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GeezerVison is showing www.udacity.com — Introduction to Artificial Intelligence | Udacity

Intro to Artificial Intelligence

Dive into the world of AI with a comprehensive introduction to its foundational concepts, including machine learning, computer vision, NLP, and probabilistic reasoning. This course offers a solid starting point for anyone looking to understand the field.

  • Course
  • Intermediate
  • 4.4 (715)
  • Updated: May 15, 2025
Free Course

Intro to Artificial Intelligence

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Prerequisites

0 prerequisites

No prior technical experience required.

You will need to be able to communicate fluently and professionally in written and spoken English.

Course Outline

  • 33 lessons
  1. 1. Welcome to AI
  2. Explore More
  3. 2. Problem Solving
  4. Problem Set 1
  5. 3. Probability in AI
  6. 4. Probabilistic Inference
  7. Problem Set 2
  8. 5. Machine Learning
  9. 6. Unsupervised Learning
  10. Problem Set 3
  11. 7. Representation with Logic
  12. 8. Planning
  13. Problem Set 4
  14. 9. Planning under Uncertainty
  15. 10. Reinforcement Learning
  16. Problem Set 5
  17. 11. HMMs and Filters
  18. 12. MDP Review
  19. Midterm Exam
  20. 13. Games
  21. 14. Game Theory
  22. Problem Set 6
  23. 15. Advanced Planning
  24. 16. Computer Vision I
  25. 17. Computer Vision II
  26. 18. Computer Vision III
  27. Problem Set 7
  28. 19. Robotics I
  29. 20. Robotics II
  30. Problem Set 8
  31. 21. Natural Language Processing
  32. 22. Natural Language Processing II
  33. What’s Next

Program Instructors

2 instructors

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Peter Norvig

Research Director, Google

Sebastian Thrun

Founder and Executive Chairman, Udacity

Peter Norvig

Research Director, Google

Sebastian Thrun

Founder and Executive Chairman, Udacity

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Learn More
artificial intelligence
AI Programming with Python

Develop a strong foundation in Python programming for AI, utilizing tools like NumPy, pandas, and Matplotlib for data analysis and visualization. Learn how to use, build, and train machine learning models with popular Python libraries. Implement neural networks using PyTorch. Gain practical experience with deep learning frameworks by applying your skills through hands-on projects. Explore generative AI with Transformer neural networks, learn to build, train, and deploy them with PyTorch, and leverage pre-trained models for natural language processing tasks. Designed for individuals with basic programming experience, this program prepares you for advanced studies in AI and machine learning, equipping you with the skills to begin a career in AI programming.

Nanodegree Program

4.7

Beginner

52 hours

Reviews

Trustpilot reviews

Average Rating: 4.4 (715 Reviews)

5

IT IS INTRESTING

IT IS INTRESTING

— Shoroq Baniata

Nov 3, 2026

Trustpilot

5

Wonderfull

Wonderfull

— Yewib Abeba

Nov 3, 2026

Trustpilot

5

I really appres=ciate the module

I really appres=ciate the module

— Irumva Mapendo Joel

Oct 30, 2026

Trustpilot

4

Intro to Artificial Intelligence

Intro to Artificial Intelligence

— Wubishet Tsagaye

Oct 29, 2026

Trustpilot

5

the course was highly theoretical

the course was highly theoretical

— Akram Ssengooba

Oct 28, 2026

Trustpilot

Showing 5 out of 715 Reviews

Free Course

Intro to Artificial Intelligence

Need help? Contact Support

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