What you'll learn

In today’s workplace, the challenge isn’t access to information; it’s knowing what to trust. Data is abundant, perspectives compete, and tools, including AI, produce confident outputs that can create false certainty. Without disciplined evaluation, teams risk building strong decisions on weak inputs. In this course, Critical Thinking: Evaluating Information and Risk, you’ll learn how to apply critical thinking to evaluate information and uncertainty before decisions are made. First, you’ll practice assessing input integrity and bias, using sensemaking to align understanding across perspectives, and exploring multiple plausible futures through scenario thinking. Then, you’ll explore how to treat AI-generated outputs as hypotheses to be tested, not conclusions to be accepted. Finally, you'll learn how to strengthen thinking integrity and prepare you to move from clarity into confident, well-supported action. By the end of this course, you'll know how thinking breaks down and how to apply critical thinking under real-world pressure.