The only way to truly learn multi-agent systems is to build one. This live workshop takes you from your first agent server to a complete multi-agent Glass-Box Context Engine in 6 hands-on hours — with Denis Rothman guiding every architectural decision and implementation step.
By Packt Publishing · Refunds up to 10 days before
Multi-agent systems have many moving parts that interact in non-obvious ways. Reading about them or watching demos does not build the intuition for how context pollution happens, why coordination fails, or how Glass-Box logging saves hours of debugging. Building one does. This workshop provides 6 hours of exactly that.
Context engineering is the discipline of designing systems that give AI the right information, in the right format, to reason and act reliably. It goes beyond prompt engineering — building structured, deterministic systems that scale in production.
A multi-agent system uses multiple specialised AI agents working together — each with a defined role, context, and tools — to complete complex tasks no single agent could handle reliably. Context engineering makes them predictable.
MCP is Anthropic's open standard for connecting AI models to tools, data sources, and other agents. It provides structured agent orchestration with clear context boundaries — making systems transparent and debuggable.
Context engineering requires hands-on practice to truly understand. This live workshop lets you build a working system with a world-class instructor answering your questions in real time.
Six modules. Six hours. A production-ready context-engineered AI system by the time you finish.
Understand why prompts fail at scale and how semantic blueprints give AI structured, goal-driven contextual awareness.
Design and orchestrate multi-agent workflows using the Model Context Protocol. Build transparent, traceable agent systems.
Build RAG pipelines that deliver accurate, cited responses. Engineer memory systems that persist context reliably across agents.
Architect a transparent, explainable context engine where every decision is traceable and debuggable in production.
Implement safeguards against prompt injection and data poisoning. Enforce trust boundaries in multi-agent environments.
Deploy your context-engineered system to production. Apply patterns for scaling, monitoring, and reliability.
Concrete working deliverables — not just theory and slides.
A working Glass-Box Context Engine with transparent, traceable reasoning
Multi-agent workflow orchestrated with the Model Context Protocol
High-fidelity RAG pipeline with memory and citations
Safeguards against prompt injection and data poisoning
Reusable architecture patterns for production AI systems
Certificate of completion from Packt Publishing
Denis Rothman brings decades of production AI engineering experience to this live workshop.
Denis Rothman is a bestselling AI author with over 30 years of experience in artificial intelligence, agent systems, and optimization. He has authored multiple cutting-edge AI books published by Packt and is renowned for making complex AI architecture concepts practical and immediately applicable. He guides you step by step through building production-ready context-engineered multi-agent systems — answering your questions live throughout the 6-hour session.
Intermediate to advanced workshop. Solid Python and basic LLM experience required.
Everything you need to know before registering.
You will learn to build a Glass-Box Context Engine: a production-grade multi-agent system with a semantic blueprint layer, MCP-orchestrated specialist agents, high-fidelity RAG with citation tracking, episodic and working memory management, prompt injection safeguards, and a comprehensive observability layer. Every component is built incrementally during the live session, so you see how each piece contributes to the complete system.
You need a laptop with Python 3.10 or later installed, a code editor, and basic terminal familiarity. The instructor sends a pre-workshop setup guide with the exact Python dependencies to install so your environment is ready when the session starts. No specific hardware beyond a standard developer laptop is required — the workshop uses lightweight local components rather than requiring cloud infrastructure.
The workshop follows a tight build sequence: each module introduces one concept, the instructor demonstrates the implementation, then you implement it yourself with support available for questions. There are verification points at the end of each module where you confirm your implementation works before moving to the next component. This structured hands-on approach ensures you finish the workshop with a complete working system rather than a partial implementation.
The most common mistakes when learning multi-agent systems are: treating context as a shared global state (instead of explicitly routing context to each agent), ignoring context window budgets until overflow causes failures, designing agent interfaces informally (without typed schemas) and then struggling to debug communication failures, adding logging as an afterthought (instead of building the Glass-Box layer first), and connecting agents before testing each one independently. This workshop addresses all five by building in the correct sequence from the start.
The workshop is approximately 70% guided implementation (the instructor demonstrates the pattern, you implement it following their guidance) and 30% architectural decisions (the instructor presents the options, explains the trade-offs, and you make the choice for your implementation). This balance ensures you develop genuine understanding rather than just copying code, while the guided sections ensure you do not get blocked on implementation details during the live session.
All participants receive: the complete session recording for rewatching any implementation step, a reference implementation of the Glass-Box Context Engine as a comparison point for your own code, written documentation of the key architectural decisions covered during the workshop, and a certificate of completion from Packt Publishing. Denis Rothman's published Packt books provide extended coverage of the context engineering concepts for continued learning after the workshop.
6 hours. Bestselling AI author. Production context-engineered multi-agent system by the end. Seats are limited.
Register Now →Saturday April 25 · 9am to 3pm EDT · Online · Packt Publishing · Cohort 2