Master Machine Learning in Azure

Unlock the full potential of Microsoft Azure for your machine learning initiatives. This comprehensive program moves beyond theoretical concepts, providing you with the practical expertise to design, implement, and manage robust ML solutions. From foundational services to advanced MLOps, gain the confidence to drive innovation with Azure ML.

What You Will Learn

This course is engineered for professionals seeking to build and operationalize machine learning models on an enterprise-grade cloud platform. You will gain a deep understanding of Azure Machine Learning service capabilities, including automated ML, data management, and compute infrastructure setup. We demystify complex concepts, presenting them in an accessible yet rigorous manner.

Progress through practical, hands-on modules that cover the entire machine learning lifecycle in Azure. Learn to effectively manage datasets, deploy models, and implement MLOps practices to ensure scalability and reliability. By the end of this program, you will possess the skills to confidently design, develop, and deploy sophisticated ML solutions in real-world scenarios.

Whether you’re preparing for certification or looking to enhance your project capabilities, this course provides the definitive pathway to mastering Machine Learning in Azure.

Section 1: Exam Essentials

Grasp the fundamental concepts and requirements crucial for Azure ML certification success.

Section 2: Review Questions

Solidify your understanding through targeted review questions and practical challenges.

Section 3: Azure Machine Learning Service

Explore the foundational components and core capabilities of the Azure ML service.

Section 4: Capabilities of Azure AutoML

Discover how Azure Automated ML can accelerate model development and optimization.

Section 5: Data and Compute Services in Azure for Machine Learning

Identify and configure essential Azure services for data storage and compute resources.

Section 6: Managing Datasets in Azure ML

Learn to register, version, and manage datasets effectively within Azure Machine Learning.

Section 7: Model Management and Deployment in Azure

Master the processes for registering, versioning, and deploying your ML models for inference.

Section 8: Managing the Full Lifecycle of ML Models