LlamaIndex- Develop LLM powered applications with LlamaIndex

LlamaIndex- Develop LLM powered applications with LlamaIndex, available at $84.99, has an average rating of 4.26, with 41 lectures, based on 493 reviews, and has 5623 subscribers.

You will learn about 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) This course is ideal for individuals who are Software Engineers that want to learn how to build Generative AI based applications with LlamaIndex or Backend Developers that want to learn how to build Generative AI based applications with LlamaIndex or Fullstack engineers that want to learn how to build Generative AI based applications with LlamaIndex It is particularly useful for Software Engineers that want to learn how to build Generative AI based applications with LlamaIndex or Backend Developers that want to learn how to build Generative AI based applications with LlamaIndex or Fullstack engineers that want to learn how to build Generative AI based applications with LlamaIndex.

Enroll now: LlamaIndex- Develop LLM powered applications with LlamaIndex

Summary

Title: LlamaIndex- Develop LLM powered applications with LlamaIndex

Price: $84.99

Average Rating: 4.26

Number of Lectures: 41

Number of Published Lectures: 41

Number of Curriculum Items: 41

Number of Published Curriculum Objects: 41

Original Price: $199.99

Quality Status: approved

Status: Live

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)

Who Should Attend

Software Engineers that want to learn how to build Generative AI based applications with LlamaIndex
Backend Developers that want to learn how to build Generative AI based applications with LlamaIndex
Fullstack engineers that want to learn how to build Generative AI based applications with LlamaIndex

Target Audiences

Software Engineers that want to learn how to build Generative AI based applications with LlamaIndex
Backend Developers that want to learn how to build Generative AI based applications with LlamaIndex
Fullstack engineers that want to learn how to build Generative AI based applications with LlamaIndex

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What is Llamaindex

Lecture 3: Course's discord server

Chapter 2: THE GIST of LlamaIndex Get started with your "hello world" LlamaIndex Script

Lecture 1: Project Setup (Pycharm)

Lecture 2: Your First LlamaIndex Index

Lecture 3: Quick Check In

Chapter 3: Documentation helper

Lecture 1: What are we building?

Lecture 2: Retrieval Augmentation Generation (RAG) Theory: Vectorstores, Embeddings

Lecture 3: Downloading the LlamaIndex Documentation

Lecture 4: Setting up our development environment

Lecture 5: LlamaIndex core abstractions: Pipeline imported classes

Lecture 6: Loading and Chunkifying the LlamaIndex docs into LlamaIndex nodes

Lecture 7: Ingestion the LlamaIndex nodes in Pinecone vectorstore

Lecture 8: QueryEngine & Retrieval Augmentation with LlamaIndex

Lecture 9: Streamlit Frontend

Lecture 10: Citations and Listing source nodes

Lecture 11: Node Post Processors- SentenceEmbeddingOptimizer, DuplicatePostProcessor

Chapter 4: LlamaIndex Implementation- Under the hood and internals

Lecture 1: Under the hood- Retrieval

Lecture 2: Under the hood- Augmentation Generation

Chapter 5: LlamaIndex ReAct Agents

Lecture 1: Introduction to agents

Lecture 2: Setting up agent development environment

Lecture 3: Our First Agent – Haiku Agent

Lecture 4: Operating System Agent

Lecture 5: LlamaIndex ReAct internals – Under the hood

Lecture 6: Agents In Production

Lecture 7: LlamaIndex Function Calling Agent

Chapter 6: Prompt Engineering Thoery

Lecture 1: The GIST of LLMs

Lecture 2: What is a Prompt? Composition of a formal prompt

Lecture 3: Zero Shot Prompting

Lecture 4: Few Shot Prompting

Lecture 5: Chain of Thought Prompting

Lecture 6: ReAct

Lecture 7: Prompt Engineering Quick Tips

Chapter 7: Troubleshooting Section

Lecture 1: Have a technical issue? WATCH THIS FIRST. I Promise this will help!

Lecture 2: LlamaIndex Latest- Upgrading code to

Chapter 8: LangChain

Lecture 1: What is LanChain + LangChain Course Coupons

Chapter 9: Wrapping Up

Lecture 1: LLM Application Development landscape

Lecture 2: Finished course? Whats next!

Chapter 10: Useful tools when developing LLM Applications

Lecture 1: LangChain Hub – Downloads prompt from the community

Lecture 2: TextSplitting Playground

Lecture 3: LlamaIndex VS LangChain

Instructors

Eden Marco | LLM Specialist
Best Selling Instructor

Rating Distribution

1 stars: 10 votes
2 stars: 8 votes
3 stars: 42 votes
4 stars: 163 votes
5 stars: 270 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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