Free

Intro to Artificial Intelligence

Course

This course will introduce you to the basics of AI. Topics include machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

Intermediate

Last Updated March 7, 2022

Prerequisites:

No experience required

Course Lessons

Lesson 1

1. Welcome to AI

Lesson 2

2. Problem Solving

Lesson 3

Problem Set 1

Lesson 4

3. Probability in AI

Lesson 5

4. Probabilistic Inference

Lesson 6

Problem Set 2

Lesson 7

5. Machine Learning

Lesson 8

6. Unsupervised Learning

Lesson 9

Problem Set 3

Lesson 10

7. Representation with Logic

Lesson 11

8. Planning

Lesson 12

Problem Set 4

Lesson 13

9. Planning under Uncertainty

Lesson 14

10. Reinforcement Learning

Lesson 15

Problem Set 5

Lesson 16

11. HMMs and Filters

Lesson 17

12. MDP Review

Lesson 18

Midterm Exam

Lesson 19

13. Games

Lesson 20

14. Game Theory

Lesson 21

Problem Set 6

Lesson 22

15. Advanced Planning

Lesson 23

16. Computer Vision I

Lesson 24

17. Computer Vision II

Lesson 25

18. Computer Vision III

Lesson 26

Problem Set 7

Lesson 27

19. Robotics I

Lesson 28

20. Robotics II

Lesson 29

Problem Set 8

Lesson 30

21. Natural Language Processing

Lesson 31

22. Natural Language Processing II

Taught By The Best

Peter Norvig

Research Director, Google

Peter Norvig is a Director of Research at Google and is co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field.

Sebastian Thrun

Founder and Executive Chairman, Udacity

As the Founder and Chairman of Udacity, Sebastian's mission is to democratize education by providing lifelong learning to millions of students worldwide. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

Gain proven experience
Retain knowledge longer
Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.