Hands-on technical labs. Python, Data Science, AI.
Learn solo, with your team, or integrate a module into your curriculum. Labs that produce concrete, verifiable results — professional environment, AI-assisted.
Advanced students · Professionals · Training organizations
What we bring
A Coding Park Academy module is more than a curriculum.
- Labs on concrete problems with real data and a result to interpret
- A preconfigured technical environment accessible from any browser
- An experienced practitioner from the industry
- An AI-assisted pedagogical tracking system
- Complete visibility into learner progress
Your learners start coding in seconds, with no installation or prior configuration.
The modules
Each module is a complete program, from content to technical environment.
Python for AI & Data Science
Python, NumPy, Pandas, Matplotlib, scikit-learn. A complete path from exploratory analysis to machine learning, grounded in real-world use cases.
Bachelor's · Master's · MSc Data · Retraining programs
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Modern Data Engineering
Python, SQL, REST APIs, Apache Kafka, Docker. From ETL pipelines to event-driven architecture, with a pre-configured Kafka environment.
Master's · MSc Data Engineering · Engineering schools
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Software Engineering with Python
Clean code, Git, testing, FastAPI, Docker, CI/CD. Industry practices to train developers who can actually ship.
Bachelor's · Master's · Engineering schools · Bootcamps
View module →What sets Coding Park Academy apart
Concrete labs, verifiable results
Every lab produces something that actually works — a classifier that predicts correctly, an analysis that outputs real numbers, a pipeline that runs. Proof of skill isn't a certificate, it's the result visible at every session.
Technical environment included
Pre-configured Jupyter environment, Docker Kafka setup, session-structured notebooks. Zero installation for your students, zero involvement from your IT department.
AI-assisted pedagogical tracking (Luna)
Luna monitors learner activity, detects blockers, asks targeted questions and validates understanding at key milestones. What is measured is what the student understood.
Instructor dashboard
Per-student progress, time spent, detected blockers, checkpoint progression. Full visibility to step in at the right moment.
Programs built from real-world cases encountered in these organizations.
Individual access
Start by exploring the catalog
Python, Data Science and AI labs. Some labs available for free, full access by subscription. No mandatory linear curriculum — start with the lab that interests you.
Looking to add a module to your curriculum?
Describe your context, the module you're interested in, and your timeline. We get back to you within 48h.