Description

Open To Academicians from various institutions, research scholars pursuing doctoral or research, and post graduate students currently enrolled in P.G. programmes. Participants are expected to have an academic or research interest in the theme of the FDP

What you'll learn

Generative AI

Requirements

Course Content

18 sections • 0 lectures
Day : 1 Session 1 10:15 – 11:30 AM The Journey to Generative AI
Day : 1 Session 2 11:45 AM – 1:00 PM How LLMs Actually Work
Day : 1 Session 3 2:00 – 3:15 PM LLM Landscape Today — Models, Capabilities & Choices
Day : 1 Session 4 3:30 – 4:45 PM Prompt Engineering — The Most Practical Gen AI Skill
Day : 2 Session 1 10:15 – 11:30 AM Running LLMs Locally — Ollama & Privacy-First AI
Day : 2 Session 2 11:45 AM – 1:00 PM Fine-Tuning LLMs — Concepts & When It Makes Sense
Day : 2 Session 3 2:00 – 3:15 PM Multimodal AI — Vision, Audio, Video & Beyond Text
Day : 2 Session 4 3:30 – 4:45 PM AI Coding Assistants & Developer Productivity
Day : 3 Session 1 10:15 – 11:30 AM RAG Fundamentals — Why, What and How
Day : 3 Session 2 11:45 AM – 1:00 PM RAG Building Blocks — Chunking, Embeddings & Vector DBs
Day : 3 Session 3 2:00 – 3:15 PM RAG Frameworks — LangChain & LlamaIndex
Day : 3 Session 4 3:30 – 4:45 PM Advanced RAG Patterns & Production Readiness
Day : 4 Session 1 10:15 – 11:30 AM AI Agents — Concepts, Patterns & Real Deployments
Day : 4 Session 2 11:45 AM – 1:00 PM Agentic Frameworks — LangGraph, CrewAI & AutoGen
Day : 4 Session 3 2:00 – 3:15 PM Model Context Protocol (MCP) — Architecture & Design
Day : 4 Session 4 3:30 – 4:45 PM MCP in Practice — Build, Connect & the Agentic Future
Day : 5 Session 1 10:15 – 11:30 AM Responsible AI — Ethics, Bias, Fairness & Privacy
Day : 5 Session 2 11:45 AM – 1:00 PM Adversarial AI — How LLM Systems Get Attacked

Semester with subjects

0 semesters
No Semester Founds.

Experts

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Poojan Shah

829 Students
4 Batches

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