Hands-On Workshop: Build Multi-Agent Workflows with LangGraph

🎟️ Please RSVP here to register for the Workshop.

We’re back with another edition of Sahaj Software’s DevDay in Bangalore, where curious minds meet deep tech. If you would like to learn building Next-Gen AI Agent Workflows with LangGraph, this one’s for you.
Ready to go beyond prompt chaining and build intelligent, stateful multi-agent AI systems?
Join us for an exclusive hands-on workshop designed for experienced developers, data scientists, and bright grads eager to build real-world agent workflows using LangGraph – a cutting-edge framework for multi-agent orchestration.
What You’ll Learn

• Foundations of LangGraph: Understand nodes, edges, graph state management, and type-safe execution flows.
• Designing RAG (Retrieval-Augmented Generation) Workflows: Build hybrid systems combining retrieval and generation using LangGraph constructs.
• Persistence, Memory, and Human-in-the-Loop (HITL): Learn how to persist agent state, inject memory, and bring human decision-making into the loop.
• Capstone Project: Apply your knowledge to build a complete end-to-end AI system by the end of the day.
• Advanced LangGraph Patterns: Dive into sequential, branching, and parallel workflows. Explore evaluator-optimiser and multi-agent architectures.
• MCP & Agent-to-Agent (A2A) Protocols: Enable inter-agent communication and collaborative problem-solving using Model Context Protocols.

This workshop is deeply interactive and code-focused – expect to roll up your sleeves and build! By the end of the day, you’ll walk away with a working multi-agent prototype and a clear understanding of how to architect complex AI systems.
Who should attend

• Senior software engineers and data scientists
• ML/AI practitioners working with agents, LLMs, or LangChain
• Advanced grads with strong Python & ML fundamentals

Workshop Prerequisites: AI Agents with LangGraphTo ensure participants can make the most of this workshop, please note the following prerequisites:

1. Python Proficiency:Participants should have at least a basic to intermediate understanding of Python. The workshop will not cover Python fundamentals.
2. LangChain Experience:

• Attendees are expected to have prior experience with LangChain. We will not revisit LangChain basics, so familiarity with its core concepts and components is essential.

3. API Key Management:

• Participants should be comfortable obtaining and managing their own API keys (e.g., OpenAI, Table Research, LangSmith, etc.).
• The workshop will not provide any API keys.Please ensure you have working API keys set up in advance, as we will use them for hands-on exercises (including tracing, model calls, etc.)

4. Development Environment:

• Participants should have a functional Python development environment (e.g., Anaconda, venv, or similar) set up on their laptops.
• Familiarity with installing packages via pip or conda is expected.
• Familiarity with Jupyter Notebooks or IDEs:Exercises and examples may beprovided in notebook or script format. Please be comfortable running code in your preferred environment.

5. General AI Concepts (Recommended):

• • While not mandatory, a general understanding of key AI concepts (such as prompt engineering, LLMs, and vector databases) will help you get more from the workshop.
Note:

• This is an in-person event
• Bring your personal laptop
• Lunch, snacks, and tea will be provided

About the Speaker
Suman Paul Choudhury
Solution Consultant, Sahaj Software

Suman Paul Choudhury is a Senior Data Scientist at Sahaj with over 9 years of industry experience in advanced data science and AI. He holds a Master’s degree in Signal Processing and specialises in computer vision, NLP, generative AI, and deep learning. Throughout his career, he has developed and deployed a wide range of AI solutions tailored to diverse client needs, driving measurable business impact.

🎟️ Please RSVP here to register for the Workshop.