Context Engineering Workshop

Modern AI systems demand more than clever prompts they require context-aware, deterministic, explainable engines that can scale. In this intensive 5-hour workshop, bestselling AI author Denis Rothman takes you beyond prompting and into the practical architecture of a Glass-Box Context Engine, a transparent, traceable, and controllable system for powering advanced multi-agent workflows.

Whether you're building LLM-based automation, agentic applications, copilots, or orchestrators, this session gives you the frameworks, blueprints, and code-level understanding needed to build production-ready systems.

What You Will Learn

By the end of this workshop, you will be able to:

1. Understand the Glass-Box Architecture

• Why black-box prompting fails at scale
• Principles of deterministic context management
• Structuring knowledge into interpretable layers

2. Build a Context Engine From Scratch

• Context gating
• Retrieval pipelines
• Memory management strategies
• Monitoring & evaluation loops

3. Design Multi-Agent Systems With Control

• Agent role specialization
• Orchestration patterns
• Message-passing frameworks
• Safety, constraints & fail-safes

4. Apply Context Engineering to Real Systems

• Enterprise automation
• Decision-support agents
• Knowledge assistants
• Production AI workflows

Participants walk away with templates, architectural diagrams, and code examples to implement multi-agent systems immediately.

About the Speaker — Denis Rothman

Denis Rothman is a renowned AI author with over 30 years of experience in artificial intelligence, optimization, and agent systems. His books are widely used by engineers, researchers, and enterprise teams building scalable AI solutions.

He is known for turning complex AI concepts into clear, actionable frameworks, making this workshop uniquely practical for builders and decision-makers.

Who Should Attend

This workshop is ideal for:

• AI engineers & developers
• ML engineers & researchers
• Software architects
• Product teams building agentic tools
• Technical leaders adopting AI automation
• Anyone ready to move beyond prompting into robust AI system design

Technical Level

Intermediate to Advanced.
Programming experience recommended.
Familiarity with LLMs helpful but not required.

Duration

5 hours (live online)
Includes Q&A and resource downloads.

Why This Workshop Matters

As AI moves from experimentation to production, context engineering becomes the new core skill. Prompting scales your ideas, context engines scale your systems.

If you want to build predictable, explainable, multi-agent architectures, this workshop will give you the tools and the confidence to do so.