Introduction to Python for AI Programmers

Course

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

Beginner
1 month
Last Updated January 6, 2025

Skills you'll learn:

Python data typesControl flow

Prerequisites:

No experience required

Beginner

1 month

Last Updated January 6, 2025

Skills you'll learn:

Python data types • Control flow • Python operators • Python exception handling

Prerequisites:

No experience required

Course Lessons

Lesson 1

Why Python Programming for AI

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

Lesson 2

Using Python Data Types and Operators in AI Programming

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

Python Data Structures in AI Programming

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

Using Control Flow in AI Programming

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

Using Python Functions in AI Programming

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

Lesson 6

Python Scripting for AI Programming

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 Python for AI 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.

Taught By The Best

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.

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.

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.

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.