# Course Syllabus and Timelines

By the end of this course, you will:

* Be proficient in developing LLM-based applications for production applications from day 0.
* Have a clear understanding of LLM architecture and pipeline.
* Be able to perform prompt engineering to use generative AI tools such as ChatGPT.
* Create an open-source project on a real-time stream of data or static data.

## Module Release Timelines and the Coursework:



<table data-view="cards"><thead><tr><th>Module</th><th>Topics</th></tr></thead><tbody><tr><td><strong>1 – Basics of LLMs</strong></td><td><ul><li>What is generative AI and how it's different</li><li>Understanding LLMs</li><li>Advantages and Common Industry Applications</li><li>Bonus section: Google Gemini and Multimodal LLMs</li></ul><p>---<br><br>Release date: 6 March '24</p></td></tr><tr><td><strong>2 – Word Vectors</strong></td><td><ul><li>What are word vectors and word-vector relationships?</li><li>Role of context</li><li>Transforming vectors in LLM responses</li><li>Overview of Transformers Architecture</li><li>Bonus Resource: Transformers Architecture, Self-attention, Multi-head attention, and Vision Transformers</li></ul><p>---<br><br>Release date: 7 March '24<br></p></td></tr><tr><td><strong>3 – Prompt Engineering</strong></td><td><ul><li>Introduction and in-context learning</li><li>Best practices to follow: Few Shot Prompting and more</li><li>Token Limits</li><li>Prompt Engineering Exercise (Ungraded)</li></ul><p>--</p><p></p><p>Release date: 8 March '24<br></p></td></tr><tr><td><strong>Refresher Module</strong></td><td><ul><li>Overview of learnings so far sent over registered email address. </li><li>Release of bootcamp keynote session(s).</li></ul><p></p></td></tr><tr><td><strong>4 – RAG and LLM Architecture</strong></td><td><ul><li>Introduction to RAG</li><li>LLM Architecture Used by Enterprises</li><li>RAG vs Fine-Tuning and Prompt Engineering</li><li>Key Benefits of RAG for Realtime Applications</li><li>Bonus: Similarity Search for Efficient Information Retrieval</li><li>Bonus: Use of LSH + kNN and Incremental Indexing</li><li>Bonus: Forgetting in LLMs and Stream Data Processing (archived live interactions) </li></ul><p>--<br><br>Release date: 10th March '24</p></td></tr><tr><td><strong>5 – Hands-on Project</strong></td><td><ul><li>Installing Dependencies and Pre-requisites</li><li>Building a Dropbox RAG App using open-source </li><li>Building Realtime Discounted Products Fetcher for Amazon Users</li><li>Problem Statements for Projects</li><li>Project Submission</li></ul><p>--<br><br>Release date: 14th March '24<br><br>(Delayed)<br></p></td></tr><tr><td></td><td></td></tr></tbody></table>

### Note:&#x20;

Once the problem statements and the hands-on development module is released on the 12th of March 2024, the project submissions will be open till **25th March 2024, Monday 12 am IST.**

### What are Bonus Sections/Resources?&#x20;

Throughout the bootcamp, you'll come across various modules or links labeled as bonus resources. These are not compulsory for building a project by the end of the bootcamp or for attempting the quizzes. Nonetheless, they are high-quality resources that could enhance your understanding, although they might require additional prerequisites. Depending on your starting point and the pace at which you're progressing through the bootcamp, you can explore or bypass these bonus materials.



