Google Prompting Essentials by Google Career Certificates

About this course

Work is changing fast, and knowing how to collaborate with generative AI has become a practical advantage across roles—from operations and marketing to data analysis and project management. This free online course helps you build a reliable prompting habit so you can turn vague requests into clear instructions that AI can act on. Instead of guessing why outputs miss the mark, you learn how to guide models toward useful, accurate, and relevant results.

You will practice a structured approach to prompting that emphasizes intent, context, and constraints, so your requests are easier for AI tools to interpret. The course focuses on real workplace outcomes: summarizing information, drafting and refining emails, generating ideas, producing polished content, and making recommendations based on datasets. Along the way, you’ll learn to improve results with quick iterations and simple techniques that increase clarity without making prompts overly complex.

As you progress, you’ll see how to treat AI as both a creative partner and an expert assistant—knowing when to ask for breadth, when to ask for depth, and how to keep outputs aligned with your goals. You’ll also explore prompt chaining, breaking larger tasks into smaller steps to maintain quality and reduce errors. This approach is especially useful when dealing with complex deliverables, long reports, or multi-part workflows where accuracy and consistency matter.

The course includes applied questions and exercises that reinforce decision-making: choosing the right prompt strategy for a task, diagnosing weak prompts, and rewriting them to get stronger results. You’ll also learn practical note-taking strategies to capture what works, so you can build a personal library of prompt patterns you can reuse. By the end, you’ll be able to communicate with gen AI tools more effectively and confidently—saving time, improving quality, and strengthening a skill set that’s increasingly valued in technology, programming, and AI-driven workplaces.