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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 May 19, 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.

Lesson 1

Welcome to AI Programming with Python

Welcome to the AI Programming with Python Nanodegree program!

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Lesson 3

Get Help with Your Account

What to do if you have questions about your account or general questions about the program.

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.

Lesson 1

Why Python Programming

Welcome to Introduction to Python! Here's an overview of the course.

Lesson 2

Data Types and Operators

Familiarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.

Lesson 3

Data Structures in Python

Use data structures to order and group different data types together! Learn about the types of data structures in Python, along with more useful built-in functions and operators.

Lesson 4

Control Flow

Build logic into your code with control flow tools! Learn about conditional statements, repeating code with loops and useful built-in functions, and list comprehensions.

Lesson 5

Functions

Learn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.

Lesson 6

Scripting

Set up your own programming environment to write and run Python scripts locally! Learn good scripting practices, interact with different inputs, and discover awesome tools.

Lesson 7

Introduction to Object-Oriented Programming

Learn the basics of object-oriented programming so that you can build your own Python package.

Lesson 8 • Project

Use a Pre-trained Image Classifier to Identify Dog Breeds

In this project, you will use Python code and a created image classifier to identify dog breeds.

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).

Lesson 1

Anaconda

Anaconda is a package and environment manager built specifically for data. Learn how to use Anaconda to improve your data analysis workflow.

Lesson 2

Jupyter Notebooks

Jupyter Notebooks are a great tool for getting started with writing python code. Though in production you often will write code in scripts, notebooks are wonderful for sharing insights and data viz!

Lesson 3

NumPy

Learn the basics of NumPy and how to use it to create and manipulate arrays.

Lesson 4

Pandas

Learn the basics of Pandas Series and DataFrames and how to use them to load and process data.

Lesson 5

Matplotlib and Seaborn Part 1

Learn how to use matplotlib and seaborn to visualize your data. In this lesson, you will learn how to create visualizations to depict the distributions of single variables.

Lesson 6

Matplotlib and Seaborn Part 2

In this lesson, you will use matplotlib and seaborn to create visualizations to depict the relationships between two variables.

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.

Lesson 1

Introduction

Take a sneak peek into the beautiful world of Linear Algebra and learn why it is such an important mathematical tool.

Lesson 2

Vectors

Learn about vectors, the basic building block of Linear Algebra.

Lesson 3

Linear Combination

Learn how to scale and add vectors and how to visualize the process.

Lesson 4

Linear Transformation and Matrices

What is a linear transformation and how is it directly related to matrices? Learn how to apply the math and visualize the concept.

Lesson 5

Vectors Lab

Learn how to graph 2D vectors.

Lesson 6

Linear Combination Lab

Learn how to computationally determine a vector's span and solve a simple system of equations.

Lesson 7

Linear Mapping Lab

Learn how to solve some problems computationally using vectors and matrices.

Lesson 8

Linear Algebra in Neural Networks

Take a peek into the world of Neural Networks and see how it related directly to Linear Algebra!

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.

Photo of Andrew Paster

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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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.

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