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AI Programming with Python

Nanodegree Program

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

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  • Estimated time
    3 Months

    At 10 hrs/week

  • Enroll by
    June 7, 2023

    Get access to classroom immediately on enrollment

  • Skills acquired
    NumPy, MatPlotLib, Python Operators, Pandas

What you will learn

  1. Learn AI Fundamentals

    3 months to complete

    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).

    Prerequisite knowledge

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

    1. Introduction to Python

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

    2. 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.

        All our programs include

        • Real-world projects from industry experts

          With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.

        • Real-time support

          On demand help. Receive instant help with your learning directly in the classroom. Stay on track and get unstuck.

        • Career services

          You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.

        • Flexible learning program

          Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

        Program offerings

        • Class content

          • Real-world projects
          • Project reviews
          • Project feedback from experienced reviewers
        • Student services

          • Student community
          • Real-time support
        • Career services

          • Github review
          • Linkedin profile optimization

        Succeed with personalized services.

        We provide services customized for your needs at every step of your learning journey to ensure your success.

        Get timely feedback on your projects.

        • Personalized feedback
        • Unlimited submissions and feedback loops
        • Practical tips and industry best practices
        • Additional suggested resources to improve
        • 1,400+

          project reviewers

        • 2.7M

          projects reviewed

        • 88/100

          reviewer rating

        • 1.1 hours

          avg project review turnaround time

        Learn with the best.

        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


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

        • Juan Delgado

          Content Developer

          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 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 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 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


          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 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.

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        AI Programming with Python

        Get started today

          • Learn

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

          • Average Time

            On average, successful students take 3 months to complete this program.

          • Benefits include

            • Real-world projects from industry experts
            • Real-time classroom support
            • Career services

          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 comprised of content and curriculum to support two (2) projects. We estimate that students can complete the program in three (3) months working 10 hours per week.

            Each project will be reviewed by the Udacity reviewer 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 length of time specified above. If you do not graduate within that time period, you will continue learning with month-to-month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

          • Can I switch my start date? Can I get a refund?

            Please see the Udacity Program FAQs for policies on enrollment in our programs.

          • 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

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