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Python for Practical AI Engineering

Write, run and debug small Python programs, and organise them as a project that someone else can set up and use.

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What you'll learn

By the end of this course, you will be able to:

  • Write and debug small Python programs.
  • Work with files, collections and external data.
  • Organize reusable modules with clear interfaces.
  • Manage dependencies, configuration and tests.

About this course

Python is the main language for AI work. Data preparation, model training, evaluation and the code that calls an AI model are usually written in Python. This course teaches the Python that you need for that work, and the habits that make your code reliable.

You build one project through the whole course: ticket-cleaner. It is a small program that reads support tickets, finds the records that are not valid, and writes a clean summary report. Each module adds one part. At the end, the program runs from the terminal, has tests, and has a README that another person can follow.

Each lesson shows the real output, so you can compare your screen with the lesson at every step. Many lessons have a code box that runs Python in your browser, so you can try an idea before you type it into your project. Each lesson also shows a common mistake: what you see, why it happens, and how to recover.

Before you start

You can use a computer and manage files and folders. You do not need to know the terminal or any programming language. The first lesson teaches the terminal skills that the course uses.

Who this is for

People who are new to programming, and people who know a little Python from tutorials or notebooks but have not built a project that other people can run. You work on your own computer, with free tools only.

How we made this course

Experienced AI practitioners designed this course. AI helped us draft the content; people chose the teaching approach and the examples, and reviewed every lesson. The outputs that you see are the actual results of running the code. How we make our courses

Inside the course

Module 1Computer and environment basics

3 lessons

Use the terminal to move between folders and run commands, install Python, and run your first script. Then give your project its own virtual environment, so its packages do not affect other projects.

  1. Files and terminal25 min
  2. Install and verify Python30 min
  3. Isolate dependencies35 min

Module 2Values and control flow

3 lessons

Work with numbers, text, true and false values, and collections of support tickets. Use conditions and loops to filter tickets and count them by category, and predict the output before you run the code.

  1. Basic values35 min
  2. Collections40 min
  3. Decisions and repetition45 min

Module 5Debugging and reliability

3 lessons

Read a traceback, find the cause of a failure, and add log messages that help. Write focused tests with pytest, including tests for empty and invalid input.

  1. Read failures45 min
  2. Exceptions and logging45 min
  3. Focused tests50 min

After Module 6Final assignment

Use every module in one practice project. You collect evidence, and check it against the course outcomes.

  1. Final assignment240 min

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