MLOps and Generative AI Deployment in Azure

Deploying machine learning models and generative AI systems in production requires a solid understanding of both cloud infrastructure and operations. This text-only course guides you through the foundational concepts of MLOps and Azure AI services, taking you from basic definitions to deploying your first robust AI workflow. What you'll learn: - Understand the core principles of MLOps and cloud-based machine learning lifecycles. - Configure cloud workspaces and manage machine learning data assets securely. - Deploy generative AI models and implement basic prompt engineering workflows. - Integrate modern retrieval-augmented generation (RAG) patterns and vector databases. - Set up automated pipelines for continuous deployment and model monitoring. - Practice troubleshooting and scaling AI services using cloud-native tools. You will start with essential terminology and core cloud concepts before moving step-by-step through pipeline configuration, model deployment, and operational monitoring. This course is designed for beginners interested in AI operations and cloud deployment, with no prior MLOps experience required. Start reading today to build your foundation in cloud-based AI operations.