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Tech SkillsPython LlamaIndex Mastery
ai-engineeringIntermediate

Python LlamaIndex Mastery

Build Production RAG Applications with LlamaIndex

40 hours
32 lessons
8 modules
0 enrolled

Master LlamaIndex from fundamentals to production. Learn to build powerful RAG systems, query engines, agents, and deploy scalable AI applications. Every lesson includes hands-on Python code challenges.

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What you'll learn

  • Hands-on coding challenges
  • Real-world project examples
  • Interview preparation tips
  • Best practices & patterns
Certificate on completion
Interactive code challenges

Course Syllabus

🚀
Module 1

LlamaIndex Fundamentals

Get started with LlamaIndex - understand the core concepts, set up your environment, and build your first query engine

4 lessons

~180 min

1

Introduction to LlamaIndex

4 steps · 20 min

2

Installation & Setup

4 steps · 20 min

3

Core Concepts: Documents, Nodes, Index

4 steps · 25 min

4

Your First Query Engine

4 steps · 25 min

📄
Module 2

Data Loading & Documents

Master loading data from various sources and transforming documents for optimal retrieval

4 lessons

~180 min

1

SimpleDirectoryReader

4 steps · 20 min

2

Loading PDFs, CSVs, and Web Pages

4 steps · 25 min

3

Document Transformations

4 steps · 20 min

4

Node Parsing Strategies

4 steps · 25 min

🗂️
Module 3

Indexing Strategies

Master different index types for optimal retrieval performance

4 lessons

~180 min

1

Vector Store Index

4 steps · 25 min

2

Summary Index

4 steps · 20 min

3

Keyword Index

4 steps · 20 min

4

Composable Indices

4 steps · 25 min

🔍
Module 4

Querying & Retrieval

Deep dive into query engines, retrievers, and response synthesis

4 lessons

~180 min

1

Query Engine Basics

4 steps · 20 min

2

Retriever Modes

4 steps · 20 min

3

Response Synthesis

4 steps · 20 min

4

Query Transformations

4 steps · 20 min

🏗️
Module 5

Building RAG Applications

Build production-ready RAG systems from start to finish

4 lessons

~180 min

1

End-to-End RAG Pipeline

4 steps · 25 min

2

Chat Engine Implementation

4 steps · 25 min

3

Context Window Management

4 steps · 25 min

4

Hybrid Search

4 steps · 25 min

🤖
Module 6

Agents & Tools

Build intelligent agents that use tools to accomplish complex tasks

4 lessons

~180 min

1

LlamaIndex Agents

4 steps · 25 min

2

Custom Tools

4 steps · 25 min

3

ReAct Agent

4 steps · 25 min

4

Multi-Document Agents

4 steps · 25 min

📊
Module 7

Observability & Evaluation

Monitor, trace, and evaluate your RAG systems

4 lessons

~180 min

1

Callbacks & Tracing

4 steps · 20 min

2

LlamaIndex Instrumentation

4 steps · 20 min

3

RAG Evaluation Metrics

4 steps · 20 min

4

Testing RAG Systems

4 steps · 20 min

🚀
Module 8

Production Deployment

Deploy and scale LlamaIndex applications in production

4 lessons

~180 min

1

Vector Store Integrations

4 steps · 25 min

2

Caching Strategies

4 steps · 25 min

3

Streaming Responses

4 steps · 25 min

4

Scaling Best Practices

4 steps · 25 min