Responsible AI and AI Governance

About this course

Many AI applications are rapidly going from pilot stage to production. Consumers are beginning to touch, feel and see AI systems in their daily lives.

On a parallel track, we are seeing a lot of push towards designing AI systems safely and responsibly. Many AI experts, business leaders and academicians have pointed out the dangers of unrestricted AI. Hence, the urgent need of the hour is to design Responsible AI systems that will not cause harm. And we need to enforce all of these using AI Governance.

This is a beginner friendly course. It has no coding requirements or no prerequisites. However, a basic understanding of AI and Generative AI will be helpful. Topics

What is Responsible AI?-- What could go wrong? Why do we need this?

What is AI Governance?

Questions to ask before beginning an AI Project-- What do we need to do in BEFORE starting an AI project to make sure it is designed responsibly?-- What are the business benefits we get from implementing Responsible AI and the risks if we don't?

General concepts in AI / ML and Generative AI we need to understand for designing AI systems responsibly

The key dimensions of responsible AI and the difficult tradeoffs we need to make during design

What are some AWS Services that we can use for Responsible AI and AI Governance?

What the compliance frameworks we need to know about?

What are the key strategies and best practices we need to keep in mind?

What certifications can we pursue in this area?

Practice Quizzes at the end of each topic

Two final practice tests

Over 130 practice questions (across quizzes and tests) that will help you in getting certified

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