Azure LLMOps: Deploy and Manage Large Language Models

Large Language Models are transforming software development, but moving them from a prototype to a reliable production environment requires specialized operational skills. This text-based course guides you through the foundational principles of LLMOps specifically tailored for the cloud environment. You will transition from writing simple prompts to managing the entire lifecycle of language model applications. By reading through practical scenarios, you will learn how to leverage cloud-native services to deploy, monitor, and optimize models safely, efficiently, and at scale. What you'll learn: - Understand core LLMOps concepts, terminology, and lifecycle stages. - Configure cloud-based AI services and set up your development environment. - Implement Retrieval-Augmented Generation (RAG) patterns using vector databases. - Deploy large language models securely and manage operational API endpoints. - Evaluate model performance and set up continuous monitoring for drift and safety. - Orchestrate complex AI workflows using modern prompt evaluation tools. The course starts with essential terminology and foundational AI concepts before guiding you through step-by-step written tutorials and practical configuration exercises. You will explore how to architect, deploy, and maintain robust systems from the ground up. This program is designed for developers, data scientists, and cloud enthusiasts who are new to LLMOps and want a clear, conceptual introduction without complex prerequisites. Start reading today to master the operational side of modern AI.