LlamaIndex- Develop LLM powered applications with LlamaIndex | Udemy


LlamaIndex- Develop LLM powered applications with LlamaIndex | Udemy
English | Size: 1.72 GB
Genre: eLearning

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)

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:

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.

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

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