MLOps is essential for bridging the gap between data science and operations, enabling organizations to deliver reliable and scalable machine learning solutions that drive real-world impact.

In this session, we will explore the powerful capabilities of Azure Machine Learning Studio (AML) and learn how to leverage its features to build robust and efficient end-to-end MLOps solutions. AML provides a comprehensive set of tools and services to support the entire ML lifecycle, from data preparation and model training to deployment and monitoring including advanced deployment techniques such as green/ blue deployment.

By the end of this session, you will possess a comprehensive understanding of Azure ML Studio and its potential for constructing end-to-end MLOps solutions. Whether you are a data scientist, ML engineer, or a DevOps professional, this session is designed to equip you with the essential tools, knowledge, and best practices needed to harness the true power of Azure ML Studio and drive successful MLOps initiatives in your organization.