AI

Foundations

• Math - Mathematical foundations: linear algebra, analysis, statistics, quantum mechanics
• Python - Python for AI

Paradigms

• Machine Learning - Traditional machine learning
• Deep Learning - Neural networks: foundations, architectures, attention mechanisms
• Reinforcement Learning - Reinforcement learning

Generative AI

• Large Language Model - LLM fundamentals, training, fine-tuning, RAG, and reasoning
• Prompt Engineering - Prompt engineering, prompts collection, and recipes
• Agent - AI agent architecture, patterns, tooling, and MCP