CS6210: Selective Topics in Generative AI

Spring 2026 ยท Indian Institute of Technology, Patna

Course Credit (L-T-P-C): 3-0-0-3

Course Description

This graduate-level course provides an in-depth exploration of state-of-the-art topics in Generative Artificial Intelligence. Students will gain comprehensive knowledge of Large Language Models (LLMs), Diffusion Models, Vision-Language Models, and their applications. The course covers theoretical foundations, practical implementations, and emerging research directions in the field.

Schedule

  • Monday: 12:00-12:55 - LT002
  • Wednesday: 12:00-12:55 - R 502
  • Thursday: 12:00-12:55 - LT002

Course Resources & Communication

All course materials, assignments, and announcements are managed through Moodle. For queries and updates, use the channels below.

Course Moodle Official Syllabus WhatsApp Group Email Instructor Book Office Hours

Grading

  • Mid-term Exam: 20%
  • End-term Exam: 30%
  • Course Project: 50%

Lecture Materials

Based on 10-423/10-623 Generative AI, CMU

.pdf Lecture 1: Overview
.pdf Lecture 2: Overview (continued)
.pdf Lecture 3: TBA
.pdf Lecture 4: TBA
.pdf Lecture 5: TBA

More lectures will be added as the course progresses. Check back regularly for updates.

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