Introduction to AI & Machine Learning

Skills4Good Responsible AI Program

In this course, you will learn about key concepts in Artificial Intelligence and Machine Learning. There is much excitement about the tech, but there are also many questions on the long-term effects of AI in our economy, environment and society. In this course, we will demystify the tech, but do so through the lens of building and deploying AI systems responsibly. We will start by understanding what AI really is and then discuss what responsibility means in the AI context.

Course Outline

Course 1 of 3

  • 1

    Introduction to AI & Machine Learning

    • Module 1: Introduction to Artificial Intelligence

    • Module 2: What is Machine Learning?

    • Module 3: Components of Machine Learning System

    • Module 4: Traditional Software vs Machine Learning

    • Module 5: Machine Learning Tasks

    • Module 6: The Machine Learning Experience

    • Module 7: Training, Optimization and Generalization

    • Module 8: Underfitting, Overfitting and Regularization

    • Module 9: Self-regulation and Machine Learning as a Dual-use Technology

    • Module 10: Recap of AI Course & Explainable AI

    • Final Quiz

    • Course Completion Survey

Meet Your Instructor

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.

FAQ

  • 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 enrol in the course, you’ll have immediate access to the course.

  • 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 180 days from the date of your enrolment in the course. If you do not earn your course completion certificate within 180 days, your registration will expire and you will need to pay to re-enrol 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: https://skills4good.com/copyright/

  • Do I receive a certificate of completion?

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