Generative AI for Developers: Build and Integrate Smart Applications

Integrating artificial intelligence into software is no longer a luxury—it is a core developer skill. This text-based course guides you through the process of connecting your applications to powerful generative models. You will transition from understanding basic generative AI concepts to building intelligent, context-aware applications. By learning how to work with APIs, manage prompts, and implement modern retrieval patterns, you will gain the skills needed to build responsible and secure AI-driven solutions. What you'll learn: - Understand foundational generative AI concepts, model architectures, and key terminology - Design and optimize prompts to extract predictable, high-quality responses from language models - Integrate large language models into your applications using standard API calls and SDKs - Implement Retrieval-Augmented Generation (RAG) to connect models to your custom data sources - Apply responsible AI principles to handle bias, safety, and content filtering in your code - Structure model outputs using JSON and schema validation for seamless application integration. The course starts with essential definitions and core concepts before guiding you through written code examples, prompt design workflows, and retrieval architectures. It is designed for developers and programmers who are new to artificial intelligence, requiring only a basic understanding of programming but no prior machine learning experience. Start reading today to build the next generation of intelligent software.