AI

This course is a hands-on, three-day course for experienced developers building production-ready, multi-agent AI systems. Participants learn to architect agent workflows with MCP tools, RAG grounding, orchestration, human-in-the-loop approvals, observability, evaluation, and security, culminating in a realistic enterprise capstone suitable for real-world deployment.

This course is an intermediate, hands-on course for developers who want to build reliable AI assistants and use LLMs effectively as collaborative development tools. Participants learn to design assistant architectures, control model behavior, integrate tools and enterprise knowledge, and evaluate quality—while also developing practical AI pair-programming skills used in team environments with tools like Claude Code.