References
Fundamentals of AI
Twitter
LinkedIn
1
cover.html
Preface
Foundations — The Genesis of Modern AI
2
From Synapses to Silicon: The Genesis of Modern AI
Part I — Understanding AI
3
Introduction to AI Agents
4
How LLMs Work in Real Time
5
Embeddings & Vector Representations
6
How LangChain Works
Part II — Your First Hands-On Labs
7
Practice Lab: Your First AI API Call
8
Practice Lab: LangChain
Part III — Prompt Engineering
9
Prompt Engineering Techniques
10
Practice Lab: Master Prompt Engineering
Part IV — Vector Databases & Semantic Search
11
Vector Databases Deep Dive
12
Practice Lab: Build a Semantic Search Engine
Part V — Retrieval Augmented Generation
13
RAG: Retrieval Augmented Generation
14
Practice Lab: RAG Implementation
Part VI — Advanced AI Workflows
15
LangGraph for AI Workflows
16
Practice Lab: Build a Stateful AI Workflow
17
Model Context Protocol (MCP)
18
Practice Lab: Advanced MCP Concepts
19
Conclusion: Your AI Journey Continues
References
References
Code
19
Conclusion: Your AI Journey Continues
Source Code
# References {.unnumbered}
::: {#refs}
:::