Building multi-agent systems that actually work in production requires more than chaining LLM calls. This live 6-hour workshop teaches you the complete architecture — semantic blueprints, MCP orchestration, memory, RAG, and safeguards — with a working system by the end.
By Packt Publishing · Refunds up to 10 days before
Basic agent tutorials show you how to make agents call tools. This multi-agent systems workshop shows you how to architect reliable, transparent, production-grade systems where agents collaborate with full context awareness, proper memory, and built-in safeguards.
Context engineering is the discipline of designing AI systems that provide the right information, tools, and context to LLMs at the right time — replacing brittle prompts with reliable, scalable production AI architectures.
Multi-agent systems are AI architectures where specialised agents collaborate to accomplish complex tasks. This workshop shows you how to orchestrate them reliably using the Model Context Protocol and semantic blueprints.
MCP is Anthropic's open standard for connecting AI models to tools, data sources, and other agents. This workshop teaches you to use MCP for building orchestrated multi-agent workflows that are transparent and controllable.
Context engineering and multi-agent systems have almost no quality hands-on resources. This 6-hour live workshop gives you a complete guided build with a bestselling AI author answering your questions throughout.
Six modules. Six hours. A production-ready context engine by the time you finish.
Design structured context that gives AI agents precise, goal-driven contextual awareness beyond simple prompting.
Orchestrate specialised agents using the Model Context Protocol for adaptable, context-rich reasoning workflows.
Engineer retrieval-augmented generation pipelines with citations, memory, and safeguards against hallucination.
Design AI memory systems that maintain context across long conversations and complex multi-step workflows.
Implement moderation, data poisoning protection, prompt injection prevention, and trust mechanisms for production AI.
Build a transparent, traceable Context Engine that gives you complete visibility and control over your AI system.
A working production system — not just architectural knowledge.
A fully working multi-agent system with context engineering
MCP-orchestrated agent workflows you can use in production
High-fidelity RAG pipeline with citations and memory
Semantic blueprints and agent architecture patterns
Production-ready safeguards against hallucination and injection
Certificate of completion from Packt Publishing
Denis Rothman has 30+ years in AI systems and wrote the definitive book on context engineering for multi-agent systems.
Denis Rothman is a bestselling AI author with over 30 years of experience in artificial intelligence, optimisation, and agent systems. He has written multiple cutting-edge AI books for Packt Publishing and is the author of the book “Context Engineering for Multi-Agent Systems.” In this workshop he guides you step by step through the practical architecture of production-ready multi-agent AI systems.
This is an intermediate to advanced workshop. You need the basics below.
Common questions about the workshop, what to expect, and how to prepare.
YouTube tutorials show isolated agent examples. This live multi-agent systems workshop builds a complete production-ready architecture — from semantic blueprints through MCP orchestration to RAG pipelines and safeguards — in a single guided 6-hour session with a bestselling AI author answering your specific architecture questions in real time.
You will build a Glass-Box Context Engine — a transparent, traceable multi-agent system where you have complete visibility into agent reasoning and decision-making. The architecture includes MCP-orchestrated agent workflows, semantic blueprints for context design, high-fidelity RAG with citations, and production safeguards.
This workshop focuses on the underlying architectural principles of multi-agent systems using MCP and context engineering — skills that apply across frameworks. The instructor discusses framework considerations and how the patterns you learn translate to popular frameworks during the session.
This workshop runs for 6 hours on April 25, 2026 from 9am to 3pm EDT. This intensive session takes you from architectural principles to a working production-ready multi-agent system with all core components implemented and integrated.
The most common multi-agent system failures are context confusion between agents, context window overflow, hallucination in RAG responses, prompt injection attacks, and coordination failures between agents. This workshop covers how to architect systems that prevent all of these — giving you production-ready patterns from the start.
Yes. All registered participants receive a full recording after the live session on April 25 so you can rewatch any module of the multi-agent systems workshop at your own pace.
6 hours. Live bestselling AI author. Working multi-agent system by the end. Seats are limited.
Register Now →Saturday April 25 · 9am to 3pm EDT · Online · Packt Publishing