1. Introduction to LLMs (Preview)

Dr. Ahmed Khaled • 15:30 min

Course Episodes

Introduction to LLMs (Preview)

2

The Transformer Architecture

35:20 min

3

Tokens and Embeddings Deep Dive

28:15 min

4

Fine-Tuning Fundamentals

22:15 min

5

LoRA and PEFT Techniques

40:50 min

6

Building RAG Applications: The Vector DB

30:00 min

7

Chunking Strategies for RAG

25:10 min

8

Retrieval Optimization Methods

42:30 min

9

Agentic Frameworks (LangChain & AutoGen)

35:00 min

10

Building Multi-Agent Systems

38:15 min

11

Evaluating Model Output (RAGAS)

29:40 min

12

Model Quantization (GGUF, AWQ)

31:20 min

13

Model Deployment (Production)

25:40 min

14

Scaling AI Infrastructure

20:15 min