Unlock the power of MLOps to bridge machine learning and DevOps, transforming experimental models into scalable production systems. "MLOps Fundamentals: Master Machine Learning Operations with Hands-On Azure Demos" guides beginners through building CI/CD pipelines using Azure DevOps and Azure ML.

Piper Shaw provides step-by-step tutorials, real-world case studies from Netflix and Uber, and practical exercises to tackle data drift, model decay, and deployment bottlenecks. Learn data versioning with DVC, automate workflows, deploy endpoints, monitor performance, and optimize costs. Ideal for data scientists, engineers, and teams deploying ML at scale in finance, retail, and beyond—gain the skills to deliver reliable, efficient models that drive business value.