A short, first-party path from Google DeepMind to building on the Gemini API and Google AI Studio — model 'thinking', grounding with Search, structured JSON output, and deployment to Cloud Run. At ~12 hours it's compact and best if you already develop and specifically target Gemini.
Good for: Developers who want to build and deploy apps on the Gemini API and Google Cloud.
Less suitable if: You're targeting OpenAI, Anthropic or Azure, or you're not yet a developer.
Skills you'll gain
Gemini APIGoogle AI StudioAI agentsCloud Run deploymentStructured JSON outputGrounding with SearchPrompt engineering
Is this course right for you?
A good fit if you…
You're building on the Gemini API
You work in the Google Cloud ecosystem
You want concise, first-party guidance
Consider something else if you…
You're targeting OpenAI, Anthropic or Azure
You're not yet comfortable programming
You want a long, comprehensive course
Requirements: Programming experience (Python / APIs)Some AI or LLM familiarity helps
Realistic time: ~12 hours across three courses, self-paced
About this course
Gemini for Developers is a compact three-course specialization from Google DeepMind that takes developers from basic text generation to functional AI agents on the Gemini API. It covers the API's more advanced features — model 'thinking' for transparent reasoning, grounding with Google Search, and structured JSON output — with rapid prototyping in Google AI Studio and deployment to Cloud Run.
What you'll learn
Build applications on the Gemini API
Prototype quickly in Google AI Studio
Use grounding with Search and structured JSON output
Build functional AI agents with Gemini
Deploy production-ready apps to Cloud Run
Control cost by choosing between Gemini Pro and Flash
This course includes
12h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
Audit the courses free on Coursera; the specialization certificate needs a paid Coursera subscription (around $49/month or Coursera Plus).
Comparison · LBS
Compare alternatives for Gemini for Developers
Same topic, different options. We surface the trade-offs others hide so you can pick the course that actually fits your time, budget, and goals.
Issued by Google DeepMind and hosted on Coursera. First-party Gemini guidance is a useful signal for Google-ecosystem work; projects still carry the most weight with employers.
Instructor
I
Instructor
Coursera instructor
Google DeepMind is Google's AI research lab and the team behind the Gemini models, so the course reflects first-party guidance on how to build with the Gemini API and Google's developer tooling.
It's aimed at professional developers, not beginners — you're expected to be comfortable with object-oriented programming (Python or JavaScript) and calling APIs. If you're not yet coding, start with a broader intro-to-AI course before this one.
Real apps on the Gemini API: using model 'thinking' for transparent reasoning, grounding answers with Google Search, structured JSON output, and function calling to connect Gemini to external tools — prototyped in Google AI Studio and deployed to Cloud Run.
There are several — Gemini for Google Cloud, Gemini for Google Workspace, and this one. This is Google DeepMind's developer/API-building path: it's about writing code against the Gemini API, not using Gemini inside Workspace apps or managing it on Google Cloud.
Less so. It's first-party and Gemini-centric, which is ideal if you're building on Gemini or Google Cloud, but a poorer fit if your target stack is OpenAI, Anthropic or Azure.
It's short — around twelve hours across three courses, so many developers finish in a week or two. You can audit it free on Coursera; the certificate needs a subscription.