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.

Enrollment Closing In

  • Time
    1 Three-Month Term

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

  • Classroom Opens
    January 22, 2019

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.

Unique Projects, Personalized Feedback
Unique Projects, Personalized Feedback

Unique Projects, Personalized Feedback

Work on specially-designed projects, and receive detailed feedback on each from our mentors.

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.

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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.

Student Reviews



5 stars
4 stars
3 stars
2 stars
1 stars
Weipeng S.

The program was great, but it would be better for me if more advanced lectures were provided. I love the way that the projects were going, which helped me a lot!

shashank rao m.

EPIC!. I have learnt so many things along the way. Most importantly, How to deal with python dictionaries :P (They are everywhere!). Thanks for this experience!

Rama Krishna J.

This has been fantastic experience, I get to learn more about AI and AI algorithms and continue to build application on this platform.

Chentian L.


Wong J.

Difficult but worth taking!

Get Started Now

Artificial Intelligence
$999 USD


Learn everything you need to start building your own AI applications

Program Details

  • Why should I enroll in this program?

    The Artificial Intelligence Nanodegree program features expert instructors, and world-class curriculum built in collaboration with top companies in the field. The program offers a broad introduction to the field of artificial intelligence, and can help you maximize your potential as an artificial intelligence or machine learning engineer. If you’re ready for an efficient and effective immersion in the world of AI, with the goal of pursuing new opportunities in the field, this is an excellent program for you.

  • What jobs will this program prepare me for?

    This Nanodegree program is designed to build on your existing skills as an engineer or developer. As such, it doesn't prepare you for a specific job, but instead expands your skills with artificial intelligence algorithms. These skills can be applied to various applications such as video game AI, pathfinding for robots, and recognizing patterns over time like handwriting and sign language.

  • How do I know if this program is right for me?

    In this Nanodegree program, you will 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. If your goal is to become an AI expert, then this program is ideal, because it teaches you some of the most important algorithms in AI. You’ll benefit from a structured approach for applying these techniques to new challenges, and emerge from the program fully prepared to advance in the field.

  • What are the prerequisites for enrollment?

    You must have completed a course in Deep Learning equivalent to the Deep Learning Nanodegree program prior to entering the program. Additionally, you should have the following knowledge: Intermediate Python programming knowledge, including:

    • Strings, numbers, and variables
    • Statements, operators, and expressions
    • Lists, tuples, and dictionaries
    • Conditions, loops
    • Generators & comprehensions
    • Procedures, objects, modules, and libraries
    • Troubleshooting and debugging
    • Research & documentation
    • Problem solving
    • Algorithms and data structures

    Basic shell scripting:

    • Run programs from a command line
    • Debug error messages and feedback
    • Set environment variables
    • Establish remote connections

    Basic statistical knowledge, including:

    • Populations, samples
    • Mean, median, mode
    • Standard error
    • Variation, standard deviations
    • Normal distribution

    Intermediate differential calculus and linear algebra, including:

    • Derivatives & Integrals
    • Series expansions
    • Matrix operations through eigenvectors and eigenvalues

    Additionally, you should be able to follow and interpret pseudocode for algorithms like the example below and implement them in Python. You should also be able to informally evaluate the time or space complexity of an algorithm. For example, you should be able to explain that a for loop that does constant O(1) work on each iteration over an array of length n has a complexity of O(n).

    function Hill-Climbing(problem) returns a State
        current <- Make-Node(problem.Initial-State)
        loop do
            neighbor <- a highest-valued successor of current
            if neighbor.value ≤ current.value then return current.state
            current <- neighbor
  • If I don’t meet the requirements to enroll, what should I do?
  • Do I need to apply? What are the admission criteria?

    No. This Nanodegree program accepts all applicants regardless of experience and specific background.

  • How is this Nanodegree program structured?

    The Artificial Intelligence Nanodegree program is comprised of one (1) three (3)- month Term. The Terms have fixed start and end dates.

    To graduate, students must successfully complete four (4) projects, each of which affords you the opportunity to apply and demonstrate new skills that you learn in the lessons. Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

  • How long is this Nanodegree program?

    Access to this Nanodegree program runs for the period noted in the Term length section above. See the Terms of Use and FAQs for other policies around the terms of access to our Nanodegree programs.

  • Can I switch my start date? Can I get a refund?

    Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.

  • What software and versions will I need in this program?

    You will need a computer running a 64-bit operating system (most modern Windows, OS X, and Linux versions will work) with at least 8GB of RAM, along with administrator account permissions sufficient to install programs including Anaconda with Python 3.5 and supporting packages. Your network should allow secure connections to remote hosts (like SSH). We will provide you with instructions to install the required software packages. Udacity does not provide any hardware.