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Prompt Engineering for Google Gemini

Learn to design effective prompts for Google Gemini. This course will teach you to craft structured, context-aware prompts that improve the reasoning and accuracy of the output.

Avdhesh Gaur - Pluralsight course - Prompt Engineering for Google Gemini
by Avdhesh Gaur

What you'll learn

AI can deliver incredible results, but only if you know how to ask the right questions. Poorly structured prompts often lead to vague, incomplete, or off-target responses.

In this course, Prompt Engineering for Google Gemini, you’ll learn to design structured and context-aware prompts that improve the reasoning and accuracy of your AI-generated output.

First, you’ll explore how to use few-shot learning with structured examples to guide Gemini’s reasoning and reduce ambiguity, especially in long-context or multi-turn interactions.

Next, you’ll discover how to compare and evaluate well-crafted versus poorly structured prompts to identify the elements that make them effective.

Finally, you’ll learn how to use role-based prompts to control style and tone and produce consistent image generation results.

When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering for Google Gemini needed to craft clear and powerful prompts that deliver accurate, insightful, and tailored outputs.

Table of contents

About the author

Avdhesh Gaur - Pluralsight course - Prompt Engineering for Google Gemini
Avdhesh Gaur

Avdhesh Gaur is a Data Analyst, instructor, author, mentor, storyteller, speaker, and consultant as well when it comes to bringing insights out of data and presenting the story behind. His career spans more than 6 years with a focus on building Data-driven BI models using Tableau & numerous other statistical data analysis Techniques.

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