Generative AI and Large Language Models

By Naveen Kumar Bhansali | Indian Institute of Management Bangalore (IIMB)

Learners enrolled: 4743

Overview:

Generative Al has emerged as a game-changer for companies grappling with the challenges of unstructured data and content generation. In today's data-driven landscape, various business sectors, such as IT companies, financial corporations, healthcare organizations, and manufacturing firms etc., rely heavily on large volumes of diverse textual data, images, audio, video etc. With the increasing demand for cross-lingual capabilities, Generative Al has gained paramount importance. Generative Al is the backbone of transformative technologies like language models and creative content generation shaping industries such as media, entertainment, marketing, and research. This comprehensive course on Generative Al comprises of three main components: Fundamental Concepts of Generative Al, Applications of Generative Al, and Deep Learning for Generative Al. Students will gain profound insights into all three components, mastering algorithms that enable machines to create content, simulate human behavior, and generate imaginative solutions. Embrace the future of Al innovation and unlock limitless possibilities with Generative Al. Several case studies will be used to demonstrate the application of these concepts in business context.

Objective:

Introduction to Generative Al and Large Language Models (LLMs).
Transformers Architecture: Understanding the key components and its role in language generation.
Prompt Engineering and Instruction Fine-Tuning: Techniques to guide LLMs in generating desired outputs.
Parameter Efficient Fine-Tuning (PEFT) for optimized model adaptation.
Reinforcement Learning with Human Feedback: Enhancing LLM performance through human interaction.
LLM-powered Applications: Text and Image Generation, creative applications, and more.
Retrieval-Augmented Generation (RAG) and its potential.
Generative Image Models such as AutoEncoders, GANs, Diffusion Models, OpenAl CLIP etc.
LangChain: Framework for developing applications using LLMs.
Training & Deployment Strategies for LLMs.
Responsible Al in Generative Al: Ethical considerations and mitigating biases.
Use Cases & Case Studies: Real-world applications of Generative Al and LLMs".

Summary

Course Status :	Ongoing
Course Type :	Core
Language for course content :	English
Duration :	8 weeks
Category :	Management Studies
Credit Points :	3
Level :	Postgraduate
Start Date :	24 Jan 2025
End Date :	30 Apr 2025
Enrollment Ends :	28 Feb 2025
Exam Date :	24 May 2025 IST
Translation Languages :	English
NCrF Level	6.5
Industry Details :	Technology (High-tech)
Exam Shift :	2

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1: Natural Language Processing

Week 2: Sequential Data, RNNs, Encoder Decoder Model

Week 3: Attention Mechanism

Week 4: Introduction to Generative AI

Week 5: Introduction to Large Language Models

Week 6: Generative AI Project Lifecycle

Week 7: Responsible AI

Exam Schedule

Books and references

"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Third

Edition and other reference shared in seprate document"

Instructor bio

Naveen Kumar Bhansali

Indian Institute of Management Bangalore (IIMB)

"Naveen Kumar Bhansali is a distinguished professional who holds

multiple key roles in the field of artificial intelligence, data science

and big data. He is not only the Co-founder and CTO of BlitzAI, but

also an adjunct faculty at IIM Bangalore, with multiple decades of

experience as AI advisory consultant, big data solution architect,

and data scientist for clients in diverse industries globally,

including finance, insurance, healthcare, telecom, retail, FMCG, e-

commerce, and IT-Exchange and Storage.

In addition to his extensive industry experience, he is also an

active contributor to the analytics community in India. He

currently serves as the Vice President of the Analytical Society of

India, which is the first and largest body of analytics professionals

and organisations in the country. Furthermore, he has earned the

Chartered Financial Analyst (CFA) level 2 certification, showcasing

his expertise in the field of finance.

Apart from his professional roles, he is also the Director of R&N

Capital Market Pvt. Ltd., a company specialising in stock broking

and capital market analysis. His multifaceted background and

diverse skill set make him a highly respected and accomplished

professional in the field of artificial intelligence, data science, and

finance."

Course certificate

Enrolling and learning from the course is free. However, if you wish to obtain a certificate, you must register and take the proctored exam in person at one of the designated exam centre’s. The registration URL will be announced when the registration form is open. To obtain the certification, you need to fill out the online registration form and pay the exam fee. More details will be provided when the exam registration form is published, including any potential changes. For further information on the exam locations and the conditions associated with filling out the form, please refer to the form.

Grading Policy:

Assessment Type	Weightage
Weekend Assessment	25%
Final Exam	75%

Certificate Eligibility:

40% marks and above in internal assessment (weekend assessment)
40% marks and above in the final proctored exam

Score	Type of Certificate
>=90	Gold
75 - 89	Silver
70 - 74	Bronze
40 - 70	Successfully Completed
<40	No Certificate

Sample Certificate:

Disclaimer: In order to be eligible for the certificate, you must register for enrolment and exams using the same email ID. If different email IDs are used, you will not be considered eligible for the certificate.

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