Overview
Syllabus
Introduction -
1 LLM -
2 Parameter -
3 Inference -
4 Prompt -
5 Prompt Engineering -
6 System Message -
7 Token -
8 Context Window -
9 Context Engineering -
10 Prompt Injection -
11 Guardrails -
12 Hallucination -
13 RAG -
14 Chunking -
15 Embedding Vector -
16 Semantic Search -
17 Vector Database -
18 Hybrid Search -
19 Evals -
20 Golden Dataset -
21 AI Agent -
22 Agentic AI -
23 MCP -
24 A2A -
25 Multi-agent System -
26 Fine-tuning -
27 SLM -
28 Train-time Compute -
29 Test-time Compute -
30 Reasoning Models -
100 AI Terms Guide -
Taught by
Shaw Talebi