Extending Claude Cowork for Productivity

This course focuses on getting real, day-to-day value out of Claude and Cowork. Students start with the fundamentals that determine whether an AI workflow succeeds or fails—writing prompts as constraints, managing context, memory, and files, choosing between a skill and a prompt, wiring up connectors and MCPs, using Plan Mode, and putting safety rails around destructive actions. From there, the course works through a series of real-world use cases drawn from engineering, security, operations, and knowledge work—from building a custom Snowflake MCP and running an IAM audit at scale, to roasting postmortems, deploying on a comment, onboarding new hires in M365, and triaging an inbox of 247 unread messages. By the end, students will know how to design Claude workflows that are predictable, auditable, and genuinely useful in their own environment.