Skip to content
CourseAsk.
Gemini for Developers
Coursera MOOC / Non-credit 0

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.

B

75/100

CourseAsk score

What the provider tells you
39/45
Who stands behind it
20/35
How complete the listing is
16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

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
Artificial Intelligence Cloud Computing #python #javascript #cloud run #api integration #ai agents #gemini api #google ai studio #function calling #google search grounding #json schema #structured output #model parameters #autonomous systems #gemini pro #gemini flash #llm application development
$49.00

Price shown by Coursera — confirm on their site.

Enroll on Coursera

You'll be redirected to Coursera to complete enrollment.

  • Listed & compared by CourseAsk
  • English · 0

Compared on these lists

Where this course ranks against the alternatives.