Explore digital courses

Train and evaluate classification models

Units in this learning path:

• Introduction
• What Is Classification
• Exercise Model
• Evaluate Classification Models
• Exercise Alternative Classification Metrics
• Multiclass Classification
• Exercise Multiclass Classification
• Knowledge Check
• Summary

Products: Azure

Roles: Data Scientist

Level: Intermediate

Subjects: Machine Learning, Classification Analysis

Duration: 64 minutes

Clustering is a type of machine learning that is used to group similar items into clusters.

Units in this learning path:

• Introduction
• What Is Clustering
• Exercise Model
• Different Types Clustering
• Exercise New Models
• Knowledge Check
• Summary

Products: Azure

Roles: Data Scientist

Level: Intermediate

Subjects: Machine Learning

Duration: 46 minutes

Train and evaluate deep learning models

Units in this learning path:

• Introduction
• Deep Neural Network Concepts
• Convolutional Neural Networks
• Transfer Learning
• Exercise Deep Learning
• Knowledge Check
• Summary

Products: Azure

Roles: Data Scientist

Level: Advanced

Subjects: Machine Learning

Duration: 47 minutes

Regression is a commonly used kind of machine learning for predicting numeric values.

Units in this learning path:

• Introduction
• What Is Regression
• Exercise Model
• Discover New Regression Models
• Exercise Powerful Models
• Improve Models
• Exercise Optimize Save Models
• Knowledge Check
• Summary

Products: Azure

Roles: Data Scientist

Level: Intermediate

Subjects: Machine Learning

Duration: 69 minutes

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

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

This learning path enables students to use Microsoft 365 Copilot and generative AI to simplify tasks, boost productivity, and make smarter decisions. Through practical, no-code scenarios, learners gain confidence in integrating AI into their workflows for high business impact.

Modules in this learning path:

• What Generative AI
• Employ Copilot Assistant
•
• Analyze Visualize Data Copilot
• Manage Meetings Collaboration
• Define Copilot Role Business Workflow

Products: M365, Office 365, Office Excel, Office Outlook, Office Powerpoint, Office Teams, Office Word, M365 Apps, Ms Copilot

Roles: Business User, Business Owner

Level: Beginner

Subjects: Artificial Intelligence, Business Applications, Productivity

Duration: 270 minutes

This course teaches learners how to get started with Microsoft 365 Copilot Chat, craft effective prompts, and use its AI-powered features to enhance productivity, streamline work, and collaborate securely in real-time.

Modules in this learning path:

• Get Started Microsoft 365 Copilot Business Chat
• Write Effective Prompts Do More Prompting
• Work Smarter with Microsoft 365 Copilot Chat

Products: Microsoft 365 Copilot Chat

Roles: Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 101 minutes

In this learning path, business leaders will find the knowledge and resources to adopt AI in their organizations. It explores planning, strategizing, and scaling AI projects in a responsible way.

Modules in this learning path:

• Leverage AI Tools
• Create Business Value
• Embrace Responsible AI Principles Practices
• Scale AI

Products: Azure Openai

Roles: Business Leader, Business Owner

Level: Beginner

Subjects: Artificial Intelligence

Duration: 154 minutes

This Learning Path examines no-code agents in Microsoft 365 Copilot Chat and SharePoint and explores how Microsoft 365 business users can create, manage, and use them. MS-4019

Modules in this learning path:

• Get Started No Code Copilot Agents Sharepoint
• Explore Prebuilt Microsoft 365 Copilot Agents
• Build Manage No Code Copilot Agent Sharepoint
• Use No Code Agents Sharepoint

Products: M365, Office 365

Roles: Administrator, Business User, Developer, Student

Level: Beginner

Subjects: Artificial Intelligence, Business Applications, Productivity

Duration: 232 minutes

Learn how to translate Text with Azure Translator and Azure Database for PostgreSQL.

Units in this learning path:

• Introduction
• Azure AI Translation
• Translate Postgresql Data
• Exercise Translate Text
• Knowledge Check
• Summary

Products: Azure Database Postgresql, AI Services

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 18 minutes

Translate speech with the Azure Speech service

Units in this learning path:

• Introduction
• Speech Service
• Translate Speech Text
• Synthesize Translation
• Exercise Translate Speech
• Knowledge Check
• Summary

Products: AI Services, Azure AI Foundry

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 47 minutes