Gemini for Developers

Coursera MOOC / Non-credit USD 49
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Gemini for Developers

About this course

Become an AI Application Developer capable of engineering sophisticated systems that can think, search, and act autonomously to solve complex real-world challenges. This specialization provides a comprehensive look into the Google Gemini ecosystem. You will use the Gemini API’s most advanced features, including model thinking parameters for transparent reasoning, grounding with Google Search, and structured output with JSON Schema. Throughout the courses, you will progress from basic text generation to building functional AI agents and autonomous processors. You will utilize Google AI Studio for rapid prototyping and experiment with model parameters before deploying production-ready applications directly to Cloud Run. You’ll also learn to orchestrate complex tasks using function calling to connect Gemini to external tools and data. Upon completion, you’ll be able to: Build and deploy multi-capability AI agents using the Gemini API, function calling, and built-in tools. Implement cost-effective applications by strategically mastering model selection between Gemini Pro and Flash. Architect reliable systems that use structured JSON output and "thinking" to ensure high-quality, parseable results. Prerequisites: The specialization is designed for developers and engineers who have a background in object-oriented programming (Python or JavaScript) and fundamental API usage/REST concepts. You'll also need to be comfortable writing and debugging code.

What you'll learn

  • Build and deploy multi-capability AI agents using the Gemini API and function calling
  • Use Google AI Studio for rapid prototyping and model parameter experimentation
  • Implement structured JSON output and model thinking parameters for transparent reasoning
  • Deploy production-ready AI applications directly to Cloud Run
  • Architect systems that connect Gemini to external tools and data sources
  • Select cost-effective models by understanding differences between Gemini Pro and Flash

Course objectives

  • Engineer sophisticated AI systems capable of autonomous reasoning and action
  • Master the Google Gemini ecosystem and its advanced API features
  • Progress from basic text generation to building functional AI agents
  • Orchestrate complex tasks by connecting AI models to external tools

Skills you'll gain

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