Operationalizing ML Models: MLOps for Scalable AI

In this course you’ll explore how to turn promising ML prototypes into robust, scalable, and maintainable systems that deliver real value. Through hands-on demos, practical tools, and real-world case studies from companies like Netflix, Uber, and Google, you’ll gain a comprehensive understanding of what it takes to run ML systems effectively in production using MLOps. This course is designed for data scientists, machine learning engineers, AI practitioners, and IT professionals who want to operationalize machine learning workflows, scale AI systems, and streamline deployment and infrastructu…