Generative AI Application Development on the Cloud

Generative artificial intelligence is reshaping how we build and interact with software, opening up unprecedented possibilities for developers. This text-only course provides a clear, conceptual roadmap to designing and deploying intelligent applications using modern cloud-based AI services. Through detailed written explanations and structured code analyses, you will transition from understanding basic model architectures to constructing production-ready AI workflows. You will gain a solid grasp of how to connect large language models to real-world data sources securely and efficiently. What you'll learn: - Understand foundational large language model concepts, tokenization, and key parameters - Master prompt engineering techniques to guide model outputs reliably - Configure cloud AI services and Vertex AI APIs for seamless application integration - Implement Retrieval-Augmented Generation patterns using vector databases to ground model responses - Build interactive conversational interfaces and smart search features using text-based design patterns - Apply best practices for managing API costs, latency, and security in cloud environments The course begins with essential terminology, foundational AI concepts, and basic cloud service setups. You will then progress through detailed architectural breakdowns, reading through step-by-step implementation patterns and practicing with written development exercises. This course is designed for software developers, system architects, and technology enthusiasts who want to build AI-driven features. No prior background in machine learning or data science is required. Start reading today to master the fundamentals of cloud-based generative AI development.