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Certificate in AI Proficiency


Artificial Intelligence Certification

You're likely interacting with Artificial Intelligence (AI) on a daily basis. In a world evolving around new AI technologies, it will become more and more imperative to learn how it works and how it is being applied into our lives and workplaces, whether we have technical expertise or not.

This four-course program is designed to provide a practical understanding of AI and help students develop critical skills in AI literacy. The project-based program will teach you how to use AI to solve common problems through case studies, detailed roadmaps, end-to-end machine learning, and no-code software.

Through a curriculum designed by knowledgeable instructors currently working in the fields related to AI, you will learn skills that will likely bolster your CV and help you stand out in the job market.

Note that this is an online, synchronous program.

Missed our information session? Check it out:

Your takeaways

This certificate will help you: 

  • Assess the current AI landscape;
  • Identify methods for problem-solving using AI;
  • Evaluate the strengths and limitations of AI solutions;
  • Create a roadmap to develop more responsible AI solutions;
  • Address ethical issues that arise in AI projects;
  • Assess data quality for AI projects;
  • Determine data requirements for AI projects;
  • Develop a simple end-to-end AI project using no-code software.

Program courses

To obtain this certificate, students must complete the four courses below. For course descriptions, schedules and registration, click on the links of each course.

Important details

To get the most out of this program, we recommend taking the AI Foundations (CEAI 1001) and Responsible AI (CEAI 1002) courses before taking the Understanding AI Data (CEAI 1003) and Working with AI (CEAI 1004) courses.

Our approach

This fully online program 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 theory by actively participating in assignments aimed at using AI for problem-solving.

Who benefits most?

  • 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.

Advisory Committee

Prasad Garigipati

Prasad Garigipati

Head of Ericsson Global AI Accelerator - AI Hub Canada and Head of Montreal Site
Gabriel De Lisi

Gabriel De Lisi

Senior Manager of Artificial Intelligence and Data Science, Deloitte
Phil Mitsopoulos

Phil Mitsopoulos

Head of Partnerships at Agnostiq
Hugo Naneix

Hugo Naneix

IT Consultant
Iulian Serban

Iulian Serban

Founder and CEO of Korbit Technologies
Tamara Vandersluis

Tamara Vandersluis

VP of Innovation,

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