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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
    January 8, 2019

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.

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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

(231)

5 stars
161
69.7%
4 stars
34
14.7%
3 stars
13
5.6%
2 stars
10
4.3%
1 stars
13
5.6%
Aaron B.

Time management was hard. I somehow completed the final project but i doubt i will remember the python libraries in coming weeks. Udacity should enforce, student not only learn but able to recall. I suggest it introduce a minimum check-in time of 5 hours/week where the system monitors student performing some programming tasks. This repetitive work will go long way towards recalling libraries even after nanodegree completion.

Srinjoy G.

This was a fantastic introduction to AI. I learned a lots of important concepts regarding image classification using PyTorch which is widely used in industries and all the Python, Linear Algebra and Calculus fundamentals. I am feeling very confident on pursuing more advanced technologies like self driving cars. Thank you so much Udacity for this great offering!

Christodoulos M.

So far? Awesome!

Audrey S T.

A good introduction course to AI and ML. Thoroughly enjoyed it. With the 1-1 mentorship went away, Study Group should have a better mentor-student ratio than the "2-mentor to the whole cohort" .

Devesh S.

I enrolled in this program because deep learning was buzzing in my ears everywhere I used too go. This program has really got me started in deep learning. Also, I was a noob at Python programming and this course helped me learn it very strongly and nicely and I learned about some of the great python packages like NumPy, Pandas, Matplotlib, Seaborn. It was really a great journey.

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AI Programming with Python

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Program Details

    PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
  • Why should I enroll?

    AI-powered increases in safety, productivity, and efficiency are already improving our world, and the best is yet to come! As it becomes increasingly evident how impactful AI can be, demand for employees with AI skills increases—demand is in fact already skyrocketing.

    The AI Programming with Python Nanodegree program makes it easy to learn the in-demand skills employers are looking for. You’ll learn foundational AI programming tools (Python, NumPy, PyTorch) and the essential math skills (linear algebra and calculus) that will enable you to start building your own AI applications in just three months.

    Whether you’re seeking a full-time role in an AI-related field, want to start applying AI solutions in your current role, or simply want to start learning the defining technology of our time, this is the perfect place to get started.

  • What jobs will this program prepare me for?

    While this is an introductory course that is not designed to prepare you for a specific job, after completing this program, you should be proficient in the skills used in the AI Industry, including but not limited to Python, machine learning, etc. If you wish to prepare for a full-time AI-related career, we recommend enrolling in our Machine Learning Engineer Nanodegree program next.

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

    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.

    ENROLLMENT AND ADMISSION
  • What are the prerequisites for enrollment?

    Formal prerequisites include basic knowledge of algebra and basic programming in any language. You will also need to be able to communicate fluently and professionally in written and spoken English.

  • Do I need to apply? What are the admission criteria?

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

    TUITION AND TERM OF PROGRAM
  • How is this Nanodegree program structured?

    The AI Programming with Python Nanodegree program is composed of one (1) Term of three (3) months. A Term has fixed start and end dates.

    To graduate, students must successfully complete all projects, providing the opportunity to apply and demonstrate new skills that you learn in the lessons. Each project will be reviewed by Udacity’s mentor 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.

  • How much does the program cost?

    The full program consists of one (1) 3-month long term at a cost of USD $599, for a total program cost of USD $599.

    Payment is due before the term begins.

  • I have graduated from the AI programming with Python program but I want to keep learning. Where should I go from here?

    Our graduates can continue on to our Machine Learning, Deep Learning, or Artificial Intelligence Nanodegree programs.

    SOFTWARE AND HARDWARE - WHAT DO I NEED FOR THIS PROGRAM?
  • What software and versions will I need in this program?

    We’ll teach you how to install all the software required. Virtually any 64-bit operating system with at least 8GB of RAM will be suitable. Udacity does not provide any hardware.

AI Programming with Python