AI can execute faster than any human, but it still relies on people to ask the right questions and decide what matters. In this course, Katie McMahon, a classicist and librarian turned technology consultant, shows you how to think like a strategist rather than a technician. Explore time-tested reasoning frameworks, from the Socratic method and Aristotelian logic to the Paul-Elder model, and apply them to real business cases and your work with AI. Practice reframing vague requests, building testable hypotheses, and planning what to measure. Separate signal from noise, distinguish correlation from causation, and catch logical fallacies that AI tends to amplify. Finally, learn how to turn your findings into clear, persuasive recommendations you can defend in front of decision makers. Along the way, hands-on exercises with tools like ChatGPT help you put every skill into practice.
This course was created by Maven Analytics. We are pleased to host this training in our library.
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