New!
Nanodegree Program

Learn all the essentials for AI programming with Python

Learn Python, NumPy, Pandas, Matplotlib, PyTorch, Calculus, and Linear Algebra—the foundations for building your own neural network.

Enrollment Closing In

  • Time
    One 3-month term

    Study 10 hrs/week and complete in 3 months

  • Classroom Opens
    May 7, 2019

    Classroom opens 7 days after enrollment closes

Why Take This Nanodegree Program?

Learning to program with Python, one of the most widely used languages in Artificial Intelligence, is the core of this program. You’ll also focus on neural networks—AI’s main building blocks. By learning foundational AI and math skills, you lay the groundwork for advancing your career—whether you’re just starting out, or readying for a full-time role.


Why Take This Nanodegree Program?

AI-enabled tools will generate $2.9 trillion in business value by 2021

Efficient and Effective Pace
Efficient and Effective Pace

Efficient and Effective Pace

Start building deep learning applications in just three months. Learn foundational AI skills as you work through a world-class curriculum. Learn from industry leaders, and acquire core skills that will make your next career steps possible.

A Complete AI Toolkit

A Complete AI Toolkit

Master every key tool needed for AI success: Python, NumPy, Jupyter Notebooks, Pandas, Anaconda, Matplotlib, and PyTorch—all in one program.

Personalized Project Reviews
Personalized Project Reviews

Personalized Project Reviews

Receive personalized feedback from our mentor network and platform when you submit your Python project and your first neural network project. They’ll provide detailed and actionable insight, and challenge you to do your best work.

Personalized Support and Mentorship

Personalized Support and Mentorship

Learn with the support of mentors from the very beginning of the program, and connect with thousands of fellow students on dedicated Udacity-moderated platforms.

What You Will Learn

Download Syllabus

Learn AI Fundamentals

Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).

Learn the essential foundations of AI: the programming tools, the math, and the key techniques.

See fewer details

3 months to complete

Prerequisite Knowledge

Formal prerequisites include basic knowledge of algebra, and basic programming in any language.See detailed requirements.

  • Introduction to Python

    Start coding with Python, drawing upon libraries and automation scripts to solve complex problems quickly.

    Use a Pre-trained Image Classifier to Identify Dog Breeds
  • Jupyter Notebooks, NumPy, Anaconda, Pandas, and Matplotlib

    Learn how to use all the key tools for working with data in Python: Jupyter Notebooks, NumPy, Anaconda, Pandas, and Matplotlib.

  • Linear Algebra Essentials

    Learn the foundational linear algebra you need for AI success: vectors, linear transformations, and matrices—as well as the linear algebra behind neural networks.

  • Calculus Essentials

    Learn the foundations of calculus to understand how to train a neural network: plotting, derivatives, the chain rule, and more. See how these mathematical skills visually come to life with a neural network example.

  • Neural Networks

    Gain a solid foundation in the hottest fields in AI: neural networks, deep learning, and PyTorch.

    Create Your Own Image Classifier
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

Ortal Arel
Ortal Arel

Curriculum Lead

Ortal Arel has a PhD in Computer Engineering, and has been a professor and researcher in the field of applied cryptography. She has worked on design and analysis of intelligent algorithms for high-speed custom digital architectures.

Luis Serrano
Luis Serrano

Instructor

Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.

Jennifer Staab
Jennifer Staab

Instructor

Jennifer has a PhD in Computer Science, Masters in Biostatistics, and was a professor at Florida Polytechnic University. She previously worked at RTI International and United Therapeutics as a statistician and computer scientist.

Juan Delgado
Juan Delgado

Instructor

Juan is a computational physicist with a Masters in Astronomy. He is finishing his PhD in Biophysics. He previously worked at NASA developing space instruments and writing software to analyze large amounts of scientific data using machine learning techniques.

Grant Sanderson
Grant Sanderson

Instructor

Grant Sanderson is the creator of the YouTube channel 3Blue1Brown, which is devoted to teaching math visually, using a custom-built animation tool. He was previously a content creator for Khan Academy.

Mat Leonard
Mat Leonard

Instructor

Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.

Mike Yi
Mike Yi

Instructor

Mike is a Content Developer with a BS in Mathematics and Statistics. He received his PhD in Cognitive Science from the University of Irvine. Previously, he worked on Udacity's Data Analyst Nanodegree program as a support lead.

Juno Lee
Juno Lee

Instructor

As a data scientist at Looplist, Juno built neural networks to analyze and categorize product images, a recommendation system to personalize shopping experiences for each user, and tools to generate insight into user behavior.

Andrew Paster
Andrew Paster

Instructor

Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity’s Self-Driving Car Engineer Nanodegree program.

Student Reviews

4.4

(247)

5 stars
176
71.3%
4 stars
35
14.2%
3 stars
13
5.3%
2 stars
10
4.0%
1 stars
13
5.3%
Akash A.

The Projects made me learn many new things which were unknown to me. This made me stronger in my skills and open for more job markets! Definitely worth paying the money!

Erick C.

It's awesome

Stephanie S.

Just super :)

UTKARSH T.

This was an awesome program which provides an efficient way to grasp the concepts of Neural Networks quickly. The learning experience was good but there were some parts where a bit more explanation is needed.

Chetan A.

Until it has been a wonderful experience. The program is going perfectly well. The instructors are very lively and knowledgeable. Enjoying learning!!

Get Started Now

New
AI Programming with Python
$599 USD

total

Learn everything you need to start building your own AI applications.

AI Programming with Python