Skills4Good AI Academy

Intro to AI & Machine Learning

Learn the key concepts in Artificial Intelligence & Machine Learning

Intro to AI & Machine Learning

Intro to AI & Machine Learning

Course 1 of 3 - Skills4Good Responsible AI Program

Led by the renowned AI expert Prof. Graham Taylor, Ph.D., P.Eng., this course delivers the following key learning outcomes:

  • Core AI & ChatGPT: A deep dive into core AI & ML concepts, spotlighting ChatGPT’s potential and challenges
  • Real-World Insights: Business-centric insights linking AI and ML principles to real-world contexts
  • Interactive Quizzes: Engaging quizzes that reinforce understanding, tailored for all tech backgrounds

Course Outline

Course 1 of 3

Grasp foundational AI and Machine Learning (ML) principles and explore ChatGPT’s potential and challenges as they relate to Responsible AI. Seamlessly connect the principles of AI and ML to real-world business scenarios, ensuring practical insights.

  • Lesson 1: Introduction to Artificial Intelligence (Free Preview)
  • Lesson 2: What is Machine Learning?
  • Lesson 3: Components of Machine Learning System
  • Lesson 4: Traditional Software vs Machine Learning
  • Lesson 5: Machine Learning Tasks
  • Lesson 6: The Machine Learning Experience
  • Lesson 7: Training, Optimization and Generalization
  • Lesson 8: Underfitting, Overfitting and Regularization
  • Lesson 9: Self-Regulation and Machine Learning as a Dual-Use Technology
  • Lesson 10: Recap of AI Principles & Explainable AI

Meet Your Instructor

Prof. Graham Taylor, PhD, P.Eng.

Prof. Graham Taylor, PhD, P.Eng.

Canada CIFAR AI Chair

Graham is a Canada CIFAR AI Chair and Associate Professor of Engineering at the University of Guelph. He co-directs the University of Guelph Centre for Advancing Responsible and Ethical AI (CARE-AI) and is a member of the Vector Institute for AI. He has co-organized the annual CIFAR Deep Learning Summer School and trained more than 70 students and researchers on AI-related projects. In 2016, he was named as one of 18 inaugural CIFAR Azrieli Global Scholars. In 2018, he was honoured as one of Canada's Top 40 under 40. In 2019, he was named a Canada CIFAR AI Chair. He spent 2018-2019 as a Visiting Faculty member at Google Brain, Montreal. Graham co-founded Kindred, which was featured at number 29 on MIT Technology Review's 2017 list of smartest companies in the world. He is the Academic Director of NextAI, a non-profit accelerator for AI-focused entrepreneurs.

Frequently Asked Questions

Who is the Responsible AI Program designed for?

It was created for professionals who currently use big data and AI systems in their daily work, or will do so in the near future. The Program covers the technical, ethical, legal and societal impacts of AI development. This program provides a foundational understanding as to what constitutes Responsible AI including baseline awareness of risks and limitations associated with AI systems. It will enable individuals to operationalize ethical AI considerations in their daily work. This Program does not require an individual to have a computer science or technical background in order to take the courses.

Can I buy the courses individually?

Yes, you may buy an individual course if you wish to focus exclusively on a specific topic. However, we highly recommend that you purchase the 3 courses comprising the Responsible AI Program if you wish to acquire a rich, multi-disciplinary perspective of Responsible AI’s various facets. In this way, you will learn how AI uniquely impacts society from the viewpoints of technology, philosophy, ethics and law.

When will I have access to the course?

Once you enroll in the course, you’ll have immediate access.

How much time do I need?

The Responsible AI Program is comprised of 3 self-guided online courses that you can take at your own pace anytime and anywhere.

We designed the lessons in short segments so that you can take each program module in ten minutes or less. It will take about 3.5 hours to complete the Program. Each course will take about 1 to 1.5 hours to complete.

How long can I access the course?

You can access the course for 6 months from the date of your enrolment in the course. If you do not earn your course completion certificate within 6 months, your registration will expire, and you will need to pay to re-enroll for the course.

What is the refund or cancellation policy?

You can request a full refund or cancellation up to 7 calendar days after confirmation of your paid enrolment, provided you have not started any lesson in the course or Program.

After 7 days, if you have already started a lesson, you will not be entitled to any refund or cancellation from Skills4Good.

What is your copyright policy?

You can review our copyright policy through this link:

Do I receive a certificate of completion?

Yes. After you complete the course, you will automatically receive a Certificate of Completion.

Customers & Partners

Transforming Organizations
From Compliance to Tech4Good

We’re Here To Help!

2500, 120 Adelaide St. West
Toronto, ON M5H 1T1 Canada
+1 866 503 3320

Stay Ahead, Stress-Free!

Get the latest on what you need to navigate the digital world. Subscribe to our newsletter. Opt-out anytime.

  • My Image
  • Mississauga Board of Trade
  • My Image
  • My Image
WBE Canada Logo

Skills4Good AI is proud to be certified as a Women Business Enterprise by the Women Business Enterprises Canada Council (WBE Canada).