From understanding what AI agents are to designing end-to-end enterprise workflows. A practical program for teams building and managing work alongside AI agents.
Six progressive modules. Start with agent fundamentals, finish with real-world workflow design.
Recommended sequence — start anywhere based on your experience level.
What AI agents are, how they differ from chat-based AI, and what the shift from tool to worker means for how you work.
How agents are structured, the composable patterns that power them, and how tool connectivity works.
The core practitioner skill: breaking down tasks, writing clear instructions, managing context, and defining success criteria.
Monitoring agent behavior, verifying outputs, calibrating trust, and knowing when to intervene.
Security risks unique to agents, governance frameworks, data protection, accountability structures, and building a sustainable governance practice.
Designing end-to-end workflows, deploying agents in enterprise settings, measuring effectiveness, managing change, and building a sustainable agentic practice.