PluralSight – Prompt Engineering for Developers with Google Gemini 2026

PluralSight – Prompt Engineering for Developers with Google Gemini 2026
English | Tutorial | Size: 45.69 MB


This course will teach you how to master Google Gemini 3 Flash and 3.1 Pro to build reliable, structured, and multimodal AI features directly into your production codebase.

What you’ll learn

AI applications required highly engineered prompts. In this course, Prompt Engineering for Developers with Google Gemini, you’ll gain the ability to build robust, deterministic AI-powered applications that behave like software, not just a chat bot. First, you’ll explore structured output techniques, specifically leveraging JSON Mode and system instructions to ensure Gemini returns data your backend can actually parse. Next, you’ll discover multimodal engineering, learning how to pass images, video, and massive documentation sets directly into the model’s native context window for complex reasoning. Finally, you’ll learn how to fine-tune model parameters like Temperature and Top-P to balance creativity with the strict reliability needed for production code. When you’re finished with this course, you’ll have the skills and knowledge of Gemini-specific prompt architecture needed to ship high-performance, AI-driven features with confidence.

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