Microsoft Certified: Designing and Implementing a Data Science Solution on Azure

Course Overview:

Use Azure Machine Learning to discover how to manage machine learning systems at cloud scale. This course shows you how to use your existing Python and machine learning experience to handle data preparation and ingestion, model training and deployment, and monitoring of machine learning solutions on Microsoft Azure.

Prerequisite:

You should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure.

Also, you should have knowledge and experience in data science by using:

• Azure Machine Learning
• MLflow

Audience:

Data Scientist

Topic 1: Machine learning solution

• Machine learning solution
• Azure Machine Learning workspace
• Data in an Azure Machine Learning workspace
• Compute for experiments in Azure Machine Learning

Topic 2: Data, and train models

• Data assets and data stores
• Azure Machine Learning designer
• Optimal models
• Custom model training
• Tune hyperparameters

Topic 3: Model for deployment

• Model training scripts
• Training pipelines
• Manage models

Topic 4: Deploy and retrain a model

• Deploy a model
• Machine learning operations (MLOps) practices