★ Approved by the CCE Committee, IISc Bengaluru ★ Est. 1975
CCE Home CCE-PROFICIENCE COURSES Large Language Models: A Hands-On Approach
CCE-PROFICIENCE COURSES · MAY – JULY 2026

Online Course on

Large Language Models: A Hands-On Approach

3:1 CREDITS ·MAY – JULY 2026

A structured online programme from IISc provides hands-on engineering of Large Language Models (LLMs), focusing on the challenges of building, optimizing, and deploying them.

Online IISc Grading Certificate Wed & Fri · 7 - 8:30 PM Prof. Yoginder Kumar Negi, IISc
3:1
CREDITS
₹23,954
TOTAL FEE
May – July 2026
DURATION
Online
MODE
COURSE DETAILS
Large Language Models: A Hands-On Approach
(May – July 2026)
Start Date4 May 2026
DurationMay – July 2026
ModeOnline
TimingsWed & Fri 7 - 8:30 PM
Credits3:1
Applications are now closed Download Brochure

Course at a Glance

Online
💻
SYNCHRONOUS CLASSES
4 May 2026
📅
CLASS START DATE
Wed & Fri
🕐
7:00 PM – 8:30 PM
3:0
🎓
CREDITS
Certificate
📜
IISc Grading Certificate
₹23,954
💰
TOTAL (INCL. GST)

Know the Course Instructor

Prof. Yoginder Kumar Negi

Prof. Yoginder Kumar Negi

SENIOR SCIENTIFIC OFFICER

He is currently working as a Senior Scientific Officer at SERC, IISc. He specializes in Computational Electromagnetics, focusing on fast and parallel scientific computing tools for solving complex electromagnetic problems. His research includes scalable matrix solvers, high-frequency integral equations, and antenna design using techniques such as MoM and FDTD, with applications like Radar Cross Section computation and antenna optimization.nnHe completed his Ph.D. at IISc Bangalore, M.Tech from Delhi University, and B.Tech from GGSIPU Delhi. Dr. [Your Name] serves as a reviewer for journals including ACES, IET Microwaves Antennas & Propagation, and PIERS, and was Secretary of the IEEE EPS Bangalore Chapter (2020–22).

SuperComputer Education and Research Centre (SERC), IISc Bengaluru

Objectives of the 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

Course Syllabus

01

Transformer Foundations

02

GPUs, Pretraining basics

03

Inference Optimization and Quantization

04

Fine-tuning and Instruction Tuning & Alignment

05

Reasoning and Alignment

06

Retrieval-Augmented Generation

07

Tool-Use and Agents

08

Multimodal LLMs

09

Evaluation and Edge Deployment

Who Can Apply & Who Can Benefit?

Who Can Apply?

  • B.E / B.Tech / M.Sc. (Computer Science) / MCA
  • Pre-requisites: Basics of NLP, Deep Learning, Python Programming

Who Can Benefit?

  • AI/ML practitioners and Data scientists
  • Software engineers and developers
  • Researchers and students in Computer Science or related fields
  • Professionals working on NLP, chatbots, or AI-driven systems
  • Anyone interested in understanding cutting-edge LLM concepts

Course Fee

Fee Breakup
May – July 2026
Course Fee ₹20,000
Application Fee ₹300
GST @ 18% ₹3,654
Total (incl. GST) ₹23,954

Class Schedule

DATE
4 May 2026
CLASS START DATE
DAYS
Wed & Fri
DAYS OF CLASS
TIME
7 - 8:30 PM
CLASS TIMINGS
MODE
Online
MODE OF INSTRUCTION
DUR
May – July 2026
COURSE DURATION

Reference Books

1
Hands-On Large Language Models: Language Understanding and Generation
Jay Alammar
2
Maarten Grootendorst Large Language Models: A Deep Dive Bridging Theory and Practice
Uday Kamath
3
Al Engineering by Chip Huyen
4
Various technical blogs

Semester Runs

Jan-May 2026
– 01 Jun 2026
190 Enrolled
118 Certified
Completed
🏆 Course Toppers — Jan-May 2026
19 Toppers
🥇
1
S
SUHAS NAGARAJ
Student
A+
🥈
2
B
BALASUBRAMANIAN W V
Student
A+
🥉
3
R
RAJIB MANDAL
Student
A+
4
P
PARAMANANDA PONNAIYAN
Student
A+
5
S
SUMANTH SHARMA S M
Student
A+
6
S
SAGAR KUMAR JHA
Student
A+
7
P
PEEYUSH PANDEY
Student
A+
8
N
NISHANT KUMAR
Student
A+
9
S
SHIVA PRASAD KATTA
Student
A+
10
T
THRIUMAL R
Student
A+
11
R
RAZEE MARIKAR
Student
A+
12
S
SHARATH KUMAR K P
Student
A+
13
N
NAMITA BIPIN
Student
A+
14
S
SUNDARA RAMAN NARAYANAN
Student
A+
15
S
SHIKHA DAWER
Student
A+
16
N
NEERAJ RAWAT
Student
A+
17
M
MOHAN KUMAR CHOUDHARY
Student
A+
18
S
SHUBHA KUMARI K
Student
A+
19
G
GEETHAPRIYA G H
Student
A+

Ready to Enroll?

Apply online at iisc.online · New batches every semester

Applications are now closed Download Brochure