AI, Cybersecurity & Programming

Data fuels change. Get driving.

Programs

AI Proficiency

Big Data Business Analytics

Data Science for Digital Marketing Analytics

Data Science Programming

Data Science

Full-Stack Web Development

PHP Development

JavaScript Development

Java Development

Cybersecurity Proficiency

Courses and workshops

Title

Start date

Type

Delivery mode

Development and Programming Basics

Course code: CEWP 210 - Duration: 30 hours

Start date: June 18, 2024

Online

Course code: CEWP 215 - Duration: 30 hours

Start date: June 20, 2024

Online

Course code: CEWP 215 - Duration: 30 hours

Start date: September 16, 2024

Online

JavaScript Microservices – NodeJS and MySQL

Course code: CEWD 430 - Duration: 30 hours

Start date: September 16, 2024

Online

Course code: CEAI 1001 - Duration: 30 hours

Start date: September 17, 2024

Online

*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

Cybersecurity Threats and Vulnerabilities

Course code: CECR 2001 - Duration: 30 hours

Start date: September 17, 2024

Online

Development and Programming Basics

Course code: CEWP 210 - Duration: 30 hours

Start date: September 17, 2024

Online

Intro to Big Data Business Cases

Course code: CEBD 1150 - Duration: 30 hours

Start date: September 17, 2024

Online

*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. Your Instructor Martin Berezaga, MBA, Commercial Management Director at Southpad Big Data Instructor at Concordia Continuing Education https://www.linkedin.com/in/martin-berezaga/ martin.berezaga@concordia.ca cce@concordia.ca

Intro to Programming with JavaScript

Course code: CEWD 432 - Duration: 40 hours

Start date: September 17, 2024

Online

Intro to Python

Course code: CEBD 1100 - Duration: 30 hours

Start date: September 17, 2024

Online

HTML5, CSS and Bootstrap

Course code: CEWP 329 - Duration: 40 hours

Start date: September 18, 2024

Online

Intro to Programming with Java 1

Course code: CEJV 416A - Duration: 30 hours

Start date: September 18, 2024

Online

*VID* *KEYB* Great, you’ve had your intro to development and programming. Now it’s time to focus on something really exciting, like Java. Here you’ll be introduced to the fundamentals of procedural programming, with a short introduction to object-oriented coding. You’ll learn some key programming structures like data types, operators, branching and looping structures, user-defined methods, and basic data structures. You also have a chance to design and develop classes that use OOP features like encapsulation while gaining skills in GUI programming using the JavaFX platform. Once you’ve completed this course, you’ll be able to design, code, and test procedural and object-oriented programs. You’ll also be ready for the next step in your Java journey. *CNT* This course is a great way to help you: • Create interactive console programs using Java; • Use the command-line to package and run Java classes; • Use the Intelli-J IDE to develop and run your code; • Use the debugging facility to help develop software; • Create embedded documentation within your Java code; • Implement basic algorithms and data structures. *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 development. • Anyone who wants to take the first step towards a career as a Java 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 programming code. • Programmers who want to learn a new language to open new career horizons.

Machine Learning

Course code: CEBD 1260 - Duration: 30 hours

Start date: September 18, 2024

Online

*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.

Big Data Analytics for Business

Course code: CEBD 1151 - Duration: 30 hours

Start date: September 19, 2024

Online

*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.

Front-end JavaScript Development with React

Course code: CEWD 431 - Duration: 30 hours

Start date: September 19, 2024

Online

PHP Programming with MySQL I

Course code: CEWP 459 - Duration: 40 hours

Start date: September 19, 2024

Online

Course code: CEAI 1002 - Duration: 30 hours

Start date: September 19, 2024

Online

*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

Cybersecurity Awareness for Business and Employees

Course code: CECR 2002 - Duration: 30 hours

Start date: October 22, 2024

Online

*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.

Course code: CEWP 215 - Duration: 30 hours

Start date: January 13, 2025

Online

JavaScript Microservices – NodeJS and MySQL

Course code: CEWD 430 - Duration: 30 hours

Start date: January 13, 2025

Online

Big Data Visualization and Storytelling

Course code: CEBD 1251 - Duration: 30 hours

Start date: January 14, 2025

Online

*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.

Cybersecurity Solutions

Course code: CECR 2003 - Duration: 30 hours

Start date: January 14, 2025

Online

HTML5, CSS and Bootstrap

Course code: CEWP 329 - Duration: 40 hours

Start date: January 14, 2025

Online

Java Web Services and Databases

Course code: CEJV 670 - Duration: 40 hours

Start date: January 14, 2025

Online

Understanding AI Data

Course code: CEAI 1003 - Duration: 30 hours

Start date: January 14, 2025

Online

*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

Development and Programming Basics

Course code: CEWP 210 - Duration: 30 hours

Start date: January 15, 2025

Online

Intro to Programming with Java 1

Course code: CEJV 416A - Duration: 30 hours

Start date: January 15, 2025

Online

*VID* *KEYB* Great, you’ve had your intro to development and programming. Now it’s time to focus on something really exciting, like Java. Here you’ll be introduced to the fundamentals of procedural programming, with a short introduction to object-oriented coding. You’ll learn some key programming structures like data types, operators, branching and looping structures, user-defined methods, and basic data structures. You also have a chance to design and develop classes that use OOP features like encapsulation while gaining skills in GUI programming using the JavaFX platform. Once you’ve completed this course, you’ll be able to design, code, and test procedural and object-oriented programs. You’ll also be ready for the next step in your Java journey. *CNT* This course is a great way to help you: • Create interactive console programs using Java; • Use the command-line to package and run Java classes; • Use the Intelli-J IDE to develop and run your code; • Use the debugging facility to help develop software; • Create embedded documentation within your Java code; • Implement basic algorithms and data structures. *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 development. • Anyone who wants to take the first step towards a career as a Java 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 programming code. • Programmers who want to learn a new language to open new career horizons.

Intro to Programming with JavaScript

Course code: CEWD 432 - Duration: 40 hours

Start date: January 15, 2025

Online

Intro to Python

Course code: CEBD 1100 - Duration: 30 hours

Start date: January 15, 2025

Online

Front-end JavaScript Development with React

Course code: CEWD 431 - Duration: 30 hours

Start date: January 16, 2025

Online

Intro to Data Analysis with Excel

Course code: CEBD 1300 - Duration: 30 hours

Start date: January 16, 2025

Online

*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

Intro to Programming with Java 2

Course code: CEJV 416B - Duration: 30 hours

Start date: January 16, 2025

Online

PHP Programming with MySQL I

Course code: CEWP 459 - Duration: 40 hours

Start date: January 16, 2025

Online

PHP Programming with MySQL II

Course code: CEWP 559 - Duration: 40 hours

Start date: January 16, 2025

Online

*VID* *KEYB* This is the second of two MySQL courses leading to your well-deserved diploma in PHP development. Excited? You should be, because this time, you’re going to learn advanced topics in web development using PHP7 and MySQL, bringing you up to speed on the latest technologies and architectures in software development. Once you’ve successfully completed this course, you'll have mastered the skills you need to create secure e-commerce web applications using PHP and MySQL. There’s no stopping you now! *CNT* This course is a great way to help you: • Develop web applications using the MVC design pattern; • Integrate unit-testing scripts into your application and understand test code-coverage; • Implement and use web services and Web-APIs; • Encode and decode using the JSON format to relay messages across your applications; • Integrate security into a web app (authentication, authorisation, accounting); • Use SSL certificates to enable HTTPS in your websites; • Leverage more advanced regular expressions to validate user input; • Send and validate e-mail; • Use third-party tools including Captcha, Swagger, PHPUnit; • Conceive a fully functional e-commerce application. *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 in PHP development. • Anyone who wants to take the first step towards a career as a 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.

Programming for Data Analytics

Course code: CEBD 1160 - Duration: 30 hours

Start date: January 16, 2025

Online

*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.

Working with AI

Course code: CEAI 1004 - Duration: 30 hours

Start date: January 16, 2025

Online

*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

Big Data Infrastructure

Course code: CEBD 1261 - Duration: 30 hours

Start date: March 31, 2025

Online

*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 31, 2025

Online

Intro to Data Analysis with Excel

Course code: CEBD 1300 - Duration: 30 hours

Start date: March 31, 2025

Online

*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

Intro to Big Data Business Cases

Course code: CEBD 1150 - Duration: 30 hours

Start date: April 1, 2025

Online

*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. Your Instructor Martin Berezaga, MBA, Commercial Management Director at Southpad Big Data Instructor at Concordia Continuing Education https://www.linkedin.com/in/martin-berezaga/ martin.berezaga@concordia.ca cce@concordia.ca

Course code: CEWP 215 - Duration: 30 hours

Start date: April 1, 2025

Online

Java Web Services and Databases

Course code: CEJV 670 - Duration: 40 hours

Start date: April 1, 2025

Online

Course code: CEBD 1200 - Duration: 30 hours

Start date: April 2, 2025

Online

*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

Development and Programming Basics

Course code: CEWP 210 - Duration: 30 hours

Start date: April 3, 2025

Online

Intro to Programming with Java 2

Course code: CEJV 416B - Duration: 30 hours

Start date: April 3, 2025

Online

Intro to Python

Course code: CEBD 1100 - Duration: 30 hours

Start date: April 3, 2025

Online

PHP Programming with MySQL II

Course code: CEWP 559 - Duration: 40 hours

Start date: April 3, 2025

Online

*VID* *KEYB* This is the second of two MySQL courses leading to your well-deserved diploma in PHP development. Excited? You should be, because this time, you’re going to learn advanced topics in web development using PHP7 and MySQL, bringing you up to speed on the latest technologies and architectures in software development. Once you’ve successfully completed this course, you'll have mastered the skills you need to create secure e-commerce web applications using PHP and MySQL. There’s no stopping you now! *CNT* This course is a great way to help you: • Develop web applications using the MVC design pattern; • Integrate unit-testing scripts into your application and understand test code-coverage; • Implement and use web services and Web-APIs; • Encode and decode using the JSON format to relay messages across your applications; • Integrate security into a web app (authentication, authorisation, accounting); • Use SSL certificates to enable HTTPS in your websites; • Leverage more advanced regular expressions to validate user input; • Send and validate e-mail; • Use third-party tools including Captcha, Swagger, PHPUnit; • Conceive a fully functional e-commerce application. *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 in PHP development. • Anyone who wants to take the first step towards a career as a 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.

Development and Programming Basics

Course code: CEWP 210 - Duration: 30 hours

Start date: June 18, 2025

Online

Course code: CEWP 215 - Duration: 30 hours

Start date: June 19, 2025

Online

A Hands-On Dive into Cyber Resilience

Course code: CEPS 1500EO - Duration: 6 hours

*VID* *KEYB* Concordia Continuing Education is rapidly becoming a leader in the field of cyber resilience. And you can become one, too! In this professional-level workshop led by industry expert Paul Berthier, you’ll be engaging the cyber enemy in the field. You’ll learn through role-playing on a Cyber Range platform and will be trained to defend your company against the top 3 cyber-attack scenarios—Phishing, Ransomware and BYOD/loT perimeter breaches—by carefully following step-by-step Incident Response Playbooks. If you’re looking for a fast, credible way to up your cyber resilience game, this is it. *CNT* This workshop will empower you to: • Understand the impact each of the 3 cyber-resilience scenarios has on businesses; • Implement a plan to minimize the probability and the impact of those cyber attacks; • Properly execute strategies/steps from the Response Playbook when under cyber attack. *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* • IT professionals working as cyber first-responders who are interested in increasing their cyber-resilience knowledge and skills. • Professionals with an IT background interested in a reconversion to cyber resilience. We're flexible. That means workshops can be customized for corporate groups and offered on the date of your choosing, in your office or in one of our campus locations. *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/Paul_Berthier.jpg.jpg|Paul Berthier] Paul Berthier, Paul Berthier is a cybersecurity advisor for Rhea Group Canada, specializing in the security of critical infrastructures and responsible for Cyber Range training across Canada. Following his telecom studies in Paris, Paul moved on to a Master’s degree at École Polytechnique Montreal, where he developed a secure version of ADS-B, a protocol used by aircraft to broadcast their position. Later, he spent two years as a research associate in the cybersecurity lab, where he led a research group focused on the security of aviation and Air Traffic Management (ATM). He regularly leads workshops and provides in-depth training in cyber security and resilience.

Adapting Your Business to Be AI Ready

Course code: CEPS 1094EO - Duration: 3 hours

*VID* *KEYB* It's called artificial intelligence but it requires a very real understanding of its application and impact on business and industry. That's where you come in. Upon completion of this intensive one-day workshop with industry expert Sydney Swaine-Simon, you'll understand how AI affects everything from hiring and wages to policy-making and ethics. You'll also have the knowledge and tools to analyze various AI technologies and solutions, determine their viability and usefulness and properly integrate them into your own business or industry. Ready to get real about AI? This is the workshop for you! *CNT* This workshop will empower you to: • Identify the key areas where AI has a direct impact in your area of business/industry; • Learn how AI will impact government and industry policies and regulations; • Recognize and anticipate the short- and long-term problems created by AI-enabled automation; • Improve your ability to provide potential solutions to problems incurred through the application of AI; • Conduct long-term planning to enhance the integration of AI into your business/industry. *APP* This workshop is based on an optimized practical approach that mixes active learning and theory with real-world and hypothetical scenarios enhanced by applied learning in AI-enabled automation. In short, you’ll learn by doing and sharing. In order to maximize engagement and knowledge transfer during our online workshops, it is highly recommended that participants keep their cameras on. *WHO* • • Senior executives, managers, project leaders, employers and others interested in the impact of AI on a particular field of business or industry. • Anyone who wants to gain a deeper understanding of the impact on AI in the working world. • Employers who want to give their employees a great learning opportunity that will contribute to the success of their organization. We're flexible. That means workshops can be customized for corporate groups and offered on the date of your choosing, in your office or in one of our campus locations. *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/Sydney_Swaine_Simon.PNG|Sydney Swaine-Simon] Sydney Swaine-Simon B.Sc., Computer Science; B Sc. Psychology Having completed his studies in psychology, business and computer science, Sydney developed a strong passion for emerging technology, entrepreneurship, innovation and artificial intelligence. In 2012, Sydney became one of the co-founders of District 3, one of Quebec’s largest innovation and entrepreneurship centers, and has played an active role ever since. His recent responsibilities include managing a program to help Montreal teams participating in the AI XPRIZE, an international competition that asks teams to solve Grand Challenges using Artificial Intelligence. Sydney also co-founded NeuroTechX, a non-profit organization responsible for building the largest international network of neuro-technology enthusiasts.

AI Implementation Strategies

Course code: CEPS 1126EO - Duration: 3 hours

*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.

Creating Value with Machine Learning

Course code: CEPS 1114EO - Duration: 3 hours

*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.

Exploring Data Integration and ETL

Course code: CEPS 1111EO - Duration: 3 hours

*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

*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

*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

*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.

Making Sense of Blockchain Technology

Course code: CEPS 1102EO - Duration: 3 hours

*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.

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