About this Course

Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.

Note: Parts of this course are featured in the Machine Learning Engineer Nanodegree and the Data Analyst Nanodegree programs. If you are interested in AI, be sure to check out those programs as well!

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Course Cost
Free
Timeline
Approx. 4 months
Skill Level
Intermediate
Included in Course
  • Rich Learning Content

  • Interactive Quizzes

  • Taught by Industry Pros

  • Self-Paced Learning

  • Student Support Community

Join the Path to Greatness

This free course is your first step towards a new career with the Machine Learning Engineer Nanodegree Program.

Free Course

Intro to Artificial Intelligence

Enhance your skill set and boost your hirability through innovative, independent learning.

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Course Leads

  • Peter Norvig
    Peter Norvig

    Instructor

  • Sebastian Thrun
    Sebastian Thrun

    Instructor

What You Will Learn

Lesson 1

Fundamentals of AI

  • Statistics, Uncertainty, and Bayes networks.
  • Machine learning.
  • Logic and planning.
Lesson 1

Fundamentals of AI

  • Statistics, Uncertainty, and Bayes networks.
  • Machine learning.
  • Logic and planning.
Lesson 2

Applications of AI

  • Image processing and computer vision.
  • Robotics and robot motion planning.
  • Natural language processing and information retrieval.
Lesson 2

Applications of AI

  • Image processing and computer vision.
  • Robotics and robot motion planning.
  • Natural language processing and information retrieval.

Prerequisites and Requirements

Some of the topics in Introduction to Artificial Intelligence will build on probability theory and linear algebra. You should have understanding of probability theory comparable to that covered in our Intro to Statistics course.

See the Technology Requirements for using Udacity.

Why Take This Course

Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science. In this course you’ll learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals
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