Exploring AI with Google AI Studio

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.