Learn by Source
Google DeepMind · on Coursera

Gemini for Developers

4.7(6) on Coursera·5K enrolled
Intermediate 12 hours English Specialization
SkillsGemini APIGoogle AI StudioAI agentsCloud Run deploymentStructured JSON outputGrounding with SearchPrompt engineering

Is this course right for you?

Our take
A short, first-party path from Google DeepMind to building on the Gemini API and Google AI Studio.

Good for: Developers who want to build and deploy apps on the Gemini API and Google Cloud.

Skip if: You're targeting OpenAI, Anthropic or Azure, or you're not yet a developer.

In around twelve compact hours it covers model 'thinking', grounding responses with Google Search, structured JSON output, and deploying to Cloud Run — the specific things you need to ship a real Gemini app. Being first-party from DeepMind is the draw: it's authoritative on Gemini in a way third-party courses can't quite match, and its compactness suits someone who already develops and just needs the Gemini specifics.

So it's the wrong pick if you're targeting OpenAI, Anthropic or Azure instead, or you're not yet a developer. Audit the courses free on Coursera; the specialization certificate needs a paid subscription (around $49/month or Coursera Plus). Useful as a signal for Google-ecosystem work; a brand-new (2026) specialization, so few reviews so far (as of 2026).

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.
Coursera4.7(6)
Gemini for Developers
Price
Paid
Free to audit · paid certificate
Duration
12 hrs
Level
Intermediate
Certificate
Specialization
Coursera4.8
AI Agents with Model Context Protocol
Price
Paid
Free to audit · paid certificate
Duration
31 hrs
Level
Beginner
Certificate
Specialization
View course →
Udemy4.7(15,000)
The Complete OpenAI API with Python Masterclass
Price
Paid
Paid, frequently discounted
Duration
10 hrs
Level
Intermediate
Certificate
Course Certificate
View course →
Coursera4.4(17)
Microsoft Generative AI Engineering Professional Certificate
Price
Paid
Free to audit · paid certificate
Duration
101 hrs
Level
Intermediate
Certificate
Professional Certificate
View course →
Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.

About this course

Gemini for Developers is a compact three-course specialization from 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 Search, and structured JSON output — with rapid prototyping in Google AI Studio and deployment to Cloud Run.

Browse all AI & ML courses Browse all Coursera courses

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.

Frequently asked questions

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.
Paid
Free to audit · paid certificate
Enroll now