Getting started with Gen AI using LlamaIndex for Beginners

About Getting started with Gen AI using LlamaIndex for Beginners

Welcome to this introductory course on LlamaIndex, a powerful tool for indexing and querying data using large language models such as OpenAI's API.

In this course, you will learn the basics of LlamaIndex and how to use it to index your data for various natural language processing tasks such as summarization, and question answering. You will also learn how to perform queries on your indexed data and how to integrate LlamaIndex with different LLM models.

The course is designed for beginners with some prior knowledge of Python programming. You should be comfortable writing and understanding basic Python code and be familiar with package installers such as pip and development environments such as Visual Studio Code.

The course is designed for beginners and no prior knowledge of LlamaIndex or natural language processing is required. Through a series of hands-on exercises and practical examples, you will gain a solid understanding of LlamaIndex and its capabilities.

By the end of this course, you will be able to:

Understand the basics of LlamaIndex and its architecture

Index your data for various natural language processing tasks

Perform queries on your indexed data

Learn about the Indexing storage

Learn to pass custom LLM model

Learn to integrate with Vector Database

Learn to integrate with UI platforms (Streamlit, Chainlit etc..)

Enroll now and start your journey with LlamaIndex!

The LLM space is continuously evolving and so does the underlying frameworks, so don't be surprised with new additions ! Just stay tuned !