Level up from Python basics to writing powerful, real-world Python for data, AI, and automation. Master classes and dataclasses, comprehensions and generators, decorators, context managers, robust error handling, type hints, packaging, working with files and APIs, and a practical intro to async. Hands-on examples and a free certificate of completion.
Advanced Python Programming is the next step for anyone who has finished Python basics and wants to write code that holds up in real data, AI, and automation work. Instead of re-teaching variables and loops, this free course focuses on the skills that separate a beginner script from professional Python: well-designed classes and dataclasses, comprehensions and memory-saving generators, decorators, context managers, robust error handling, type hints, and a practical introduction to async.
Every lesson is short and self-contained, ending in a clear takeaway and a hands-on Python playground you can run in your browser. The examples lean toward the work you actually do: cleaning datasets, wrapping model calls, streaming large files, calling APIs, and keeping projects reproducible with virtual environments and pinned dependencies. You will leave able to read the advanced Python in real AI libraries and write your own with confidence.
This course is ideal for students and self-taught learners moving from beginner to intermediate Python, especially those applying Python to their own field of study or work. It is 100% free, needs no prior advanced experience beyond the basics, and awards a free certificate of completion you can add to your LinkedIn and resume.
4 modules • 11 lessons
Finish every lesson and pass the final exam to earn this free, shareable certificate.
Verify
June 15, 2026
This certifies that
has successfully completed the course
Sample preview. Your name appears on the certificate when you complete the course. Learn more
It is for learners who already know Python basics (variables, loops, functions, and basic types) and want to write more powerful, real-world code. If you finished a beginner Python course or our Python for AI & Data Science course, this is the natural next tier.
No. The course is built for students and self-taught learners who apply Python to their own field, with examples drawn from data, AI, and automation rather than web or backend career tracks.
You will be comfortable writing classes and dataclasses, using generators and comprehensions, building decorators and context managers, handling errors robustly, adding type hints, managing dependencies, and calling files and APIs, plus a working understanding of async.
Yes. The course is 100% free with no paywall, and you earn a free certificate of completion after passing the final exam, which you can add to your LinkedIn and resume.
Yes. Most lessons include an interactive Python playground that runs in your browser, so you can edit and run the examples without setting up Python locally first.
Already know basic Python? Build one real thing end to end: a small AI data app that loads a dataset, sends a slice of it to a language model, and turns the response into a written analysis. You will use pandas only as much as the app needs, call an LLM API directly (no agents, no frameworks), wire the pieces into a single script with real error handling, and ship it as a shareable Streamlit app you can run locally. A project-based intermediate course with a free certificate of completion.
Learn Python from zero with a focus on AI and data science. Master the language essentials, then use ChatGPT, Claude, and Gemini as coding tutors while you build real projects with NumPy, pandas, matplotlib, and scikit-learn. Perfect for university students and early-career learners. No prior coding required, and you earn a free certificate to add to your LinkedIn and resume.
Master web scraping techniques using Python. Learn to extract data from websites using BeautifulSoup and Selenium, handle pagination, deal with anti-scraping measures, and build production-ready data pipelines while following ethical practices.
Master npm and JavaScript package management from the ground up. Learn package.json configuration, dependency management, semantic versioning, npm scripts, and security best practices. Essential knowledge for any JavaScript developer.
Learn the spec-first method for building software with AI coding agents. Write specs with acceptance criteria, edge cases, and constraints, structure context for any agent, verify output against the spec with tests, iterate on failures, and know when to hand-code. Tool-agnostic across Claude Code, Cursor, Copilot, Devin, and any agent.
Master data analysis with Pandas through hands-on exercises. Learn to create, manipulate, filter, group, and transform DataFrames in your browser. Practice real-world data wrangling with live Python execution.
