Building Generative AI Apps with Large Language Models on Azure

Generative AI is transforming how we build software, but deploying these powerful models securely and at scale requires a robust cloud foundation. This text-based course guides you through the process of leveraging Large Language Models (LLMs) on Azure to build intelligent, production-ready applications. You will transition from understanding basic model architectures to deploying fully functional AI systems. Through clear written explanations and practical code snippets, you will learn how to orchestrate models, integrate external data, and ensure your applications are secure and scalable. What you'll learn: - Understand the foundational concepts of Large Language Models and generative AI architectures. - Configure Azure OpenAI Service instances and manage model deployments securely. - Apply prompt engineering techniques to optimize model responses and control outputs. - Implement Retrieval-Augmented Generation (RAG) patterns to connect models to your private data. - Integrate vector databases and search capabilities to enhance information retrieval. - Deploy generative AI applications using cloud best practices for scalability and performance.\n The course starts with essential terminology and foundational cloud AI concepts before moving into step-by-step guides on model configuration, prompt design, data integration, and deployment strategies. It is designed for software developers, IT professionals, and technology enthusiasts who are new to generative AI, with no prior machine learning experience required. Start reading today to design and deploy your own intelligent cloud applications.