CSE473 — Large Language Models And Agentic Ai
Study Units
My Weak QuestionsFoundations of LLMs and Agentic Systems
Prompt Engineering, Reasoning and Agent Architectures
Learning, Adaptation and Fine-Tuning for LLMs and Agents
Retrieval-Augmented Generation and Multi-Agent Collaboration
LLM-Driven Agents and Generative Workflows
Evaluation, Safety and Deployment of LLM and Agentic Systems
Continuous Assessment
3 components
Students are required to create an LLM/Agentic solution to solve a real-world problem statement.
Week 3 / 11
Rubric
Innovation/benefit to society and prospective outcomes such as publication, patent, or revenue: 10 marks; project quality and completeness in terms of technical skills: 10 marks; report, presentation, and viva Q&A: 10 marks.
Test will be based on Multiple-Choice Questions from the topics covered in Unit-1 and Unit-2 of the syllabus.
Week 4 / 5
Rubric
To evaluate learning of students based on their understanding and application of concepts learned.
Subjective Test covering syllabus from Units-1 through Unit-3.
Week 11 / 12
Rubric
To test the subject knowledge of the students and provide opportunity to improve their CA performance in case of low marks or any missed CA.
Exams & Practice
End Term Examination
Final semester comprehensive evaluation
50%Type: Examination
All MCQ
CSE473 - FAQs
How many units are in CSE473?
CSE473 has 6 units. Each unit includes detailed notes and MCQ practice questions.
What exam resources are available for CSE473?
Unit-wise notes and MCQ practice are available. Exam resources coming soon.
How to prepare for CSE473 exams?
Study each unit's notes thoroughly, practice MCQs to test understanding, and attempt mock tests before exams. Focus on important topics and previous year questions.