Expand Your Knowledge of Artificial Intelligence

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.

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.

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.

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

We have a number of courses and programs we can recommend that will help prepare you for the program, depending on the areas you need to address. For example:

• Intro to Machine Learning
• Intro to Data Science
• Intro to Programming Nanodegree program
• Data Analyst Nanodegree program
• Artificial Intelligence Programming with Python Nanodegree program
• Machine Learning Engineer Nanodegree program
• Deep Learning Nanodegree program

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

The Artificial Intelligence Nanodegree program is comprised of content and curriculum to support four (4) projects. Once you subscribe to a Nanodegree program, you will have access to the content and services for the length of time specified by your subscription. We estimate that students can complete the program in three (3) months working 10 hours per week.

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.

Access to this Nanodegree program runs for the length of time specified in your subscription plan. See the Terms of Use and FAQ for other policies around the terms of access to our Nanodegree programs.

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

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.