HALL 2 - Exclusive Workshops

Interoperability will define the future of agent ecosystems. This workshop unpacks the emerging standards—Model Context Protocol (MCP), Agent-to-Agent (A2A), and Agent Communication Protocol (ACP)—that allow agents to “speak” to each other.

Through hands-on exercises, you’ll compare strengths, trade-offs, and real implementations. You’ll learn to build adaptable systems that can evolve with changing standards—future-proofing your AI stack for a multi-agent, protocol-driven world.

This workshop explores memory architectures that give agents continuity and true persistence. You’ll learn about episodic vs. semantic memory, vector database integration, memory consolidation strategies, and retrieval balancing recency with relevance.

Participants will build agents that learn from every interaction, maintain coherent long-term context, and avoid common pitfalls like context pollution or catastrophic forgetting—core skills for anyone aiming to scale agentic AI responsibly.

Agentic systems are non-deterministic—making them harder to debug with traditional logs. This workshop takes you deep into telemetry: instrumentation, observability pipelines, and analysis techniques that capture reasoning loops, tool failures, and system context.

You’ll walk away with hands-on methods to turn raw signals into actionable insights, ensuring your autonomous agents remain reliable and explainable in production, even when facing unpredictable environments.

Learn how to take agentic applications from lab experiments to production-grade deployments using AWS Copilot. This workshop shows how to automate infrastructure provisioning, CI/CD pipelines, and integrate standards like the Model Context Protocol (MCP) to extend agents beyond chat into real-world tasks.

By the end, you’ll know how to create resilient, scalable, and context-aware AI agents that can truly operate in enterprise environments, while freeing developers to focus on logic instead of infrastructure firefighting.