AI at Work: A Practical Playbook for Your Team

Most people's experience with AI at work goes one of two ways. Either the outputs are disappointingly generic and they give up, or they copy-paste whatever the AI produces without knowing whether to trust it. Both are prompt problems, context problems, or judgment problems, and all three are fixable skills. This course is built around that premise. Across four units, you'll work through what actually makes AI useful in a professional setting. You'll learn how to write prompts that produce specific, usable output, how to give AI the right context so it understands your work and not just your question, and how to delegate multi-step tasks to AI agents the way you'd delegate to a junior colleague: with a clear brief, a stopping condition, and a review process. You'll also build the judgment to know which tasks are worth handing off and which ones should stay human. The last unit covers what most AI courses skip: the unglamorous stuff. What data should never go into a public AI tool. How to catch hallucinations before they reach your boss. When to disclose that AI helped with something. And how to build habits that make your whole team more capable over time, not just the one person who's already into this. By the end, you'll have a working system, not just a set of tips.