Context engineering is not an academic concept — it is the engineering discipline that determines whether your AI systems work in production. This live online course teaches developers the complete context engineering skill set through 6 hours of hands-on classes.
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 online course gives you the complete skill set through 6 hours of live guided classes.
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. Unlike pre-recorded classes, this live online course gives you a complete guided build with a bestselling AI author answering your questions in real time throughout every module.
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, implementing context window management, building RAG pipelines, engineering memory systems, and adding production safeguards. This context engineering online course for developers covers every one of these areas in hands-on live classes — not theory slides.
This context engineering course for developers runs for 6 intensive live hours. The online classes are structured so you build a production-ready system from scratch — giving you a complete working reference architecture by the end of the session, not just notes from a lecture.
Context engineering skills are currently rare and highly valued. Developers who complete this online course and can build reliable production AI systems command significantly higher rates than those limited to basic LLM API calls. As agentic AI becomes standard in enterprise software, the skills you develop in these live classes will be as fundamental as database design or API architecture.
Yes, but implementation-first. Denis Rothman introduces each concept then immediately builds it live during the online classes. By the end of this context engineering for developers course you have a complete working production system — not just theoretical knowledge — so you understand every principle through having built it yourself.
This online context engineering for developers course is implemented entirely in Python — the dominant language for AI development. Intermediate Python is the prerequisite. The instructor covers all libraries and tools needed during the live classes. No prior experience with AI-specific Python frameworks is required.
Yes. Everyone who completes this context engineering for developers course receives a certificate of completion from Packt Publishing — one of the most respected names in developer education with 7,500+ books and over 20 years of running live developer classes worldwide.
6 hours of live online classes. The 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