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Python for AI Engineering

Alexey Grigorev

AI/ML engineer, founder of AI Shipping Labs and DataTalks.Club.

python fundamentals data

A practical Python course built around a real running project: a podcast aggregator. You learn Python by writing it, growing the project from a Jupyter notebook into a structured command-line application that can fetch, parse, and analyze podcast data.

Suitable for newcomers to Python who already program in another language, and for self-taught Python developers who want a more rigorous foundation before tackling AI engineering, data science, or web development.

Syllabus

Introduction 10 lessons
Lesson, preview: Why Python Preview Lesson, preview: Running examples Preview Lesson, locked: Projects Lesson, locked: Setup Lesson, locked: Running Python Lesson, locked: IPython Lesson, locked: Jupyter Notebooks Lesson, locked: Editor Lesson, locked: Using AI in this course Lesson, locked: Summary
Python Fundamentals 14 lessons
Lesson, locked: Introduction Lesson, locked: Variables and Types Lesson, locked: Data structures Lesson, locked: For loops Lesson, locked: f-strings Lesson, locked: Input Lesson, locked: Control flow Lesson, locked: While loop Lesson, locked: Available podcasts Lesson, locked: Filtering by podcast Lesson, locked: Summary and stats Lesson, locked: Functions and final menu Lesson, locked: Full working code Homework, locked: Homework: Open source project tracker
More Python Fundamentals 13 lessons
Lesson, locked: Introduction Lesson, locked: Search by keyword Lesson, locked: Search function Lesson, locked: Description previews Lesson, locked: Filter by category Lesson, locked: Refactoring Lesson, locked: Shorten podcast names Lesson, locked: Compare categories across podcasts Lesson, locked: Total listening time Lesson, locked: Group by podcast Lesson, locked: Show grouped stats Lesson, locked: Rankings Lesson, locked: Putting it all together
Functions and Code Organization 8 lessons
Lesson, locked: From notebook to script Lesson, locked: Extract the data module Lesson, locked: Extract the display module Lesson, locked: Extract the filters module Lesson, locked: Guard the entry point Lesson, locked: Run a command from the command line Lesson, locked: Dispatch all commands and pass arguments Lesson, locked: Replace `sys.argv` with argparse (optional)
Working with External Data 7 lessons
Lesson, locked: Introduction Lesson, locked: uv and packages Lesson, locked: Requests and HTTP Lesson, locked: Working with files Lesson, locked: JSON, CSV, and RSS Lesson, locked: Fetching and saving episodes Lesson, locked: Loading saved data back
Data Processing with Pandas
Robustness, Errors, and Testing
Object-Oriented Python
Intermediate Python and Beyond
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