Build a practical foundation in responsible AI strategy by learning how generative AI works, when to use it, and how to apply it more thoughtfully in workplace settings. In this course, you’ll develop skills relevant to roles across business, operations, marketing, product, HR, and team leadership where employees are increasingly expected to use AI tools responsibly. You’ll explore core generative AI concepts, compare AI tools to other approaches for specific tasks, and examine the risks that can affect quality, trust, and compliance.

This is a non-traditional, skill-based learning experience organized around real workplace tasks instead of a fixed lecture sequence. It’s designed to reflect responsibilities you may see in job descriptions and day-to-day work, from choosing the right tool for a task to recognizing bias, privacy, security, and intellectual property concerns before using generative AI. You can personalize your path based on what you already know, focus on the skills you need most, and skip content when it’s not necessary. The course curates high-quality lessons from expert instructors, selecting the strongest content for each skill so you can build practical, career-relevant responsible AI experience. By the end, you’ll be able to explain key generative AI terminology, describe how these models learn from large datasets, evaluate when generative AI is or isn’t the right fit for a task, identify common responsible-use risks, and apply organizational AI-use guidelines to realistic workplace scenarios. This course is a strong fit if you want a practical introduction to generative AI and responsible workplace use, with no technical background required.