchez_photo.jpg|Adrian Gonzales Sanchez] Adrian Gonzalez Sanchez, M.Sc. (Mobile Communications), M.B.A. | Telematics Engineer, Senior Consultant on Artificial Intelligence and Blockchain Technology, Certified Scrum Product Owner® (CSPO) Adrian Gonzalez Sanchez is a Senior Cloud, Data & AI Specialist at Microsoft, as well as the industry lead at the Spanish Observatory of Ethical AI (OdiseIA). He was a senior consultant and product owner in AI and data science with CGI Canada and IVADO Labs, head of customer success for Peritus.ai Canada, and has been a consultant to other data-driven companies in Europe and Latin America. Adrian has a wealth of hands-on experience in the fields of artificial intelligence, ethics and responsible AI, big data and cloud-enabled systems, data-driven corporate strategy, national AI strategies and regulations, telecommunications, and the Internet of Things. He is a frequent university lecturer and collaborates with 2U / GetSmarter as a tutor and learning facilitator for MIT Sloan's AI and Blockchain and Harvard VPAL's Fintech Executive Training courses.