LlamaIndex– Develop LLM powered applications with LlamaIndex

Learn LlamaIndex by building FAST a real world generative ai LLM powered application LLM (Python)
What you'll 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)
Requirements
This is not a beginner course. Basic software engineering concepts are needed
I assume students will be familiar software engineering subjects such as: git, python, pipenv, environment variables, classes, testing and debugging
No Machine Learning experience is needed.
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. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts.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:LlamaIndexLLMs: Few shots prompting, Chain of Thought, ReAct promptingRetrieval Augmentation GenerationVectorstores (Pinecone)Node Parers-  TextSplittersStreamlit (for UI)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 meGithub links with additional AI resources, FAQ, troubleshooting guidesAccess to an exclusive Discord community to connect with other learners No extra cost for continuous updates and improvements to the courseDISCLAIMERSPlease 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 IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts.The first project of the course (Ice-Breaker) requires usage of 3rd party APIs-ProxyURL, SerpAPI, Twitter API  which are generally paid services.All of those 3rd parties have a free tier we will use to create stub responses development and testing.
Who this course is for
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


LlamaIndex– Develop LLM powered applications with LlamaIndex Fast Download
LlamaIndex– Develop LLM powered applications with LlamaIndex Full Download