Free Learning Resources
Artificial Intelligence (AI) Fundamentals Micro-Course Series
Explore the Artificial Intelligence Fundamentals micro-course series. Free Learning developed in partnership by eCampusOntario and Durham College to help Canadians build confidence with AI and strengthen digital literacy skills.
Module 1: What is AI: The "Black Box" Opened
This introductory module explains what AI really is in simple, practical terms—how it works, how it differs from traditional software, and why it's rapidly spreading across industries—so learners can confidently separate genuine capability from hype.
Module 2: AI Types: The Two Brains
This module demystifies predictive and generative AI by explaining what each does, where they're used, and why organizations choose them, using clear real-world examples to show how AI supports forecasting, automation, content creation, and decision-making without requiring any technical background.
Module 3: AI Across Industries
This module shows how AI is already transforming everyday work across industries—from healthcare to construction—using practical examples to help you recognize where AI is shaping your role today, where it's likely to impact your organization next, and how to use it effectively.
Module 4: Introduction to AI Tools
This module offers a hands-on introduction to everyday AI tools—teaching you how to prompt effectively, understand their strengths and limitations, and use them thoughtfully to support productivity, problem-solving, and decision-making without needing any technical background.
Module 5: Safe and Responsible AI Use
This module teaches you how to use AI responsibly by understanding where it can fail—covering data quality issues, bias, inaccuracies, and red flag warning signs—so you can apply AI effectively while keeping human judgment at the center.
Module 6: Data Fundamentals - Privacy, Security and Sovereignty
This module builds your awareness of data-related risks in AI by explaining how privacy, security, and ownership issues arise—and using practical scenarios to show how to spot sensitive data exposure, apply good data-handling habits, and make safer decisions when using AI tools at work.
Module 7: AI and Intellectual Property
This module explains how ownership, copyright, and accountability apply to AI-generated content—clarifying how current rules treat AI outputs, what responsibilities remain with people and organizations, and what to consider when using AI in workplace or business contexts so you can make informed, practical decisions about ownership and appropriate use.
Search the Skills for Jobs catalogue for other courses on Artificial Intelligence
BROWSEAdditional Digital Learning Resources
Find Free Learning support resources that help with learning strategies, digital confidence, study skills, and well-being—developed for lifelong learners and fully accessible online.
Learning to Learn Online
Learning to Learn Online was created by students to help you make the leap from classroom setting to an online environment. You will explore a total of six unique chapters that will help you successfully prepare for online learning.
