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LlamaIndex Develop LLM Powered Apps [UPDATE - 2026] (Udemy.com)

[UPDATE - 2026]) Learn LlamaIndex by building FAST a real world generative ai LLM powered application LLM (Python)

4.6

5,753 reviews

Created by: Eden Marco

Last updated March 2026

What you will learn

Become proficient in LlamaIndex
Have an end to end working LlamaIndex based generative AI application
Prompt Engineering Theory: Chain of Thought, ReAct, Few Shot prompting and understand how LlamaIndex is built under the hood
Understand how to navigate inside the LlamaIndex opensource codebase
Large Language Models theory for software engineers
Vectorestores/ Vector Databases (Pinecone, FAISS,)
Retrieval Augmentation Generation (RAG)

Course Description

Welcome to first LlamaIndex Udemy course - Unleashing the Power of LLM!
This comprehensive course is designed to teach you how to QUICKLY harness the power the LlamaIndex library for LLM applications.
This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM solutions for a diverse range of topics.

Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python

In this course, you will embark on a journey from scratch to building a real-world LLM powered application using LlamaIndex.
We are going to do so by build the main application:

Documentation Helper- Create chatbot over a python package documentation. (and over any other data you would like)

The topics covered in this course include:

LlamaIndex
Retrieval Augmentation Generation
Vectorstores (Pinecone)
Node Parers- TextSplitters
QueryEngines, ChatEngines
Streamlit (for UI)
Agents, LLM Reasoning
ReAct
Output Parsers
LLMs: Few shots prompting, Chain of Thought, ReAct prompting

Throughout the course, you will work on hands-on exercises and real-world projects to reinforce your understanding of the concepts and techniques covered. By the end of the course, you will be proficient in using LlamaIndex to create powerful, efficient, and versatile LLM applications for a wide array of usages.

This is not just a course, it's also a community. Along with lifetime access to the course, you'll get:

Dedicated 1 on 1 troubleshooting support with me
Github links with additional AI resources, FAQ, troubleshooting guides
Access to an exclusive Discord community to connect with other learners
No extra cost for continuous updates and improvements to the course

DISCLAIMERS

Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python.
I will be using Pycharm/ VSCode IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts.

Intermediate Level

Time: 6.4h

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Instructor Details

Eden Marco

4.6 Rating
5,753 Reviews

I’m a passionate Software Engineer with years of experience in back-end development and cloud architecture. I was one of the first engineers at Orca Security, where I helped shape the company’s core technology, and today I work as a GenAI Architect at Google Cloud, helping organizations design and deploy advanced generative AI and cloud-native solutions.

I’m also proud to be a LangChain Ambassador, actively contributing to the open-source community and helping developers build powerful LLM applications using the LangChain ecosystem.

I hold a Bachelor’s degree in Computer Science from the Technion, and I’ve always had a deep passion for teaching and mentorship. I taught Functional Programming and Introduction to Computer Science at Reichman University, where I guided the next generation of software engineers.

My courses are built on real-world experience and designed to give you practical, production-ready skills