Welcome to AI Programming with Python

Start using AI techniques and developing skills related to programming, linear algebra, and neural networks.

Why Python Programming

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

Data Types and Operators

Control Flow



Lab Classifying Images

In this project, learners will be testing their newly-acquired Python coding skills by using a trained image classifier. They will need to use the trained neural network to classify images of dogs (by breeds) and compare the output with the known dog breed classification. Learners will have a chance to build their own functions, use command line arguments, test the runtime of the code, create a dictionary of lists, and more.


Learn how to use all the key tools for working with data in Python: Jupyter Notebooks, NumPy, Anaconda, Pandas, and Matplotlib.


Matplotlib and Seaborn Part 1

Learn how to use Matplotlib to choose appropriate plots for one and two variables based on the types of data you have.

Matplotlib and Seaborn Part 2


Learn the foundational math needed for AI success—vectors, linear transformations, and matrices—as well as the linear algebra behind neural networks.


Linear Combination

Linear Transformation and Matrices

Vectors Lab

Linear Combination Lab

Linear Mapping Lab

Linear Algebra in Neural Networks

Introduction to Neural Networks

Gain a solid foundation in the latest trends in AI: neural networks, deep learning, and PyTorch.

Implementing Gradient Descent

Training Neural Networks

Deep Learning with PyTorch

Create Your Own Image Classifier

How Do I Continue From Here

04. Course Overview

What’s Ahead

Lesson 2: Data Types and Operators

  • Data Types: Integers, Floats, Booleans, Strings, Lists, Tuples, Sets, Dictionaries
  • Operators: Arithmetic, Assignment, Comparison, Logical, Membership, Identity
  • Built-In Functions, Compound Data Structures, Type Conversion
  • Whitespace and Style Guidelines

Lesson 3: Control Flow

  • Conditional Statements
  • Boolean Expressions
  • For and While Loops
  • Break and Continue
  • Zip and Enumerate
  • List Comprehensions

Lesson 4: Functions

  • Defining Functions
  • Variable Scope
  • Documentation
  • Lambda Expressions
  • Iterators and Generators

Lesson 5: Scripting

  • Python Installation and Environment Setup
  • Running and Editing Python Scripts
  • Interacting with User Input
  • Handling Exceptions
  • Reading and Writing Files
  • Importing Local, Standard, and Third-Party Modules
  • Experimenting with an Interpreter