The first segment of this beginner-level session will provide an introduction to MLOps and an overview of the machine learning lifecycle, spanning data preparation, model training, deployment, and maintenance.
The subsequent part will shift the focus to hands-on MLOps practices, harnessing the capabilities of Azure ML for seamless integration into your machine learning projects.
Participants will explore various MLOps techniques, including data versioning, experiments, and model tracking, which are essential for ensuring reproducibility and scalability. Moreover, we will explore operationalizing models using Azure ML, empowering attendees to efficiently manage and scale model deployments across your organization.
This session is suitable for anyone interested in MLOps or who wants to learn more about Azure ML's capabilities.