We’re back with another edition of Sahaj Software’s DevDay in Hyderabad, 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
Notes:
This is an in-person event
Bring your personal laptop
Lunch, snacks, and tea will be provided
