Train and deploy a machine learning model with Azure Machine Learning

Learn how to build, train, and deploy machine learning models using Azure Machine Learning in this hands-on DP-3007 webinar designed for data professionals and AI practitioners.

Join our DP-3007 webinar to explore how to efficiently train and deploy machine learning models using Azure Machine Learning. This session provides a practical walkthrough of the full ML lifecycle—from data preparation and model training to deployment and monitoring—leveraging Azure’s powerful tools and services.

Curriculum

• Set up Azure ML environment – Create and configure a workspace and compute resources
• Prepare data – Ingest and process data for training
• Train a model – Use Python and MLflow to train and track models
• Manage artifacts – Log and manage model outputs and metrics
• Deploy the model – Publish to an online endpoint for real-time predictions

Who is this webinar for?

• Data Scientists – looking to operationalize machine learning models using Azure tools
• AI/ML Engineers – focused on model training, deployment, and lifecycle management
• Data Analysts – interested in expanding into machine learning workflows
• Developers – integrating ML models into applications and services
• Technical Decision Makers – evaluating Azure ML for enterprise AI solutions

Register here