Learn Google Gemini AI
Master Google's multimodal AI model family. Learn to use Gemini for text, image, video, and audio tasks. Explore prompting techniques, API integration, and real-world use cases - all for free.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
What is Gemini? Learn about Google's multimodal AI model family, its capabilities, and how it compares to other AI systems.
2. Getting Started
Access Gemini via the web, Google AI Studio, and the API. Have your first conversation and explore multimodal inputs.
3. Models & Capabilities
Understand Ultra, Pro, Flash, and Nano. Compare performance, context windows, pricing, and when to use each model.
4. Prompting Guide
Craft effective prompts for Gemini including multimodal prompts, structured output, system instructions, and grounding.
5. Use Cases
Practical applications: content creation, code generation, data analysis, image understanding, and Google Workspace automation.
6. Best Practices
Safety settings, cost optimization, API best practices, rate limits, responsible AI use, and frequently asked questions.
What You'll Learn
By the end of this course, you'll be able to:
Multimodal Prompting
Create prompts that combine text, images, video, and audio to unlock Gemini's full multimodal capabilities.
Use the API
Integrate Gemini into your applications using Google AI Studio and the Gemini API with Python or JavaScript.
Choose the Right Model
Select between Ultra, Pro, Flash, and Nano based on your needs for capability, speed, and cost.
Google Workspace Integration
Leverage Gemini across Google Docs, Sheets, Slides, and Gmail for enhanced productivity.
Related AI School Courses
Gemini in the IDE, in the terminal, and in the browser.
Gemini Code Assist
Use Gemini directly in VS Code and JetBrains. Code completion, chat-driven development, test generation, and Enterprise controls.
Gemini CLI
Google's open-source agentic coding tool for the terminal. Autonomous task execution, multi-file edits, and shell integration.
Google AI Studio
Browser-based prototyping and prompt engineering with Gemini models. System instructions, multimodal inputs, and API key access.
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