One-Week BootCamp on Agentic AI | 26–30 October 2026

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One-Week BootCamp on Agentic AI | 26–30 October 2026 | Department of IT, MGIT

One-Week BootCamp on Agentic AI | 26–30 October 2026 | Department of IT, MGIT

26 Oct 2026 - 31 Oct 2026 | Organized by: Department of Information Technology Website | Registration Form | Brochure

Department of Information Technology · One-Week BootCamp

Agentic AI

Design and deploy autonomous AI agents that plan, reason, use tools and complete tasks.

Dates
26 – 30 October 2026

Time
9:30 AM – 12:00 PM

Mode
Physical, On Campus

For
B.Tech V Sem, IT & CSBS

About the BootCamp

The Department of Information Technology, Mahatma Gandhi Institute of Technology (MGIT), is organizing a One-Week BootCamp on Agentic AI from 26 to 30 October 2026 for B.Tech V Semester students of IT and CSBS.

Agentic AI moves beyond chatbots that only answer questions. An AI agent plans a sequence of steps, reasons about what to do next, calls tools and APIs, and completes tasks with minimal human intervention. Over five days, participants build an agent from scratch, connect it to real tools through the Model Context Protocol (MCP), add retrieval, memory and planning, explore multi-agent systems and frameworks, and finish with evaluation, safety and a team capstone demo.

Resource Person

Mr. Y.V.N. Phani Kishore

Co-founder & Director, GYAN ASTRA IT SOLUTIONS, Hyderabad

Programme Schedule

Day	Theme	Sessions
Day 1 · 26 Oct	Anatomy of an agent	The agent loop and autonomy · Prompting for agents · Lab: agent from scratch
Day 2 · 27 Oct	Tools, MCP and multi-tool agents	Model Context Protocol (MCP) · Multi-tool agents (ReAct) · Lab: multi-tool agent
Day 3 · 28 Oct	Memory, knowledge and planning	Retrieval (RAG) for agents · Memory and planning · Lab: research assistant
Day 4 · 29 Oct	Multi-agent systems and frameworks	Multi-agent patterns · Frameworks: LangGraph, CrewAI, agent SDKs · Capstone kickoff
Day 5 · 30 Oct	Production and safety	Evals, cost and safety · Capstone build · Demo day and valediction

Objectives

Explain the agent loop, and when an agent is — and is not — the right tool.
Connect agents to real tools and systems through MCP.
Add retrieval (RAG), memory and planning to agents.
Introduce multi-agent patterns and popular frameworks.
Teach evaluation, cost control and safety for agents.

Outcomes

Build a minimal agent loop with no framework.
Extend it with multiple tools, one served over MCP.
Build a research assistant that cites its sources and critiques its own drafts.
Ship a team capstone agent with eval cases and a safety guardrail.

Who Can Attend

B.Tech V Semester students of IT and CSBS, MGIT
No prior agent experience needed — basic Python is sufficient

What to Bring

Laptop with Wi-Fi, fully charged
Python 3 and VS Code pre-installed
College ID card and a notebook

Organizing Committee

Chief Patrons

Smt. Neelayyagari Padma, Chairperson, CBES

Sri. J. Pratap Reddy, Secretary, CBES

Patrons

Prof. G. ChandraMohan Reddy, Principal, MGIT

Prof. K. Sudhakar Reddy, Vice Principal, MGIT

Coordinators

Dr. D. Vijaya Lakshmi, Professor & Head, Dept. of IT

Dr. G. Ramesh, Associate Professor, Dept. of IT

Co-Coordinators

Dr. A. Nagesh, Professor

Mr. Bapanapalli Lokesh, Asst. Professor

Ms. A. V. Laxmi Prasuna, Asst. Professor

Ms. J. Hima Bindu, Asst. Professor

Ms. V. Veena, Asst. Professor

For any queries, contact

Dr. G. Ramesh, Associate Professor, Dept. of IT
+91 96761 74440 · gramesh_it@mgit.ac.in

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