Description

Generative AI is rapidly transforming how modern applications are built, and Gemini sits at the core of Google’s AI ecosystem. Whether you are building intelligent assistants, developer tools, automation workflows, or production-ready AI applications, Gemini is the foundation every developer needs to master.This course is designed specifically for developers who want to use Gemini to build real-world AI-powered applications, not just experiment with prompts. What You’ll Learn in This Course:Use Gemini models effectively as a developer, not just as a chat interfaceBuild AI-powered applications using Gemini APIsWork with Google AI Studio for rapid prototyping and experimentationUse Vertex AI Studio for enterprise-grade development and deploymentUnderstand and implement different authentication methods in GCP, including:API keysService accountsApplication Default Credentials (ADC)Use the Generative AI SDK (Gen AI SDK) with extensive, hands-on examplesStructure prompts, system instructions, and model interactions for real applicationsMove from local development to cloud-based, scalable AI solutionsTools & Platforms CoveredThis course provides hands-on experience with:Gemini ModelsGoogle AI StudioVertex AI StudioGoogle Cloud Platform (GCP)Generative AI SDKs with multiple real-world examplesAll concepts are demonstrated through practical coding examples, focusing on how developers actually build and integrate AI into applications.Why Gemini for Developers?Gemini is not just another large language model—it is deeply integrated into Google’s cloud and developer stack. It supports:Multimodal inputs (text, images, code)Tool usage and function callingTight integration with Google Cloud servicesScalable, secure deployment for production workloadsUnderstanding Gemini gives you a significant advantage when building next-generation AI applications on Google Cloud.