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

# Welcome to the course. Bienvenue!

Embark on your thrilling adventure into the realm of Large Language Models (LLMs)!

<figure><img src="/files/10PduvqyjpNkWmhCkJua" 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, not only will you have a deep appreciation for these advanced techniques and technologies, but you'll also be equipped to develop a significant open-source project independently!

:star: **Please make sure** to finish your[ registration here](https://docs.google.com/forms/d/e/1FAIpQLSfksYPTgbpilb6-V3xxL6ywDqdS_dXvU5ebj2TQngs_OAJJGQ/viewform) and star the GitHub repositories mentioned below. We will be referring back to these resources throughout the course.

* <https://github.com/pathwaycom/pathway>
* <https://github.com/pathwaycom/llm-app>

**This course is offered as a collaborative initiative** by the Programming Club at IIT Kanpur, the Club of Programmers at IIT (BHU) Varanasi, the SnT Council at IIT (BHU) Varanasi, and Pathway.&#x20;

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