Explore digital courses

Azure's Vision service uses advanced algorithms to process images and return information based on the visual features you're interested in. This module teaches you how to use the Azure Vision Image Analysis OCR feature.

Units in this learning path:

• Introduction
• Options for Reading Text
• Using Read API
• Exercise
• Knowledge Check
• Summary

Products: AI Services, Azure Computer Vision, Azure AI Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 45 minutes

Learn how to register an Mlflow model in Azure Machine Learning.

Units in this learning path:

• Introduction
• Log Mlflow Model
• Understand Mlflow Model Format
• Register Model
• Exercise Register Mlflow Model
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 40 minutes

In this course, you will learn about responsible AI practices. First, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempt to overcome and explore the…

In this learning path, you'll embark on an insightful exploration of Microsoft’s Responsible AI framework, learning how to apply ethical principles to the development and use of AI technologies. You start by learning the frameworks that shape Microsoft’s approach to responsible AI, focusing on the commitment to the six responsible AI principles. As you progress, you discover practical ways to integrate these principles into educational environments, ensuring that AI tools not only enhance learning experiences but also uphold values of fairness and privacy. The learning path concludes with hands-on exercises, translating theoretical knowledge into real-world practice. This learning path equips you with the necessary skills to implement responsible AI systems responsibly in any learning environment.

Modules in this learning path:

• Introduction to Microsofts Responsible AI Approach
• Apply Responsible AI Principles
• Embrace Responsible AI

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: 162 minutes

Run a command job with the Azure Machine Learning Python SDK v2.

Units in this learning path:

• Introduction
• Convert Notebook Script
• Run Script Command Job
• Use Parameters Command Job
• Exercise Run Training Script Command Job
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 37 minutes

Learn how to create and use components to build pipeline in Azure Machine Learning. Run and schedule Azure Machine Learning pipelines to automate machine learning workflows.

Units in this learning path:

• Introduction
• Create Components
• Create Pipeline
• Run Pipeline Job
• Exercise Run Pipeline Job
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 40 minutes

Learn enterprise AI management with our free open online course, including scaling AI.

Units in this learning path:

• Introduction
• Unlock AI Value
• Organize AI Success
• Empower Business Users AI
• Empower Subject Matter Experts AI
• Knowledge Check
• Summary

Products: Azure, M365

Roles: Business Leader, Business Owner

Level: Beginner

Subjects: Artificial Intelligence

Duration: 23 minutes

Use Azure Data Factory to add data that resides inside or outside the Azure platform into your search indexes.

Units in this learning path:

• Introduction
• Index Data from External Data Sources Factory
• Index Any Data Using Push API
• Exercise Add to Index Using Push API
• Knowledge Check
• Summary

Products: Azure, Azure Cognitive Search

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 37 minutes

This course teaches how to build production‑ready AI infrastructure using Microsoft Foundry Hubs and Projects, applying enterprise security controls, network isolation, managed identities, and container governance to enable compliant, scalable AI development across organizations.

Modules in this learning path:

• Implement Secure AI Ready Infrastructure Azure Services
• Secure Azure Openai Content Safety Controls
• Implement Identity Based Security Azure Machine Learning
• Implement Security Controls Azure AI Ready Infrastructure

Products: Azure

Roles: Administrator

Level: Intermediate

Subjects: Artificial Intelligence, Infrastructure

Duration: 254 minutes

This course helps you understand some common issues of around security, compliance, and governance associated with artificial intelligence (AI) solutions. You will learn how to recognize governance and compliance requirements for AI systems. You…

Customer data comes in all shapes and forms and from every direction. It's more critical than ever to connect and process all of that data, so that you can enable more data-driven decisions. In this course, Glenn Gillen will show you how to…

Forecast customer payments, cash flows, and budget proposals in Dynamics 365 Finance with intelligent machine learning.

Units in this learning path:

• Introduction
• Create Data Integration Project
• Set Up Finance Insights
• Enable Customer Payment Predictions
• Enable Cash Flow Forecasting
• Enable Budget Proposals
• Improve Your Predictions
• Check
• Summary

Products: Dynamics 365, Dynamics Finance

Roles: Functional Consultant

Level: Intermediate

Subjects: Finance Accounting, Artificial Intelligence

Duration: 70 minutes