Context engineering is not an academic concept — it is the engineering discipline that determines whether your AI systems work in production. This live 6-hour course teaches developers the complete context engineering skill set through hands-on system building.
By Packt Publishing · Refunds up to 10 days before
In 2026, the developers who stand out are not those who can write the best prompts — they are the ones who can architect reliable AI systems. Context engineering is that architectural discipline. This course gives you the complete skill set through 6 hours of guided hands-on building.
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 wrote the definitive book on context engineering for multi-agent systems — published by Packt in 2025.
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.
For developers, context engineering involves: designing semantic blueprints that define what context each agent receives, implementing context window management to prevent overflow, building RAG pipelines that retrieve and present information reliably, engineering memory systems that persist state across agent interactions, and implementing safeguards that validate AI outputs before they cause problems in production.
This 6-hour intensive live course gives you the complete context engineering foundation through hands-on system building. You will not master every nuance in 6 hours — but you will build a production-ready system that demonstrates all the core principles, giving you a solid foundation and working reference architecture for continued development.
Context engineering skills are currently rare and highly valued. Developers who can build reliable production AI systems command significantly higher rates than those limited to basic LLM API integration. As agentic AI becomes standard in enterprise software, context engineering will be as fundamental as database design or API architecture.
Yes, but implementation-first. Denis Rothman introduces each concept, explains the architecture, then immediately implements it during the live session. By the end of the course you have a complete working system — not just theoretical knowledge — so you understand context engineering through having built with it.
This course is implemented in Python — the dominant language for AI development. Intermediate Python experience is the prerequisite. The instructor covers all the libraries and tools needed during the course. No prior experience with AI-specific Python frameworks is required.
Yes. All participants receive a certificate of completion from Packt Publishing — one of the most respected names in developer education with 7,500+ books and courses and over 20 years of helping developers build real skills.
6 hours. Live author of the definitive book. Context engineering mastery by the end. Seats are limited.
Register Now →Saturday April 25 · 9am to 3pm EDT · Online · Packt Publishing