Learn LlamaIndex by building FAST a real world generative ai LLM powered application LLM (Python)
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.
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).
Course Content
- Introduction –> 3 lectures • 13min.
- THE GIST of LlamaIndex Get started with your “hello world” LlamaIndex Script –> 3 lectures • 14min.
- Documentation helper –> 9 lectures • 1hr 34min.
- Prompt Engineering Thoery –> 7 lectures • 43min.
- LangChain –> 1 lecture • 3min.
- Wrapping Up –> 2 lectures • 10min.
- Useful tools when developing LLM Applications –> 2 lectures • 8min.
Requirements
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
- LLMs: Few shots prompting, Chain of Thought, ReAct prompting
- Retrieval Augmentation Generation
- Vectorstores (Pinecone)
- Node Parers- TextSplitters
- Streamlit (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 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 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.