What you'll learn

Google Gemini can produce powerful results, but vague or poorly structured prompts with unnecessary context can lead to inaccurate responses, inefficient interactions, and higher token usage. In this course, Prompt Engineering for Google Gemini, you’ll gain the ability to craft clear, structured, and context-aware prompts that improve response quality while using Gemini efficiently. First, you’ll explore how to frame questions and tasks clearly, use few-shot examples, and compare effective and ineffective prompts to improve reasoning and response accuracy. Next, you’ll discover how to create prompts for text, images, audio, video, and code, and tailor them for tasks such as summarization, extraction, and transformation. You’ll also learn how to use role-based prompts, templates, and related questions when working with large documents and extended context. Finally, you’ll learn how to optimize prompts by providing relevant context, setting appropriate output constraints, and managing token usage to balance response quality, latency, and cost. When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering for Google Gemini needed to create effective, context-aware, and efficient prompts for a variety of real-world tasks.