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Empower your machine learning endeavors with MLOps practices using Azure Machine Learning. This hands-on, instructor-led training is aimed at data scientists and focuses on automating ML workflows, model management, and operational excellence.
Designed for data scientists, this course is a deep dive into the fusion of machine learning and operations known as MLOps. Using Azure Machine Learning and Azure DevOps, this training helps you automate, manage, and streamline your ML lifecycle.
What You Will Achieve:
• Master reproducible ML workflows.
• Manage ML lifecycle seamlessly.
• Keep track of model version history and assets.
• Skillfully deploy production-ready ML models.
Prior experience with Azure Machine Learning.
*We know each team has their own needs and specifications. That is why we can modify the training outline per need.
1. Introduction and Overview:
2. Preparing the MLOps Environment:
3. Model Reproducibility:
4. Containers and Deployment:
5. Automation in Operations:
6. Governance and Control:
7. Summary and Conclusion:
Hands-on learning with expert instructors at your location for organizations.
Master new skills guided by experienced instructors from anywhere.
