Nanodegree Program

Expand Your Knowledge of Artificial Intelligence

Learn essential Artificial Intelligence concepts from AI experts like Peter Norvig and Sebastian Thrun, including search, optimization, planning, pattern recognition, and more.


  • Time
    1 Three-Month Term

    Study 12-15 hrs/week and complete in 3 months.

  • Classroom Opens
    May 21, 2019

    Classroom opens 7 days after enrollment closes

  • Prerequisites
    Algebra, Calculus & Python

    See prerequisites in detail

  • Language

    Learning material and communication in English

Why Take This Nanodegree Program?

Learn from the world’s foremost AI experts, and develop a deep understanding of algorithms being applied to real-world problems in natural language processing, computer vision, bioinformatics, and more. Practice a structured approach for applying these techniques to new challenges, and emerge fully prepared to advance in the field.

Why Take This Nanodegree Program?

Top AI specialists are making $300-500k salaries!

Build a Deep Understanding of AI
Build a Deep Understanding of AI

Build a Deep Understanding of AI

Learn AI algorithms that have been successfully applied to real world problems in NLP, computer vision, bioinformatics, and more. Learn how to solve problems with these tools so that you can apply them in the real world.

Learn from the World’s Foremost AI Experts

Learn from the World’s Foremost AI Experts

Explore probabilistic models for pattern recognition with Sebastian Thrun, founder of Google’s self-driving car team. Discover how to implement key AI algorithms with Peter Norvig, co-author of the leading AI textbook. Learn how to frame and solve modern AI problems, and gain real-world experience.

1:1 Support from AI Experts
1:1 Support from AI Experts

1:1 Support from AI Experts

Engage with a mentor consistently throughout your program experience. As you build your AI skills, the mentor will provide 1:1 support as you master new concepts and complete challenging projects.

Personalized Project Reviews

Personalized Project Reviews

Work on career-caliber projects that will populate and enhance your professional profile, and benefit from detailed and actionable feedback from project reviewers who will help ensure you're doing your best work.

What You Will Learn

Download Syllabus

Learn Foundational AI Algorithms

Learn to write programs using the foundational AI algorithms powering everything from NASA’s Mars Rover to DeepMind’s AlphaGo Zero. You’ll master Beam Search and Random Hill Climbing, Bayes Networks and Hidden Markov Models, and more.

Learn to write AI programs using the algorithms powering everything from NASA’s Mars Rover to DeepMind’s AlphaGo Zero.

See fewer details

3 months to complete

Prerequisite Knowledge

This program requires experience with linear algebra, statistics, and Python (including object-oriented programming).See detailed requirements.

  • Constraint Satisfaction Problems

    Use constraint propagation and search to build an agent that reasons like a human would to efficiently solve any Sudoku puzzle.

    Build a Sudoku Solver
  • Search, Optimization, and Planning

    Build agents that can reason to achieve their goals using search and symbolic logic—like the NASA Mars rovers.

    Build a Forward Planning Agent
  • Adversarial Search

    Extend classical search to adversarial domains, to build agents that make good decisions without any human intervention—such as the DeepMind AlphaGo agent.

    Build an Adversarial Game Playing Agent
  • Fundamentals of Probabilistic Graphical Models

    Model real-world uncertainty through probability to perform pattern recognition.

    Part of Speech Tagging
AI is going to create all sorts of new jobs. I think it's nothing but upside and exciting for those who know what to do with it.
— Jordan Bitterman, CMO, IBM Watson Content & IoT Platform

Learn with the best

Peter Norvig
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
Sebastian Thrun

Founder, Udacity

Sebastian Thrun is a scientist, educator, inventor, and entrepreneur. Prior to founding Udacity, he launched Google’s self-driving car project.

Thad Starner
Thad Starner

Professor of Computer Science, Georgia Tech

Thad Starner is the director of the Contextual Computing Group (CCG) at Georgia Tech and is also the longest-serving Technical Lead/Manager on Google's Glass project.

Get Started Now

Artificial Intelligence
$999 USD

7 days refund

Learn everything you need to start building your own AI applications