What you will practise
- Python, NumPy, Pandas, SQL, and data preparation
- Supervised learning, evaluation, and error analysis
- LLM application basics, retrieval, prompts, and safety
- One guided portfolio project with a documented approach
AI / ML training
Learn AI and ML through
practical projects.
A structured path for developers who want to build, evaluate, and explain machine-learning and LLM applications responsibly.
Who it is for
Developers and analysts with basic Python who want a practical foundation before specialising in data science, machine learning, or applied AI.