Full course description
This course provides an introduction to Artificial Intelligence (AI), covering its foundational concepts, generative AI applications, the societal impacts, and how to thrive in the age of AI. The six-module structure ensures a well-rounded learning experience:
- Introduction to AI
- Machine Learning and Deep Learning
- Core Skills for Thriving in the Age of AI
- Data Science and Data Mining
- Societal and Ethical Impacts of AI
- The Future of AI
You can start whenever you want and learn at your own pace.
It is Free
The first edition of the course was developed in 2020/2021 and made possible with funding from the Government of Ontario and through eCampusOntario’s support of the Virtual Learning Strategy (VLS). With the rise of Generative AI, this updated version now reflects the latest advancements in AI and Gen AI. The course development team is:
Project leads: Ellen James and Dr. Qusay H. Mahmoud
Ontario Tech University: Nick Varas, Mashaal Jawad, Aaron Emmanuel, Aayush Bajaj, Hemshikha Sultoo, Zahraa Bassyouni, Laura Thursby, and Jacky Chuk Han Lee.
University of Guelph: Dylan White, Cody Moore, Jean Hein and Care.AI Team
Ryerson University: Minakshi Suri, Abdullah Arif, Karissa Chan
Ontario Tech participants please use a personal email address (not @ontariotechu) and login as an EXTERNAL LOGIN to avoid issues with Canvas. Once you select External Login please create a username and password. This will grant you access to the course.