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Coursera

Exploring AI with Google AI Studio

via Coursera

Overview

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This course gives you a good look at Google AI Studio. You will learn to transition from natural language concepts to production-ready code by experimenting with prompt engineering and real-time visualization of token usage. The curriculum bridges the gap between manual experimentation and automated development, teaching you to refine AI behavior before implementation. By using this interface, you will significantly accelerate your development lifecycle—prototyping complex ideas, testing model trade-offs, and deploying functional applications directly to the cloud. By the end of this course, you will be able to: - Manage API keys and explore advanced features like Maps integration and Google Search grounding. - Develop a systematic workflow to evaluate and refine prompts across Flash and Pro models. - Export UI experiments into clean, functional code for Python or JavaScript environments. - Transition from a prototype to a live application using seamless Cloud Run integration.

Syllabus

  • Introduction to AI Studio
    • In this foundational module, you'll get hands-on with Google AI Studio, exploring its interface and capabilities. You'll start by setting up your environment, then embark on a guided tour through AI Studio's impressive array of features—from basic text generation to advanced capabilities like real-time Google Search grounding and location-aware responses with Maps data. Through interactive exercises, you'll create your first prototypes, test different features, and discover surprising ways AI can enhance your applications. This module sets the stage for your entire learning journey, transforming you from AI-curious to AI-capable.
  • Prompt Engineering and Model Evaluation
    • This module transforms you from a casual user into a strategic AI developer who knows how to get consistently excellent results. You'll conduct hands-on experiments comparing Gemini's models, discovering firsthand how each excels in different scenarios. Through guided testing, you'll customizate model output with parameter tuning. You'll build your own optimization workflow, testing prompts across multiple models and documenting what works. By the end, you'll have created a personal playbook of optimized prompts and parameter settings, plus the skills to tackle any new AI challenge systematically.
  • Vibe Coding with AI Studio Build Mode
    • This module introduces AI Studio's approach to development, where natural language becomes your programming language. You'll experience watching code evolve in real-time as you adjust parameters in the UI or simply describe what you want in plain English. Starting with your optimized prototypes, you'll learn to generate code with the assistance of Gemini. Through hands-on projects, you'll explore this new workflow, understanding when to use AI Studio's interactive development versus traditional coding. By module's end, you'll have transformed prototypes into working applications, accelerating your development timeline. This isn't just about generating code—it's about reimagining the development process.

Taught by

Google DeepMind

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