- Learning Path Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
- AI
- Cloud
Azure Machine Learning
This path introduces you to Azure Machine Learning, Microsoft’s robust platform for building, training, and managing custom machine learning models at scale. While applied AI services handle familiar challenges out of the box, Azure ML gives data professionals the full flexibility to tackle complex or evolving problems. Designed for learners with foundational knowledge of ML, Python, and Azure, this path offers practical insights across roles—enabling both cloud engineers and data scientists to work more confidently with Azure ML without requiring deep specialization up front.
Content in this path
Essentials
This section provides a concise introduction to the core features and functionality of Azure Machine Learning. It covers fundamental concepts, basic workflows, and an overview of the platform's capabilities, offering a solid foundation to help you understand how to effectively leverage Azure Machine Learning.
Deep Dive
In this section, you'll explore Azure Machine Learning in greater detail by tackling more advanced use cases and complex scenarios. You'll learn best practices, delve into sophisticated configurations, and uncover optimization strategies, empowering you to maximize your expertise and build scalable, enterprise-grade solutions with Azure Machine Learning.
- 1. How to configure and manage Azure ML workspaces, compute clusters, and data assets effectively.
- 2. How to build, execute, and monitor machine learning experiments and pipelines using both the Azure ML Studio and SDK.
- 3. How to integrate machine learning models into enterprise workflows, including best practices for model deployment, versioning, and operational monitoring.
- Learners should have a foundational understanding of machine learning concepts and basic proficiency in Python. Familiarity with core cloud computing principles and a basic working knowledge of the Azure platform—such as understanding Azure Resource management, storage, and compute services—will enhance the learning experience and help you get the most out of this path.
- microsoft azure
- machine learning
- MLOps
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