Artificial Intelligence: Principles and Techniques


Stanford School of Engineering



Artificial Intelligence has emerged as an increasingly impactful discipline in science and technology. AI applications are embedded in the infrastructure of many products and industries search engines, medical diagnoses, speech recognition, robot control, web search, advertising and even toys.

This introductory course provides a broad overview of modern artificial intelligence. Learn how machines can engage in problem solving, reasoning, learning, and interaction. Design, test and implement algorithms. Gain an appreciation of this dynamic field.

This course is now full. Please enroll in the wait list section. In the case that a spot becomes available, Student Services will contact you. Make sure you have submitted your NDO application and required documents to be considered.



CS103, CS106B or CS106X, CS107 and CS109 (algorithms, probability and programming experience)

Topics include

  • Search
  • Constraint satisfaction
  • Markov decision processes
  • Planning and game playing
  • Machine learning
  • Graphical models
  • Logic

Note on Course Availability

This course is typically offered Autumn quarter.

The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.

034 Autumn 2019-20

Enroll Now

Dates:September 23 - December 6, 2019
Days: Mon
Units: 3.00-4.00
Delivery Option:
Waitlist $0.00 ?


Enrollment Dates: August 1 to September 9, 2019

Computer Science Department Requirement
Students taking graduate courses in Computer Science must enroll for the maximum number of units and maintain a B or better in each course in order to continue taking courses under the Non Degree Option.

This course may not currently be available to learners in some states and territories.