Nanodegree Program
Learn all the essentials for AI programming with Python
Enrollment Closing In
New!
Time
One 3-month term
Study 10 hrs/week and complete in 3 months
Classroom Opens
July 3, 2018
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 experts in the field, and amass 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, Matplotlib, and PyTorch—all in one program.
Personalized Project Reviews
Receive personalized feedback from AI experts when you submit your first neural network project. They’ll provide detailed and actionable insight, and challenge you to do your best work.
1:1 Mentor Support
Engage with a Udacity mentor throughout your program experience. Learn faster and more confidently with 1:1 support from an AI expert.
What You Will Learn
Download SyllabusLearn AI Fundamentals
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Prerequisite Knowledge
Formal prerequisites include basic knowledge of algebra and calculus. Basic programming knowledge will help to quickly pick up AI’s essential coding concepts. See detailed requirements.
Introduction to Python
Start coding with Python, drawing upon libraries and automation scripts to solve complex problems quickly.
NumPy, Pandas, and Matplotlib
Learn how to use all the key tools for working with data in Python: Anaconda, NumPy, Pandas, and Matplotlib.
Linear Algebra Essentials
Learn the foundational math you need for AI success: vectors, linear transformations, and matrices—as well as the linear algebra behind neural networks.
Neural Networks
Gain a solid foundation in the hottest fields in AI: neural networks, deep learning, and PyTorch.
Build Your Own Neural Network
“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.
Student Reviews
(76)
5 stars
68.4%
4 stars
15.8%
3 stars
9.2%
2 stars
0.0%
1 stars
6.6%
Elie K.
This was a very good program, I learned a lot from it. Now I have a good understanding of AI network and how they are trained and used. and I'm ready to dive a bit deeper, and go to tthe next level All material presented was sufficient to complete the project. But with many personal interruptions, I felt that I had to do a treasure hunt to find the info to put together the final projects; we had bits and pieces of all the info, but with variation on implementation, and probably with some confusion on Pytorch usage (reading from files, or directory structure, or going from numpy to pytorch, etc). This was compounded by the inability to train torchvision VGG16 model with CUDA on my own NVidia 780 GTX TI with 3GB of ram (I was running out of memory, but I was able to do “prediction”). And the fact that I was getting disconnected every so often when running on Udacity server with CUDA (repeat, restart, etc), and not getting convergence, while trying to debug the code, and trying to internalize the transform and other factors, made it a bit difficult to complete some tasks in one sitting. I wish there were some hints, and more indication on what to look for; e.g. it would have been nice to about trying different lower value “LearnRate”, I would have saved a week. And there are many gotchas too: like saving the model parameters ( which ones), and if you save in CUDA, the model would not run on my desktop ( which has no CUDA). Also, it was nice to have classmate comments and solution column, but the web-format was painful to use (hard to read, and follow)… But I ’m very thankful for the few hints I got from other classmates.
Alexey A.
Good program. Liked it very much. Recommend
Victor H.
Challenging and fun. I'll recommended
Jason Y.
In depth coverage of Python if you need it then jumps into Linear Algebra, and then into some topical programming.
Matt P.
Great program. It's clear, meaningful and cuts out a lot of noise when compared to other training programs. Also, I'm studying at one of the most elite tech universities in the world, and I can say that these modules are a far better source of knowledge (better structures, better content and far more practical in terms of delivery methods). The only thing I'd recommend is to have the option to be able to download a digital PDF of all the content for future references. I'm very grateful for Udacity and it's brilliant Nanodegrees!
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AI Programming with Python
$399 USD
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FAQ
Why should I enroll in the AI Programming with Python Nanodegree program?
AI is changing how entire industries operate—retail, education, healthcare, and almost every other field out there. 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 learning 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) 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 kinds of topics will the program cover?
In this program, you’ll learn all the fundamental prerequisites you need to become an AI practitioner. You will focus on programming skills, foundational math, and even dive into neural networks and deep learning.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.What jobs will this program prepare me for?
This program is designed for you to learn stackable AI skills that can augment your current skillset. As such, it does not prepare you for a specific job. Instead, it enables you to start using AI techniques in your current role. If you are just getting started with these technologies, you will learn foundational skills that will enable you to progress to more advanced studies. If you wish to prepare for a full-time AI-related career, we recommend enrolling in our Machine Learning Engineer Nanodegree program next.Will I receive a credential when I graduate, as with other Nanodegree programs?
Yes! You will receive an AI Programming with Python Nanodegree program credential after you successfully complete the program.I’ve graduated from the AI Programming with Python Nanodegree 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. Feel free to explore other Nanodegree program options as well.
Can I enroll in the program at any time?
Yes! We admit students on a rolling basis, and you will automatically be added to the next available term once you’ve successfully enrolled. Depending on when you enroll, your term may start as late as four weeks after your enrollment date.Once I am enrolled, when does the content become available?
When you enroll, you are automatically added to the next available term. Every term has a fixed start date, and content becomes available on that date.Can I enter the classroom prior to the start of my term?
Yes, but you won’t be able to access the content, as it stays locked until your term begins. In the classroom, you’ll see a countdown to your term’s start date.Are deferments an option if I'm enrolled, but not ready to start yet?
No, deferments are not an option. We ask that you please make sure to enroll for a term only if you are able to commit to the entire time frame.What are the prerequisites for enrollment?
Formal prerequisites include basic knowledge of algebra and calculus. Basic programming knowledge will help you to quickly pick up AI’s essential coding concepts.Can I enroll in other Nanodegree programs while I’m enrolled in the AI Programming with Python Nanodegree program?
Our programs require a serious time commitment from students, so while we do not recommend doing so, we do not prohibit concurrent enrollments. This is an intensive, paced program, and students must proceed throughout the programs at the required rate of progress. To make the most of your experience, we believe you are best served by focusing on one program at a time and being fully immersed in the unique structure and pacing. You can always take one after the other!Will I have permanent access to the material even after the term ends?
No. You will retain access to the program materials for a period of time after graduation and you may download certain materials for your own records if you wish. Please note however, that students who leave the program—or who are removed from the program for failure to meet the final deadlines—prior to successfully graduating, will cease to have access.
Enrollment
- This program is subject to special terms and conditions, as described here.
Other Terms and Conditions
How much does the Nanodegree program cost?
This Nanodegree program consists of one term that is three months long. Students must complete the full program in three months to earn their credential and graduate. The term costs $399, which is paid at the beginning of the term.Is payment due before the term begins?
Yes. This enables us to know exactly how many student are in a term, and can optimize our instructional and support resources accordingly. Additionally, this approach ensures a consistent and stable student body throughout the program, which fosters a deeper sense of community, and enables richer collaborations as students work together as a group.Is there a free trial period for this program?
No, there is no free trial period for this program.What is the refund policy?
There is a 7-day refund policy. During this time, you can visit the Settings page of your Udacity classroom where you can unenroll and request a full refund. This 7-day window begins the day the classroom opens. After the first 7 days, course fees are non-refundable.Are there any scholarships available for this program?
All current scholarship opportunities are posted on our Scholarships page.
Tuition
How many hours a week should I expect to spend on my coursework, in order to succeed in this program?
Between instructional content, quizzes, project, and other course-related activity, we estimate that investing 10 hours per week will enable you to proceed through the program at a successful pace.Is this program self-paced?
It is not. This is a unique, termed program that requires students to keep pace with their peers throughout the duration of the program. If a student does not complete a term by the term deadline, they will be removed from the program and will need to re-enroll in a new term and pay the full term fee in order to continue.Will I be able to pause my Nanodegree program?
No. Due to the fixed-term nature of the AI Programming with Python Nanodegree program, and the need for maintaining a consistent and stable student body throughout, it will not be possible to pause your enrollment in this program.What happens if I don't complete the project on time?
It is strongly recommended that you complete the project on time to ensure you meet graduation requirements. To graduate, you must complete, submit, and meet expectations for the required project by the final deadline. While there is no penalty for missing the project deadline, missing it puts you at risk to be removed from the program if you do not stay on track and complete the project before the term ends. Finally, by keeping pace with your fellow students, you'll gain much more value from forums and Slack channels!What happens if I don't complete a term by the term deadline?
You will receive a free four-week extension, which is automatically applied to your account if you do not complete the program within the term. If you do not complete the program within the extension, you will be removed from the program and will no longer be able to access course content. To resume access to the course, you would need to pay the term fee again. In such case, your progress will carry over, so you will be able to continue where you left off.
Structure & Deadlines
- While some of the video material is available outside of the program, most of the material will only be available to currently enrolled Nanodegree students. Access to project feedback, instructor support, and hiring partners are benefits exclusive to the Nanodegree programs.