Machine Learning Deployments with Azure CLI

Deploying machine learning models into production can be complex, requiring robust tools for management and monitoring. This course will equip you with the foundational knowledge and practical skills to confidently deploy, monitor, and troubleshoot your machine learning models using industry-standard tools. Learn to understand the fundamentals of machine learning deployment concepts. Learn to configure and manage online and batch ML deployments using Azure CLI. Apply Azure Monitor for effective model performance tracking and troubleshooting. Grasp essential MLOps principles for reliable model lifecycle management. Practice deploying containerized machine learning models. Implement basic CI/CD patterns for automated model deployment workflows. The course begins with core deployment concepts, progresses through practical usage of Azure CLI and Azure Monitor, and concludes with modern MLOps practices for maintaining deployed models. This course is designed for beginners in machine learning or cloud operations who want to learn how to deploy and manage ML models. No prior experience with Azure CLI or machine learning deployment is required. Start building your expertise in robust machine learning operations today.