ML Engineering
NLP (Natural Language Processing)
AI Engineering
Base knowledge
AI Base Concepts (LLM, Context Window, Transformer, Attention Layer, Self-attention)
Embeddings & Vectors (Vector DDBB, Vector search vs BM25)
How LLMs generate the next token (Sampling, Logits, Softmax layer, logprobs)
LLM Hyperparameters (temperature, top_p, top_k)
Data Grounding (RAG; fine-tuning)
Chunking (static vs semantic)
Protocols
MCP (Model Context Protocol), Skills & Instructions
Security
Prompt Engineering
Prompting Techniques
(my own) Prompt Templates
Hands-on
RAG hands-on implementation (with code)
Frameworks
LangChain
MAF (Microsoft Agent Framework)
IDEs
Github Copilot (Visual Studio)
Interact with Github Copilot
Advanced Copilot Features