Learning references

We will prefer official documentation and primary educational material. Links are starting points, not substitutes for understanding and testing.

• Python for beginners
• Project Jupyter documentation
• Google Machine Learning Crash Course
• NumPy documentation
• pandas documentation
• scikit-learn User Guide
• PyTorch Tutorials
• Hugging Face Learn
• Types of AI, language models, and AI systems
• Evaluating generative AI systems
• NIST AI Risk Management Framework
• OWASP Top 10 for LLM Applications
• The Turing Way: reproducible research
• ROS 2 documentation
• Arduino documentation
• Raspberry Pi documentation
• Git documentation
• The AI exercise collection is maintained locally under AI exercises with matching Markdown lessons and notebooks.

When a lesson is expanded, it will identify the specific reference used, the access date where relevant, and any adaptations made for students.