Getting Started with Google Gemini API

Getting Started with Google Gemini API

This course is part of Gemini for Developers Specialization

Instructor: Google DeepMind

2,025 already enrolled

Included with

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Set up environments, manage API keys, choose models, debug prompts, integrate real-time data, and generate structured outputs with JSON Schema.

Skills you'll gain

Category: Data Integration
Category: Token Optimization
Category: Tool Calling
Category: Large Language Modeling
Category: LLM Application
Category: Debugging
Category: Key Management
Category: Development Environment
Category: Cloud API
Category: Real Time Data

Tools you'll learn

Category: JSON
Category: Google Gemini
Category: Generative AI
Category: Application Programming Interface (API)
Category: Gemini
Category: AI Workflows
Category: Python Programming
Category: Prompt Engineering

Details to know

Shareable certificate

Add to your LinkedIn profile

Build your subject-matter expertise

This course is part of the Gemini for Developers Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

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.

This foundational module takes you from zero to making your first successful Gemini API call. You'll start by understanding why AI-powered text generation is transforming applications across industries, then dive into the essential concepts every developer needs to know: tokens, context windows, rate limits, and authentication. Through hands-on coding sessions, you'll set up your development environment, secure your API keys, and write your first text generation requests using either Python or JavaScript. By the end of this module, you'll have built a working text generation application and designed three unique use cases for different domains. This module establishes the foundation for all subsequent API work and gives you the confidence to integrate AI text generation into your projects.

What's included

4 videos1 reading2 assignments

4 videosTotal 12 minutes

Welcome to the Google Gemini for developers specialization2 minutes
Introduction to getting started with the Gemini API2 minutes
Power up your applications with AI2 minutes
Your first Gemini API call5 minutes

1 readingTotal 10 minutes

Gemini API fundamentals10 minutes

2 assignmentsTotal 45 minutes

Build an AI text generator30 minutes
Knowledge check: Gemini fundamentals15 minutes

This module teaches you how to make informed decisions about AI model selection and gain transparency into how your AI thinks. You'll learn the key differences between Gemini Pro and Flash models, understanding when to prioritize quality versus speed and cost. The module then introduces Gemini's unique "thinking" feature, which exposes the model's internal reasoning process. You'll learn to enable thinking, configure thinking budgets, and interpret thought summaries to debug issues and improve your AI's performance. Through practical exercises, you'll build systems that intelligently choose the right model for each task and leverage thinking insights to create more reliable AI applications. This module transforms you from making basic API calls to making strategic, informed decisions about AI behavior.

What's included

2 videos1 reading2 assignments

This module unlocks Gemini's powerful built-in capabilities and teaches you to format AI responses for reliable downstream processing. You'll master two essential built-in tools: URL Context for analyzing web content and Google Search for accessing real-time information. The module then focuses on structured output using JSON Schema, showing you how to transform messy, unpredictable AI responses into clean, consistent data structures. You'll discover why this combination is crucial for building AI agents—tools provide dynamic information while structured output ensures that information is actionable and parseable by other systems. Through hands-on projects, you'll build information processing systems that combine web data, search results, and structured formatting to create agent-ready outputs.

What's included

2 videos2 readings2 assignments

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Google DeepMind

3 Courses2,121 learners

Offered by

Google DeepMind

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Frequently asked questions

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