GenAI Roadmap

Generative AI & LLM Applications

Learn Generative AI from LLM fundamentals to production-ready applications using prompt engineering, APIs, embeddings, RAG, LangChain, AI agents, and real-world projects.

Chapter 1

Introduction to Generative AI

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 2

AI vs Machine Learning vs Deep Learning vs GenAI

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 3

Generative AI Use Cases

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 4

Introduction to Large Language Models

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 5

How LLMs Work

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 6

Tokens & Tokenization

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 7

Context Windows

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 8

LLM Parameters

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 9

Temperature & Top-P

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 10

Pre-trained vs Instruction-tuned Models

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 11

Open-Source vs Closed-Source LLMs

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 12

Introduction to Prompt Engineering

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 13

Prompt Structure

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 14

Zero-Shot Prompting

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 15

Few-Shot Prompting

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 16

Role & Instruction-based Prompting

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 17

Chain-of-Thought & Reasoning Concepts

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 18

Structured Output & JSON

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 19

Prompt Templates

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 20

LLM APIs

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 21

Working with OpenAI APIs

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 22

Working with Groq APIs

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 23

Working with Hugging Face Models

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 24

Building LLM Applications with Python

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 25

Introduction to LangChain

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 26

LangChain Model Component

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 27

LangChain Prompt Component

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 28

LangChain Chain Components

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 29

LangChain Index Components

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 30

LangChain Memory

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 31

LangChain Agents

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 32

Embeddings

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 33

Vector Databases

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 34

FAISS

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 35

ChromaDB

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 36

Pinecone

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 37

Introduction to RAG

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 38

Document Loading

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 39

Text Splitting & Chunking

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 40

Embedding & Indexing

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 41

Retrieval

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 42

Context Injection

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 43

Building a RAG Pipeline

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 44

RAG Evaluation

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 45

Advanced RAG Techniques

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 46

Introduction to AI Agents

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 47

Tools & Tool Calling

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 48

Agent Workflows

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 49

Multi-Agent Systems

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 50

Fine-Tuning LLMs

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 51

LoRA & PEFT

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 52

LLM Evaluation

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 53

Hallucination & Guardrails

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 54

GenAI Application Deployment

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 55

GenAI Interview Questions

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.

Chapter 56

End-to-End GenAI Projects

Practical explanations, hands-on implementations, LLM examples, GenAI workflows, interview questions, and real-world projects.