Crafting multi-Agent systems that think and act

About the workshop

In this hands-on workshop, participants will learn how to design and orchestrate intelligent AI systems using LangGraph and modern agentic patterns.

• You’ll start by understanding the building blocks such as nodes, edges, workflows, and message routing. From there, you’ll dive into agent architecture: how prompts, tools and context come together to enable reasoning-driven automation.
• You’ll also explore multi-agentic patterns, learning when and how to coordinate multiple agents to solve complex, real-world problems.
• Finally, you’ll work with the Model Context Protocol (MCP) to externalize knowledge and connect agents to structured data and services.

Through guided exercises and practical implementation patterns, you’ll leave with the skills to build multi-agentic systems, transforming LLMs from chat interfaces into powerful, composable systems that integrate seamlessly across your engineering stack.

Who is this workshop for

• Developers and engineers building AI-powered applications who want to design reliable, agent-driven workflows
• ML/AI engineers exploring agentic architectures
• Tech leads and solution architects designing scalable, multi-agent systems and automation platforms
• Platform and backend engineers integrating LLMs with real-world systems, APIs, and infrastructure
• Innovation, R&D, and product teams experimenting with AI agents, orchestration frameworks, and MCP-based extensibility

Pre-requisites

1. Bring your own laptop
2. Working knowledge of Python is a must
3. Git installed and an active GitHub account for code access and collaboration
4. Valid API keys provisioned in advance (e.g., Gemini, GPT). Note: API keys will not be provided during the workshop.
5. Familiarity with an IDE or code editor (VS Code, PyCharm, etc.)

Key takeaways

1. Understand the LangGraph execution model, including node orchestration, edge routing, message propagation, and workflow lifecycle management.
2. Gain a deep understanding of agent architecture, including prompt composition, context scoping and tool invocation patterns.
3. Develop multi-agent systems, applying coordination patterns such as task delegation, routing, and role-based specialization.
4. Integrate Model Context Protocol (MCP) to externalize data access and extend agent capabilities through standardized context interfaces.

Workshop Agenda

1. Foundations of LangGraph - 30 mins

Objective: Understand the core building blocks of LangGraph

Topics:

1. What is a Graph?
2. Nodes, Edges & Execution Flow
3. Designing a Basic Workflow
4. Conditional Edges & Routing Logic
5. Message Types (System, User, AI)

Hands-on exercise: 30 mins

Create a simple multi-node LangGraph workflow from scratch.

2. Introduction to AI Agents - 30 mins

Objective: Learn what agents are and how they operate within workflows

Topics:

1. What are AI Agents?
2. Prompt Engineering
3. Context Management
4. Tool Use & Execution Flow

Hands-on exercise: 30 mins

Build a simple agent with tools and use it to solve a task.

3. Multi-Agent systems - 45 mins

Objective: Explore collaboration between multiple agents

Topics:

1. What is a Multi-Agent System?
2. Common Multi-Agent Patterns & Architectures
3. Designing Multi-Agentic Systems

Hands-on exercise: 60 mins

Build a multi-agent system for a real-world use case.

4. Model Context Protocol (MCP) - 30 mins

Objective: Understand how MCP extends agent capabilities

Topics:

1. What is MCP?
2. When & Why to Use MCP?
3. Integrating MCP with Agentic Systems

Hands-on exercise: 30 mins

Build an MCP client and connect it to the agentic workflow.

5. Q&A + open discussion - 15 mins

The workshop expands on the key concepts presented in this talk: https://youtu.be/zWWWi5tfkn4?si=SXbpzCFN62GDcAxa

About the workshop instructors

Swetha A is a software developer and GenAI enthusiast working as a Solution Consultant at Sahaj Software. She is passionate about building intelligent systems that harness deep learning and generative AI to solve real-world challenges.

Past talks & workshops:

1. The Fifth Elephant workshop on mastering prompt engineering across SDLC http://has.gy/v1bT - conducted at MathCo in Nov 2025.
2. https://sahaj.ai/events/under-the-hood-of-agentic-ai/
3. https://youtu.be/zWWWi5tfkn4?si=SXbpzCFN62GDcAxa

Mahita D is a full-stack developer passionate in agentic systems and the evolving role of AI in software development. Her work focuses on exploring innovative ways AI can simplify complex problems and address everyday challenges. Mahita’s approach helps make working with AI systems more approachable and practical.

Past talks:

1. https://sahaj.ai/events/ai-search-and-kubernetes-operators-explained/
2. https://sahaj.ai/events/under-the-hood-of-agentic-ai/
3. https://youtu.be/zWWWi5tfkn4?si=SXbpzCFN62GDcAxa

How to attend this workshop

This workshop is open for The Fifth Elephant annual members.

This workshop is open to 30 participants. Seats will be available on first-come-first-serve basis. 🎟️

Contact information ☎️

For inquiries about the workshop, contact +91-7676332020 or write to info@hasgeek.com