Getting Started with the Gemini API

Are you ready to move beyond basic chat interfaces and build your own custom AI-powered applications? This text-based course guides you through the foundational concepts and practical steps of working with the Gemini API. You will transition from understanding core artificial intelligence concepts to implementing sophisticated features like structured data generation, multi-modal inputs, and context-aware chat systems in your own code. What you'll learn: • Understand the core architecture, key terminology, and capabilities of the Gemini API • Configure API access safely and manage environment variables in your development environment • Apply fundamental prompt engineering techniques to optimize model responses • Generate structured JSON outputs to seamlessly integrate AI data into your applications • Implement multi-modal requests that combine text and image inputs • Design stateful conversational interfaces that maintain context over multiple turns • Explore retrieval-augmented generation (RAG) patterns to connect the API with external data. Our curriculum begins with the absolute basics, clarifying core AI terminology and API setup before moving step-by-step into hands-on code examples and structured implementation patterns. This course is designed for software developers and tech enthusiasts who are new to AI integration and want a clear, code-first introduction. Start building intelligent applications today.