ONLINE COURSE ON

Source: https://cce.iisc.ac.in/cce-proficience/large-language-models-a-hands-on-approach-mj-2026/ Parent: https://cce.iisc.ac.in/cce-proficience/

LARGE LANGUAGE MODELS: A HANDS-ON APPROACH (3:1)

APPLY NOW

CCE-PROFICIENCE MAY – JULY 2026

Duration

3 months May -July 2026

Schedule

Wednesday and Friday

7PM to 8:30 PM

Lab timings: Tuesday and Thursday (7:00 PM 8.30 PM).

Course offered

Online

Exam Duration

31 July to 9 August 2026

Classes Start

~4 May 2026

Objectives of the Course

This course provides hands-on engineering of Large Language Models (LLMs), focusing on the challenges of building, optimizing, and deploying them. Students will cover the entire lifecycle from: Transformer foundations, GPU scaling,Inference optimization,Fine-tuning Retrieval-augmented generation (RAG) Agentic tool use,Deployment on edge devices, Students will learn through real-world case studies, labs, and projects. By the end, students will be equipped to design production-grade LLM systems for both research and industry applications.

Syllabus

Transformer Foundations, GPUs, Pretraining basics, inference optimization, quantization, fine-tuning, instruction tuning and alignment, reasoning, and alignment, retrieval-augmented generation, tool-use and agents, multimodal LLMs, evaluation and edge deployment.

Minimum Qualification required by the candidates

B.E/B.Tech/ M.Sc . (Computer Science)/ MCA

Pre-requisites

Basics of NLP , Deep Learning, Python Programming

Software/Hardware to be used for the Lab

Python, CUDA, Google Colab, AWS Sagemaker (Open source software’s)

Reference Books

• Hands-On Large Language Models: Language Understanding and Generation By: Jay Alammar,
• Maarten Grootendorst Large Language Models: A Deep Dive Bridging Theory and Practice By Uday Kamath et al
• Al Engineering by Chip Huyen
• Various technical blogs

DOWNLOAD BROCHURE

Know The Facilitators

Yoginder Kumar Negi

Supercomputer Education and Research Centre (SERC),

Indian Institute of Science, IISc Bangalore

Course Fee