Agentic AI, Automation & Multi-Agent Systems | 2 Days Workshop, IISc Bengaluru

Agentic AI & Multi-Agent Systems | From Tools to Autonomous Multi-Agent Systems By Techobytes Technologies

Go from a single chatbot to a team of AI agents that plan, act, use tools, and collaborate.

Why this workshop? You might have already built an AI that talks. Now you'll build an AI that acts. You'll give your models real tools, let them query live data, reason and self-correct, and team them up into multi-agent systems that tackle tasks no single model could. Every module is hands-on - you'll watch working agents in action, then prompt the AI to build and harden your own. By the end you'll have a production-style, multi-agent application that's truly yours.

What you'll build ● An AI that calls real tools and live APIs - and resists misuse. ● An assistant that answers questions from a real database by writing its own SQL. ● Autonomous agents that plan, act, and catch their own mistakes. ● A team of specialized agents (planner, researcher, writer, reviewer) working together. ● An observable, cost-aware multi-agent system as your capstone.

How we'll work - "vibe coding" ● See it run first: every module opens with a live demo of working agents. ● Then build yours: you prompt the AI in AntiGravity to design, extend, and harden it. ● Ship something every session - real systems, not slideware.

Before you start You know (Generative AI Essentials), or equivalent - you should be comfortable building a chatbot and a basic RAG system. Python 3.x, Anaconda, and AntiGravity installed No database to install - we'll use SQLite (built into Python) with a sample database we provide. Access to a foundation-model API (we'll help you set up keys at the start).

Eligibility: Students and Working professionals Open to all: B.Tech, B.E., BCA, MCA, B.Sc IT, M.Sc IT, MBBS, MS, MD, Biomedical, Biotechnology, BBA, MBA, B.A., and hobbyists from all backgrounds.

Course Content Duration: 2 Days (14-16 HRS)

Course modules Module 1 - Tools & Tool-Oriented Agents Give your AI hands - then make those hands production-tough. ● Introduction to tool (function) calling. ● Structured outputs and JSON schema design. ● Tool routing, orchestration, and dynamic tool selection. ● Building custom tools: calculator, database query, web search. ● API-based tool integration. ● Handling tool failures and recovery; testing prompt-injection and misuse. ● Demo: An LLM deciding to call a tool and using the result in its answer. ● Project: Extend your Level 1 chatbot with external API tools, then harden it.

Module 2 - Talk to Your Data: SQL Agents Ask a question in plain English - your agent writes the SQL and answers from a real database. ● Why text-to-SQL: natural language as the interface to structured data. ● Giving the agent a database schema as context. ● The SQL query tool: generate, run, and return results via function calling. ● Reading results and recovering from errors - invalid queries, empty results