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AI Programming with Python

Nanodegree Program

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

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

Beginner

2 months

Real-world Projects

Completion Certificate

Last Updated February 15, 2024

Skills you'll learn:
NumPy • matplotlib • Vector visualization • Python data types
Prerequisites:
Elementary algebra • Basic Python

Courses In This Program

Course 1 2 hours

Introduction to AI Programming

Welcome to the AI programming with python Nanodegree Program! Come and explore the beautiful world of AI.

Course 2 4 weeks

Introduction to Python for AI Programmers

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

Course 3 8 hours

Numpy, Pandas, Matplotlib

Let's focus on library packages for Python, such as : Numpy (which adds support for large data), Pandas (which is used for data manipulation and analysis) And Matplotlib (which is used for data visualization).

Course 4 9 hours

Linear Algebra Essentials

Learn the basics of the beautiful world of Linear Algebra and why it is such an important mathematical tool in the world of AI.

Taught By The Best

Photo of Mat Leonard

Mat Leonard

Content Developer

Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.

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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.

Photo of Jennifer Staab

Jennifer Staab

Instructor

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.

Photo of 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.

Photo of Juan Delgado

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.

Photo of 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.

Photo of Mike Yi

Mike Yi

Data Analyst Instructor

Mike is a content developer with a multidisciplinary academic background, including math, statistics, physics, and psychology. Previously, he worked on Udacity's Data Analyst Nanodegree program as a support lead.

Photo of 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.

Photo of 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.

Ratings & Reviews

Average Rating: 4.7 Stars

(592 Reviews)

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The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

  • Gain proven experience

  • Retain knowledge longer

  • Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.

  • Get help from subject matter experts

  • Learn industry best practices

  • Gain valuable insights and improve your skills

About AI Programming with Python

Our AI Programming with Python Nanodegree program offers a beginner-friendly exploration into Python AI programming. This course covers Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra, laying a solid foundation for building neural networks. You'll engage in practical projects like vector visualization and Python data types, gaining real-world experience. Taught by experts like Mat Leonard and Luis Serrano, this Python AI course combines hands-on learning with industry insights, making it ideal for those starting in AI. At Udacity, we're dedicated to your success. With our approach, you don't just learn – you apply. Our practical projects, based on real-world scenarios, ensure that you gain experience and retain knowledge, enabling you to immediately apply your new skills. Embrace this opportunity to kickstart your career in AI with Udacity, where innovation and success are part of our DNA.