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Faculty Development Program on Agentic AI

25 May 2026, 07:00 PM – 29 May 2026, 08:30 PM • Online

Type: FDP

Faculty Development Program on Agentic AI

Agentic AI

5 Day National Level Faculty Development Program

AI That Thinks • AI That Acts

“Tomorrow’s intelligent systems will not just answer — they will think, plan, reason, and act.”

Learn the future of Artificial Intelligence through hands-on Agentic AI concepts and applications.

Program Details

  • Date: 25th May – 30th May 2026
  • Timing: 7:00 PM – 8:30 PM IST
  • Mode: Online
  • Fee: ₹350 Only
  • Certification: E-Certificate Provided
  • Organized By: Mevi Technologies LLP
  • Initiative: IQAC Initiative

Objectives

  • Understand Artificial Intelligence from absolute basics
  • Learn the evolution from AI → Generative AI → Agentic AI
  • Explore how AI systems reason and perform autonomous tasks
  • Understand Large Language Models (LLMs) and Prompt Engineering
  • Build simple AI Agents using beginner-friendly workflows
  • Learn real-world applications of Agentic AI systems
  • Gain confidence in exploring modern AI technologies

Prerequisites

  • Basic understanding of computers
  • Very basic Python knowledge
  • No prior AI knowledge required
  • Interest in learning modern AI technologies

Day-wise Syllabus

Day 1 – Foundations of AI
  • Introduction to Artificial Intelligence
  • AI vs ML vs DL explained simply
  • Introduction to Generative AI
  • What are AI Agents?
  • Evolution towards Agentic AI
  • Real-world AI examples
  • Automation concepts
  • Chatbots & AI assistants
  • Hands-on AI demonstrations
  • Industry applications overview
Day 2 – Large Language Models (LLMs)
  • What is an LLM?
  • How ChatGPT works
  • Prompt Engineering basics
  • Zero-shot & few-shot prompts
  • AI + tools interaction
  • Understanding APIs conceptually
  • LangChain introduction
  • Tool-using AI systems
  • Practical prompt demonstrations
  • Hands-on exercises
Day 3 – Building Your First AI Agent
  • AI Agent workflow
  • Inputs → Thinking → Output flow
  • Agent memory concepts
  • Reasoning concepts
  • External tools in AI agents
  • Task planning logic
  • Breaking complex tasks
  • Hands-on agent building
  • Q&A bot development
  • Simple automation demo
Day 4 – Multi-Agent Systems
  • What are multi-agent systems?
  • Single vs multi-agent architecture
  • Agent communication concepts
  • Collaboration between AI agents
  • Customer support automation
  • Smart assistants overview
  • Task-sharing systems
  • Advanced frameworks overview
  • Two-agent demo workflow
  • Real-world applications
Day 5 – Advanced Concepts & Mini Project
  • Memory in AI agents
  • Short-term vs long-term memory
  • Introduction to RAG
  • How AI searches + answers
  • Limitations of AI systems
  • Hallucinations & AI risks
  • Ethical AI considerations
  • Guided mini project
  • FAQ bot / reminder agent
  • Future scope of Agentic AI

Learning Outcomes

  • Understand the progression from AI to Agentic AI
  • Learn the fundamentals of LLMs
  • Design beginner-level AI agents
  • Understand AI memory and reasoning concepts
  • Explore practical AI automation workflows
  • Gain confidence in modern AI technologies
  • Build foundational knowledge for future AI research

Join the Future of Intelligent AI Systems

Master the foundations of Agentic AI with practical learning, modern concepts, and real-world AI applications.


Limited Seats • Register Early

“The future belongs to those who learn AI not just as a tool — but as intelligent systems that can think, reason, and act.”
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