Buildit Tour 2.0
19 August 2025

Buildit Tour 2.0

Location

offline
Microsoft Luxor Office, Bengaluru

Speaker

2 Professional
Speakers

Days:

1 Day

About

Agentic AI in Action: From Single Agents to Multi-Agent Systems” is an advanced, developer-focused event exploring how to create AI applications that think, decide, and act with minimal human intervention. In the first session, you’ll learn how to build autonomous AI agents using Azure OpenAI and LangChain, enabling them to handle tasks like research, content creation, and automation. The second session takes it further by showing how to design and deploy multi-agent systems that collaborate to solve complex, multi-step workflows. With live demos and code walkthroughs, this event will help you turn static AI models into dynamic, self-directed systems.

Benefits

  • Understand the fundamentals of Agentic AI and its difference from traditional AI.
  • Get insights into integrating APIs, tools, and databases for agent capabilities.
  • Learn best practices for monitoring, controlling, and securing autonomous AI.
  • Learn to build autonomous AI agents using Azure OpenAI and LangChain.
  • See live demos of agents performing multi-step tasks without manual intervention.
  • Discover how to design and orchestrate multi-agent systems for real-world use cases.

Buildit Tour 2.0

Date: 19 August
Timing: 11:00 AM - 1:00 PM
Location: offline
Microsoft Luxor Office, Bengaluru
Speaker: 2 Professional
Speakers
Days: 1 Day

Speakers

Sriharsha Nallamilli
Sriharsha Nallamilli
Head of Strategic Partnerships & Marketing, Wadhwani Foundation
Dr Kumaravel S
Dr Kumaravel S
Assistant Professor, IFMR GSB - Krea University

Schedule

11:00 AM - 12:00 PM
Building Autonomous AI Agents with Azure OpenAI and LangChain

  1. Introduction to Agentic AI and autonomous decision-making.
  2. Using LangChain with Azure OpenAI to create task-driven agents.
  3. Real-world examples: automated research assistants, workflow bots, and data summarizers.

12:00 PM - 1:00 PM
From Workflow to Autonomy: Orchestrating Multi-Agent Systems for Complex Tasks

  1. Designing systems where multiple AI agents collaborate and coordinate.
  2. Integrating tools, APIs, and databases for dynamic decision-making.
  3. Use cases in customer support, DevOps automation, and intelligent monitoring.