> For the complete documentation index, see [llms.txt](https://tryst-iit-delhi.gitbook.io/llm-course/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://tryst-iit-delhi.gitbook.io/llm-course/welcome-to-the-bootcamp.md).

# Welcome to the Bootcamp

We are about to embark on a short but exciting journey into the realm of Large Language Models (LLMs)!

<figure><img src="/files/OYuC2TMZ6r4xAhOVTZe6" alt=""><figcaption></figcaption></figure>

This bootcamp, offered at no cost as a cohort-based course, is designed to be your all-encompassing tutorial for mastering and creating RAG (Retrieval-Augmented Generation) applications, leveraging the capabilities of Large Language Models (LLMs) and live/real-time data streams.

If this concept seems daunting, that's perfectly okay. By the time you complete this bootcamp, you will have a deep appreciation for these advanced techniques and technologies, and be equipped to develop a significant open-source project independently!

:star: **Please make sure** to finish your [registration on Unstop](https://unstop.com/workshops-webinars/pathway-challenge-tryst-iit-delhi-942498). &#x20;

**This course is offered as a collaborative initiative** by DevClub and CAIC (Co-curricular and Academic Interaction Council) at the Indian Institute of Technology Delhi (IIT Delhi) in collaboration with Pathway, a French research company and the makers of the world's fastest data processing engine.

**In the Next Module:**\
You will explore the structure of the course, get acquainted with its creators, understand what you can gain from participating, and understand your role as a learner.