Expand Your Knowledge of Artificial Intelligence

You must have completed a course in Deep Learning equivalent to the Deep Learning Nanodegree program prior to entering the program.  You will need to be able to communicate fluently and professionally in written and spoken English. 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 Artificial Intelligence Nanodegree 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

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.

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.

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