hands on workshop: context engineering for multi agent systems [D]
Learn to build production-ready context engines with MCP integration and verifiable RAG pipelines.
Packt Publishing is running a hands-on, four-hour workshop on April 25th focused on the emerging discipline of context engineering for multi-agent AI systems. The session, led by AI systems architect Denis Rothman, aims to provide developers with practical skills for orchestrating complex AI agents. The curriculum dives deep into creating semantic blueprints for agent coordination and integrating the Model Context Protocol (MCP) to standardize how agents discover and use tools. A core challenge addressed is context window management across multiple agents, ensuring coherent and efficient information flow.
The workshop also tackles building production-ready infrastructure, specifically high-fidelity Retrieval-Augmented Generation (RAG) pipelines that include verifiable citations for auditability. Security is a major component, with dedicated modules on implementing safeguards against threats like prompt injection and data poisoning. Denis Rothman brings significant industry credibility, having designed an early word2matrix embedding system and architected large-scale AI deployments. This intensive session is designed for practitioners looking to move beyond simple agent scripts and deploy robust, coordinated multi-agent systems.
- Covers semantic blueprints and MCP integration for standardized agent tool orchestration.
- Teaches deployment of high-fidelity RAG pipelines with verifiable citations and security against prompt injection.
- 4-hour online format on April 25th led by AI architect Denis Rothman, designer of an early word2matrix system.
Why It Matters
Provides the engineering framework needed to build reliable, secure, and coordinated multi-agent AI systems for production.