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DESCRIPTION:Hands-on workshop
X-WR-CALDESC:Hands-on workshop
NAME:Crafting multi-Agent systems that think and act
X-WR-CALNAME:Crafting multi-Agent systems that think and act
REFRESH-INTERVAL;VALUE=DURATION:PT12H
SUMMARY:Crafting multi-Agent systems that think and act
TIMEZONE-ID:Asia/Kolkata
X-PUBLISHED-TTL:PT12H
X-WR-TIMEZONE:Asia/Kolkata
BEGIN:VEVENT
SUMMARY:Crafting multi-Agent systems that think and act
DTSTART:20260314T081500Z
DTEND:20260314T114500Z
DTSTAMP:20260419T235944Z
UID:session/7rUt4vfSJ9JRxXA99mYyfS@hasgeek.com
SEQUENCE:14
CREATED:20260304T040147Z
DESCRIPTION:## About the workshop\n**In this hands-on workshop\, participa
 nts will learn how to design and orchestrate intelligent AI systems using 
 LangGraph and modern agentic patterns.** \n* You’ll start by understandi
 ng the building blocks such as nodes\, edges\, workflows\, and message rou
 ting. From there\, you’ll dive into agent architecture: how prompts\, to
 ols and context come together to enable reasoning-driven automation.\n* Yo
 u’ll also explore multi-agentic patterns\, learning when and how to coor
 dinate multiple agents to solve complex\, real-world problems. \n* Finally
 \, you’ll work with the Model Context Protocol (MCP) to externalize know
 ledge and connect agents to structured data and services.\n\n**Through gui
 ded exercises and practical implementation patterns\, you’ll leave with 
 the skills to build multi-agentic systems\, transforming LLMs from chat in
 terfaces into powerful\, composable systems that integrate seamlessly acro
 ss your engineering stack.**\n\n## Who is this workshop for\n* Developers 
 and engineers building AI-powered applications who want to design reliable
 \, agent-driven workflows\n* ML/AI engineers exploring agentic architectur
 es\n* Tech leads and solution architects designing scalable\, multi-agent 
 systems and automation platforms\n* Platform and backend engineers integra
 ting LLMs with real-world systems\, APIs\, and infrastructure\n* Innovatio
 n\, R&D\, and product teams experimenting with AI agents\, orchestration f
 rameworks\, and MCP-based extensibility\n\n## Pre-requisites\n1. Bring you
 r own laptop\n2. Working knowledge of Python is a must\n3. Git installed a
 nd an active GitHub account for code access and collaboration\n4. Valid AP
 I keys provisioned in advance (e.g.\, Gemini\, GPT). **Note: API keys will
  not be provided during the workshop.**\n5. Familiarity with an IDE or cod
 e editor (VS Code\, PyCharm\, etc.)\n\n## Key takeaways\n1. Understand the
  LangGraph execution model\, including node orchestration\, edge routing\,
  message propagation\, and workflow lifecycle management.\n2. Gain a deep 
 understanding of agent architecture\, including prompt composition\, conte
 xt scoping and tool invocation patterns.\n3. Develop multi-agent systems\,
  applying coordination patterns such as task delegation\, routing\, and ro
 le-based specialization.\n4. Integrate Model Context Protocol (MCP) to ext
 ernalize data access and extend agent capabilities through standardized co
 ntext interfaces.\n\n## Workshop Agenda\n### 1. Foundations of LangGraph -
  30 mins\n**Objective:** Understand the core building blocks of LangGraph\
 n\n**Topics:**\n1. What is a Graph?\n2. Nodes\, Edges & Execution Flow\n3.
  Designing a Basic Workflow\n4. Conditional Edges & Routing Logic\n5. Mess
 age Types (System\, User\, AI)\n\n### Hands-on exercise: 30 mins \n Create
  a simple multi-node LangGraph workflow from scratch.\n\n### 2. Introducti
 on to AI Agents - 30 mins\n**Objective:** Learn what agents are and how th
 ey operate within workflows\n\n**Topics:**\n1. What are AI Agents?\n2. Pro
 mpt Engineering\n3. Context Management\n4. Tool Use & Execution Flow\n\n##
 # Hands-on exercise: 30 mins \nBuild a simple agent with tools and use it 
 to solve a task.\n\n### 3. Multi-Agent systems - 45 mins\n**Objective:** E
 xplore collaboration between multiple agents\n\n**Topics:**\n1. What is a 
 Multi-Agent System?\n2. Common Multi-Agent Patterns & Architectures\n3. De
 signing Multi-Agentic Systems\n\n### Hands-on exercise: 60 mins\nBuild a m
 ulti-agent system for a real-world use case.\n\n### 4. Model Context Proto
 col (MCP) - 30 mins\n**Objective:** Understand how MCP extends agent capab
 ilities\n\n**Topics:**\n1. What is MCP?\n2. When & Why to Use MCP?\n3. Int
 egrating MCP with Agentic Systems\n\n### Hands-on exercise: 30 mins \nBuil
 d an MCP client and connect it to the agentic workflow.\n\n### 5. Q&A + op
 en discussion - 15 mins\n\n**The workshop expands on the key concepts pres
 ented in this talk: https://youtu.be/zWWWi5tfkn4?si=SXbpzCFN62GDcAxa**\n\n
 ## About the workshop instructors\n**[Swetha A](https://www.linkedin.com/i
 n/swetha0302)** is a software developer and GenAI enthusiast working as a 
 Solution Consultant at Sahaj Software. She is passionate about building in
 telligent systems that harness deep learning and generative AI to solve re
 al-world challenges. \n\n**Past talks & workshops:**\n1. The Fifth Elephan
 t workshop on mastering prompt engineering across SDLC http://has.gy/v1bT 
 - conducted at MathCo in Nov 2025. \n2. https://sahaj.ai/events/under-the-
 hood-of-agentic-ai/\n3. https://youtu.be/zWWWi5tfkn4?si=SXbpzCFN62GDcAxa\n
 \n**[Mahita D](https://www.linkedin.com/in/mahita07)** is a full-stack dev
 eloper passionate in agentic systems and the evolving role of AI in softwa
 re development. Her work focuses on exploring innovative ways AI can simpl
 ify complex problems and address everyday challenges. Mahita's approach he
 lps make working with AI systems more approachable and practical.\n\n**Pas
 t talks:**\n1. https://sahaj.ai/events/ai-search-and-kubernetes-operators-
 explained/\n2. https://sahaj.ai/events/under-the-hood-of-agentic-ai/\n3. h
 ttps://youtu.be/zWWWi5tfkn4?si=SXbpzCFN62GDcAxa\n\n## How to attend this w
 orkshop\nThis workshop is open for **[The Fifth Elephant annual members](h
 ttps://hasgeek.com/fifthelephant#memberships)**. \n\n**This workshop is op
 en to 30 participants. Seats will be available on first-come-first-serve b
 asis.** 🎟️    \n\n## Contact information ☎️\nFor inquiries about 
 the workshop\, contact +91-7676332020 or write to info@hasgeek.com
LAST-MODIFIED:20260324T025933Z
LOCATION:DataWeave\, Bangalore - https://hasgeek.com/fifthelephant/craftin
 g-multi-agent-systems-blr-edition/
ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/fifthelephant/crafting-multi-agent-systems-blr-edi
 tion/
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