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/ Event / Scaling AI Beyond Single Agents: Multi-Agent Architectures with LangChain

Scaling AI Beyond Single Agents: Multi-Agent Architectures with LangChain

Designing Scalable Multi-Agent AI Systems with LangChain

As AI applications grow more complex, single-agent models often struggle with overloaded context, unclear responsibilities, and fragile workflows. Multi-Agent AI solves these challenges by distributing tasks across specialized agents that collaborate, delegate, and execute processes efficiently.

In this session, we’ll explore how to design and implement scalable multi-agent systems using LangChain. You’ll learn when multi-agent architectures are essential, how patterns like subagents, skills, handoffs, and routers work in practice, and how they help manage context, specialization, and task distribution in real-world AI workflows.

A live, hands-on demonstration will show how to define, compose, and orchestrate LangChain agent skills within a framework of collaborating agents. You’ll see how agents collaborate, route tasks intelligently, and scale beyond simple demos into production-ready systems. By the end of the session, you’ll have a clear framework for implementing these systems in your own projects.

🛠️ What We’ll Cover:

  • Foundations of Multi-Agent Systems – Why they outperform single-agent approaches

  • Core Architecture Patterns – Subagents, skills, handoffs, and routers explained with practical examples

  • Choosing the Right Design – Decision framework for selecting the best LangChain setup

  • Agent Skills in Practice – Defining, composing, and invoking modular agent capabilities

  • Orchestration & Context Management – Task routing strategies and managing shared context

  • Live Demo – Implementing and orchestrating agent skills using LangChain

  • Performance Considerations – Real-world trade-offs and scalability challenges

🔍 Why Attend?

  • Build scalable multi-agent systems for complex, real-world tasks

  • Understand practical design patterns and architectural trade-offs

  • Experience live demonstrations beyond slide-based sessions

  • Leave with actionable guidance you can apply immediately

Featured Speakers

Multi-Agent AI Architectures with LangChain

Izma Aziz

Senior Software Engineer, Generative AI and LLMs

Izma Aziz is a Senior Software Engineer specializing in generative AI and large language models. She builds multi-agent systems and scalable architectures that perform reliably in real-world production environments. Izma works primarily with frameworks like LangChain, turning advanced AI capabilities into practical, robust solutions that organizations can trust. She is passionate about transforming complex AI concepts into applications that deliver meaningful results.

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