Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you'll use and creating an optimal working environment for your development team.
By the end of this module, you'll be able to:
- Identify common AI capabilities that you can implement in applications
- Describe Azure AI Services and considerations for using them
- Describe Azure AI Foundry and considerations for using it
- Identify appropriate developer tools and SDKs for an AI project
- Describe considerations for responsible AI
Learn to create and consume Azure AI services.
After completing this module, you'll able to:
- Create Azure AI services resources in an Azure subscription.
- Identify endpoints, keys, and locations required to consume an Azure AI services resource.
- Use a REST API and an SDK to consume Azure AI services.
Learn to secure Azure AI services.
After completing this module, you will know how to:
- Consider authentication for Azure AI services
- Manage network security for Azure AI services
Learn to monitor Azure AI services.
After completing this module, you will be able to:
- Monitor Azure AI services costs.
- Create alerts and view metrics for Azure AI services.
- Manage Azure AI services diagnostic logging.
Learn to deploy Azure AI services in containers
After completing this module, learners will be able to:
- Create containers for reuse
- Deploy to a container and secure a container
- Consume Azure AI services from a container
As the amount of user-generated online content increases, so does the need to ensure harmful material is moderated effectively. Azure AI Foundry Content Safety resource includes features to help organizations moderate and manage both user-generated and AI-generated content.
By the end of this module, you'll be able to:
- Describe Azure AI Foundry Content Safety.
- Describe how Foundry Content Safety operates.
- Describe when to use Foundry Content Safety.

Syllabus

Plan and prepare to develop AI solutions on Azure
- Introduction
- What is AI?
- Azure AI services
- Azure AI Foundry
- Developer tools and SDKs
- Responsible AI
- Exercise - Prepare for an AI development project
- Module assessment
- Summary
Create and consume Azure AI services
- Introduction
- Provision an Azure AI services resource
- Identify endpoints and keys
- Use a REST API
- Use an SDK
- Exercise - Use Azure AI services
- Module assessment
- Summary
Secure Azure AI services
- Introduction
- Consider authentication
- Implement network security
- Exercise - Manage Azure AI Services Security
- Module assessment
- Summary
Monitor Azure AI services
- Introduction
- Monitor cost
- Create alerts
- View metrics
- Manage diagnostic logging
- Exercise - Monitor Azure AI services
- Module assessment
- Summary
Deploy Azure AI services in containers
- Introduction
- Understand containers
- Use Azure AI services containers
- Exercise - Use a container
- Module assessment
- Summary
Use AI responsibly with Azure AI Foundry Content Safety
- Introduction
- What is Content Safety
- How does Azure AI Foundry Content Safety work?
- When to use Azure AI Foundry Content Safety
- Exercise - Implementing Azure AI Foundry Content Safety
- Module assessment
- Summary