This course introduces Google Gemini API. You’ll move beyond basic chat interfaces to building intelligent, high-performance systems. You will use foundational API setup and progress to sophisticated features like function calling and structured output. You’ll use decision-making to balance cost and speed using Gemini Pro and Flash models. By leveraging Gemini’s unique "thinking" capabilities and web-grounding tools, you will learn to build reliable, transparent AI solutions that process data with precision at scale. By the end of this course, you will be able to: - Manage API keys and set up development environments in Python or JavaScript. - Choose between models based on cost, latency, and performance requirements. - Use "thinking" and thought summaries to debug prompts and improve transparency. - Integrate real-time data using built-in tools like Google Search and URL Context. - Use JSON Schema to produce consistent, parseable outputs for downstream logic.
What you'll learn
Manage API keys and set up development environments in Python or JavaScript
Choose between models based on cost, latency, and performance requirements
Use 'thinking' and thought summaries to debug prompts and improve transparency
Integrate real-time data using built-in tools like Google Search and URL Context
Use JSON Schema to produce consistent, parseable outputs for downstream logic