Learn Multi-Agent Systems Hands-On · Live · April 25

Learn Multi-Agent Systems Hands-On — Build One in 6 Hours

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.

Saturday, April 25  9am – 3pm EDT
6 Hours  Hands-on coding
Cohort 2  Intermediate to Advanced

Workshop Details

📅
Date & Time
Saturday, April 25, 2026
9:00am – 3:00pm EDT
Duration
6 Hours · Hands-on
💻
Format
Live Online · Interactive
📚
Level
Intermediate to Advanced
🎓
Includes
Certificate of Completion
Register on Eventbrite →

By Packt Publishing · Refunds up to 10 days before

✦ By Packt Publishing
6 Hours Live Hands-On
Cohort 2 — April 25, 2026
Intermediate to Advanced
Certificate of Completion
Why Trust Packt

Over 20 Years of Helping Developers Build Real Skills

7,500+
Books and video courses published
108
Live workshops hosted on Eventbrite
30+
Years of AI experience — Denis Rothman
100%
Hands-on — real code every session
About This Workshop

Why Hands-On Is the Only Effective Way to Learn Multi-Agent Systems

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.

🧠

What is Context Engineering?

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.

🤖

What is a Multi-Agent System?

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.

🔗

What is the Model Context Protocol?

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.

🎯

Why Attend as a Live Workshop?

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.

Workshop Curriculum

What This 6-Hour Workshop Covers

Six modules. Six hours. A production-ready context-engineered AI system by the time you finish.

01

From Prompts to Semantic Blueprints

Understand why prompts fail at scale and how semantic blueprints give AI structured, goal-driven contextual awareness.

02

Multi-Agent Orchestration With MCP

Design and orchestrate multi-agent workflows using the Model Context Protocol. Build transparent, traceable agent systems.

03

High-Fidelity RAG With Citations

Build RAG pipelines that deliver accurate, cited responses. Engineer memory systems that persist context reliably across agents.

04

The Glass-Box Context Engine

Architect a transparent, explainable context engine where every decision is traceable and debuggable in production.

05

Safeguards and Trust

Implement safeguards against prompt injection and data poisoning. Enforce trust boundaries in multi-agent environments.

06

Production Deployment and Scaling

Deploy your context-engineered system to production. Apply patterns for scaling, monitoring, and reliability.

What You Walk Away With

By the End of This Workshop You Will Have

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

Your Instructor

Learn From a Bestselling AI Author With 30+ Years of Experience

Denis Rothman brings decades of production AI engineering experience to this live workshop.

Denis Rothman

Denis Rothman

Workshop Instructor · April 25, 2026

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.

Prerequisites

Who Is This Workshop For?

Intermediate to advanced workshop. Solid Python and basic LLM experience required.

Frequently Asked Questions

Common Questions About Learning Multi-Agent Systems Hands-On

Everything you need to know before registering.

What multi-agent system will I learn to build hands-on in this workshop? +

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.

What do I need to bring to this hands-on multi-agent systems workshop? +

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.

How structured is the hands-on learning experience in this multi-agent systems workshop? +

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.

What common mistakes do developers make when first learning multi-agent systems? +

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.

How much of this hands-on workshop involves following instructions versus making independent decisions? +

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.

What ongoing support is available after the hands-on multi-agent systems workshop? +

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.

Context Engineering for Multi-Agent Systems · Cohort 2 · April 25, 2026

Ready to Build Production AI With Context Engineering?

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