Advanced AI Systems With MCP, Memory & Human-In-The-Loop

Building real-world AI systems in 2026 means moving far beyond simple prompts and chatbots. The future belongs to agentic applications that are context-aware, stateful, and governed - systems that not only generate text, but understand, reason, act, and learn over time. In this full-day masterclass, we will guide you through the foundational pillars for designing and implementing advanced LLM-powered systems that orchestrate tools, manage memory, and integrate human oversight: - Context Engineering for shaping relevant, dynamic model input - Memory for evolving, persistent, and personalized intelligence - Model Context Protocol (MCP) for structured, and testable integration - Human-in-the-Loop (HITL) for oversight, escalation, and compliance Throughout the day, you’ll design and implement modular AI components that coordinate tools, manage memory, and respond intelligently — using structured context, RAG pipelines, and MCP-based orchestration. Let’s build AI systems that respect the real world.