AI Programming with Python
Learn all the essentials for AI programming with Python
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Study 10 hrs/week and complete in 2 months
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.
To make it even easier to learn, you can finance your Nanodegree through Affirm.
As low as $34 per month at 0% APR.
Pay your monthly bill using a bank transfer, check, or debit card.
Learn everything you need to start building your own AI applications
Start building deep learning applications in just two 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.
Master every key tool needed for AI success: Python, NumPy, Jupyter Notebooks, Pandas, Matplotlib, and PyTorch—all in one program.
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.
Engage with a Udacity mentor throughout your program experience. Learn faster and more confidently with 1:1 support from an AI expert.
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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.
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Ortal Arel has a PhD in Computer Engineering, and has been 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 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 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 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 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 is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
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.
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.