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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.
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
Master every key tool needed for AI success: Python, NumPy, Jupyter Notebooks, Pandas, Anaconda, Matplotlib, and PyTorch—all in one program.
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
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 SyllabusLearn AI Fundamentals
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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 BreedsJupyter 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
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
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
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
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
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
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
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
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
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
Top Reviews
(240)
5 stars
70.4%
4 stars
14.6%
3 stars
5.4%
2 stars
4.2%
1 stars
5.4%
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
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AI Programming with Python
$599 USD
total
Learn everything you need to start building your own AI applications.
