MLOps and LLMOps: Deploying and Scaling AI in Production

This intermediate course equips ML engineers, data scientists, and software engineers with the practical skills needed to design, deploy, and scale production AI systems. You’ll learn how to architect reliable ML and LLM applications, including model serving patterns, feature stores, and retrieval-augmented generation (RAG) components. The course walks through reproducible training and experimentation pipelines with tools like MLflow and Weights & Biases, from experiment tracking and model registration to production deployment. You will configure CI/CD workflows tailored to ML and LLM systems…