- Chapter 1 Introduction
- Introduce Yourself
- The Syllabus Quiz
- Lesson 1: What is AI?
- Lesson 2: Understanding Data
- Lesson 3: Play with Teachable Machine
- Chapter 1 Graded Quiz 1
- Lesson 4: Applications of AI - Computer Vision
- Lesson 5: Online Driving Game
- Chapter 1 Lesson 5: Graded Discussion
- Lesson 6: From Data to Training
- Lesson 7: Play Tic Tac Toe
- Chapter 1 Lesson 7: Graded Discussion
- Lesson 8: Other AI Applications
- Lesson 9: Recap of Chapter 1
- Chapter 1 Graded Quiz 2
Beginner
Online
4 Weeks
Free
Quick facts
particular | details | ||
---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Learning efforts
2-3 Hours Per Week
|
Course and certificate fees
Type of course
certificate availability
certificate providing authority
certificate fees
The syllabus
Chapter 1: Introduction to AI
Chapter 2: How Machines Learn
- Chapter 2: Introduction
- Lesson 1: Recap of Chapter 1
- Lesson 2: How Neurons Work
- Lesson 3: What is Machine Learning
- Lesson 4: About Neurons
- Chapter 2 Graded Quiz 1
- Lesson 5: What is Deep Learning?
- Lesson 6: Deep Learning for Computer Vision
- Chapter 2 Lesson 6: Graded Discussion
- Lesson 7: Reevaluating the Teachable Machine
- Chapter 2 Lesson 7: Graded Discussion
- Lesson 8: Recap of Chapter 2
- Chapter 2 Graded Quiz 2
- Chapter 2 Technical Assessment
Chapter 3: Ethics and Bias in AI
- Chapter 3: Introduction
- Lesson 1: Recap of Chapter 1 and 2
- Lesson 2: Understanding Bad Data
- Lesson 3: Teachable Machine with Bad Data
- Chapter 3 Lesson 3: Graded Discussion
- Lesson 4: Bias Busting Tools
- Lesson 5: AI Ethics and Bias: More than Data
- Lesson 6: Responsible AI Guidelines
- Chapter 3 Lesson 6: Graded Discussion
- Lesson 7: Watch the TF Community Day
- Chapter 3 Lesson 7: Graded Discussion
- Lesson 8: Principles and Tools for Responsible AI
- Lesson 9: Course Conclusion
- Chapter 3 Graded Quiz 1
- Chapter 3 Technical Assessment
Instructors
Mr Laurence Moroney
Lead AI Advocate
Google
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