From Tokens to Transformers : A Course on GenAI x LLM Mastery

About the Challenge

From Tokens to Transformers: A Course on GenAI x LLM Mastery is a free, four-week online course organized by the Consulting & Analytics Club, IIT Guwahati, designed to introduce participants to Natural Language Processing (NLP), Generative AI (GenAI), and Large Language Models (LLMs). The program takes learners from the foundations of working with text to understanding how LLMs work and how they are trained, before exploring Retrieval-Augmented Generation (RAG), AI agents, and Multi-Agent Systems (MAS). Designed for students and professionals interested in understanding and building with language models, the course combines three weeks of structured learning with one week dedicated to a practical capstone project. Participants will learn through self-paced modules, weekly assignments, industry expert sessions, and a Discord community for discussions and doubt clearing.

Course Website: Coming Soon

Discord Community: Coming Soon

Objectives

- Introduce participants to the fundamentals of NLP and text representation. - Build an understanding of attention, transformers, and large language models. - Explain the foundations of LLM pretraining, fine-tuning, and text generation. - Introduce practical approaches to building applications with RAG and AI agents. - Explore how multiple agents can collaborate to complete tasks. - Help participants apply their learning through weekly assignments and a capstone project.

Why Participate?

- Learn Modern GenAI & LLM Skills: Explore NLP fundamentals, tokenization, word embeddings, attention mechanisms, and transformer architecture. Learn about LLM pretraining, fine-tuning, prompting techniques, RAG (document chunking, embeddings, retrieval), AI agents, tool use, and MAS. Understand basic evaluation of LLM applications and common limitations. - Hands-on Learning Experience: Complete weekly assignments, practical exercises, and a capstone project applying the concepts covered in the course. - Industry Exposure: Attend speaker sessions by industry experts. - Community Environment: Learn alongside peers, ask questions, discuss concepts, and exchange ideas in the dedicated Discord community. - Certifications: Certificates will be provided as part of the course, with details on categories and eligibility shared with participants.

Eligibility & Prerequisites

- Eligible Participants: Students interested in AI, working professionals, developers, data science and machine learning enthusiasts, analysts, consultants, and beginners. - No Restrictions: There are no restrictions based on college, institution, branch, discipline, or academic/professional background. - Prerequisites: Basic familiarity with Python is recommended to help participants follow the practical exercises; no prior knowledge of NLP or LLMs is expected. Participants must bring curiosity, a willingness to engage with coding exercises, and a commitment to complete the assignments and project.

Course Structure & Timeline

The course is fully online and features self-paced learning within a weekly schedule.

Date / Week

Learning Focus & Events

28 Sep 2026

Course launch and Week 1 content release: NLP Foundations (text preprocessing, tokenization, embeddings, language modeling basics).

4 Oct 2026

Week 1 assignment submission deadline.

5 Oct 2026

Week 2 content release: Transformers & LLMs (attention, transformer architecture, text generation, pretraining, fine-tuning, prompting).

11 Oct 2026

Week 2 assignment submission deadline.

12 Oct 2026

Week 3 content release: RAG & Agentic Applications (retrieval pipelines, grounding responses, AI agents, tool use, multi-agent collaboration, evaluation).

18 Oct 2026

Week 3 assignment submission deadline.

19 Oct 2026

Capstone project begins: Apply learned concepts to a practical GenAI problem bringing together language models, retrieval, or agent workflows.

25 Oct 2026

Capstone submission deadline and course conclusion.

Frequently Asked Questions

• Is there any restriction based on background, branch, or college? No. Learners from all colleges, branches, and academic or professional backgrounds are welcome. Basic familiarity with Python is recommended for the practical components.
• Is this a certification course? Yes. Certificates will be provided. Details of certificate categories and eligibility requirements will be shared with participants.
• Is there a community where participants can connect with others? Yes. A Discord community will be available for doubt clearing, course discussions, and interaction with fellow learners.
• Do I need prior coding experience? Basic familiarity with Python is recommended to follow the practical exercises. No prior knowledge of NLP or LLMs is expected; the course begins with NLP foundations.
• Is the course free? Yes. From Tokens to Transformers: A Course on GenAI x LLM Mastery is free to join.
• What is the format of the course? The program consists of three weeks of self-paced theory and practical learning, followed by one week dedicated to a capstone project. It runs online from 28 September to 25 October 2026.
• Will there be practical projects? Yes. Participants will complete weekly assignments and a final capstone project that applies concepts from the course to a practical GenAI problem.
• Are there live sessions during the program? Yes. Speaker sessions with industry experts will take place during the program. Session dates and timings will be communicated separately.
• Who should enroll in this course? The course is suited to students, developers, working professionals, and AI enthusiasts who want a structured introduction to NLP, LLMs, RAG, and multi-agent systems, together with opportunities to apply these concepts.