PluralSight – Prompt Engineering for Google Gemini 2026
English | Tutorial | Size: 72.03 MB
This course will teach you to craft effective prompts with Google Gemini. Learn how unclear prompts limit AI output and how clear, structured instructions produce accurate, context-aware, and multimodal responses.
What you’ll learn
Generative AI can deliver powerful results, but unclear or poorly structured prompts often lead to vague, incomplete, or misleading outputs.
In this course, Prompt Engineering for Google Gemini, you’ll gain the ability to design clear, context-aware prompts that guide Gemini toward accurate and useful responses.
First, you’ll explore how to craft effective prompts across text, image, audio, video, and code inputs, and how to tailor instructions for tasks like summarization, extraction, and transformation using Gemini’s extended context window.
Next, you’ll discover how few-shot learning and structured examples improve reasoning and reduce ambiguity.
Finally, you’ll learn how to use prompt templates, role-based instructions, and multi-question strategies to extract deeper insights from large documents while controlling style, tone, and persona.
When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering for Google Gemini needed to consistently produce clearer, more accurate, and more actionable outputs.
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