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To train a machine learning model with Azure Machine Learning, you need to make data available and configure compute. After training your model and tracking model metrics with MLflow, you can decide to deploy your model to an endpoint for real-time predictions. (DP-3007)

Modules in this learning path:

• Make Data Available Azure Machine Learning
• Work Compute Resources Azure Machine Learning
• Work Environments Azure Machine Learning
• Run Training Script Command Job Azure Machine Learning
• Train Models Training Mlflow Jobs
• Register Mlflow Model Azure Machine Learning
• Deploy Model Managed Online Endpoint

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 274 minutes

Learn how to train machine learning models in notebooks and track your work with MLflow experiments in Microsoft Fabric.

Units in this learning path:

• Introduction
• Train Model
• Mlflow
• Fabric Models
• Exercise
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer, Data Scientist

Level: Beginner

Subjects: Data Management, Machine Learning

Duration: 54 minutes

Learn how to use deep learning libraries like PyTorch in Azure Databricks, and to distribute training by using TorchDistributor

Units in this learning path:

• Introduction
• Deep Learning
• Pytorch
• Horovod
• Exercise Deep Learning
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Scientist

Level: Advanced

Subjects: Data Management, Machine Learning

Duration: 70 minutes

To prepare your machine learning workloads for production, you'll work with scripts. Learn how to train models with scripts in Azure Machine Learning.

Modules in this learning path:

• Run Training Script Command Job Azure Machine Learning
• Train Models Training Mlflow Jobs
• Perform Hyperparameter Tuning Azure Machine Learning Pipelines

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 117 minutes

In this module, you learn various AI-powered tools and how to effectively use them in your training sessions for an optimized learning experience.

Units in this learning path:

• Introduction
• Explore Microsoft AI Powered Tools for Trainers
• Build Training Plans with Microsoft Copilot
• Poster Design with Microsoft Designer
• Knowledge Check
• Summary

Products: AI Services, Azure Machine Learning, Azure Machine Learning Designer, M365 Apps, Azure Translator Text, Azure Translator Speech, Ms Copilot, Language Service

Roles: K 12 Educator, Business User, Higher Ed Educator, Data Engineer, School Leader

Level: Beginner

Subjects: Artificial Intelligence

Duration: 116 minutes

The VEPS series covers the MSLE program providing an understanding of all aspects of the program from joining MSLE, preparing to teach a course, closing out a course, and participating in the MSLE Teams-based community.

Units in this learning path:

• Introduction
• Register Your Course Microsoft Learn Educators Portal
• Learn How Set Up Your Lab Seats Access Azure Credits
• Execute Learn Management System Integration
• Access Technical Training
• Determine How You and Your Students Will Get Certified
• Finalize Course Preparation
• Knowledge Check
• Summary

Products: Azure

Roles: Higher Ed Educator

Level: Advanced

Duration: 47 minutes

Learn how to use Azure Synapse Analytics pipelines to automate and orchestrate data transfer and transformation activities.

Modules in this learning path:

• Build Data Pipeline Azure Synapse Analytics
• Use Spark Notebooks Azure Synapse Pipeline

Products: Azure Synapse Analytics

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 119 minutes

Do you want to know how to transfer general ledger entries to cost accounting in Business Central? This module explains the options and settings to help you create cost entries by transferring general ledger entries.

Units in this learning path:

• 1 Transfer
• 2 Automatic
• 3 Result
• 4 Check
• 5 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Business User, Functional Consultant

Level: Intermediate

Subjects: Finance Accounting

Duration: 24 minutes

Do you want to learn how to transfer items between locations? This module shows how to set up transfer routes and how to transfer items from one location to another.

Units in this learning path:

• 1 Introduction
• 2 Set Up Transfers
• 3 Transfer Items
• Undo Transfer
• 4 Use Direct Transfers
• 5 View Items Transit
• 6 Exercise
• 7 Exercise
• 8 Check
• 9 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Business Applications

Duration: 52 minutes

Discover how to prepare reclassification journal lines to transfer a fixed asset, split an asset, and combine assets.

Units in this learning path:

• 1 Introduction
• 2 Split
• 3 Combine
• 4 Exercise
• 5 Check
• 6 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Finance Accounting

Duration: 36 minutes

This module introduces the data and business scenario that the solution will address. A model-driven app from Microsoft Power Apps will be used as the solution, and the data will be stored in Microsoft Dataverse.

Units in this learning path:

• 1 Introduction
• 2 Model Driven App Solution
• 3 Data Model
• 4 Check
• 5 Summary

Products: Power Platform, Power Apps, Dataverse, Office Excel

Roles: Maker

Level: Beginner

Subjects: Custom App Development

Duration: 19 minutes

Learn how to transform and load event log data for process mining.

Units in this learning path:

• Introduction
• Normalize Event Log Data
• Filter Event Log Data
• Load Event Log Data
• Exercise
• Check
• Summary

Products: Power Automate

Roles: Functional Consultant, Developer

Level: Beginner

Subjects: Data Management

Duration: 43 minutes