AI-200T00: Develop AI cloud solutions on Azure
Course Description
This course teaches developers how to create end-to-end solutions in Microsoft Azure. Participants will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilising Azure storage, implement authentication and authorisation, and secure their solutions by using KeyVault and Managed Identities. Participants will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimising Azure solutions.
Duration: 5 days
Who should attend
This course is designed for developers who build backend and AI‑driven applications on Azure and need practical skills in containerised compute, data services for AI, event‑driven workflows and application security and monitoring.
Explore Azure App Service
Examine Azure App Service Examine Azure App Service plans Deploy to App Service Explore authentication and authorisation in App Service Discover App Service networking features
Configure web app settings
Configure application settings Configure general settings Configure path mappings Enable diagnostic logging Configure security certificates
Scale apps in Azure App Service
Examine autoscale factors Identify autoscale factors Enable autoscale in App Service Explore autoscale best practices
Explore Azure App Service deployment slots
Explore staging environments Examine slot swapping Swap deployment slots Route traffic in App Service
Explore Azure Functions
Discover Azure Functions Compare Azure Functions hosting options Scale Azure Functions
Develop Azure Functions
Explore Azure Functions development Create triggers and bindings Connect functions to Azure services
Explore Azure Blob storage
Explore Azure Blob storage Discover Azure Blob storage resource types Explore Azure Storage security features Discover static website hosting in Azure Storage
Manage the Azure Blob storage lifecycle
Explore the Azure Blob storage lifecycle Discover Blob storage lifecycle policies Implement Blob storage lifecycle policies Rehydrate blob data from the archive tier
Work with Azure Blob storage
Explore Azure Blob storage client library Create a client object Manage container properties and metadata by using .NET Set and retrieve properties and metadata for blob resources by using REST
Explore Azure Cosmos DB
Identify key benefits of Azure Cosmos DB Explore the resource hierarchy Explore consistency levels Choose the right consistency level Explore supported APIs Discover request units
Work with Azure Cosmos DB
Explore Microsoft .NET SDK v3 for Azure Cosmos DB Create stored procedures Create triggers and user-defined functions Explore change feed in Azure Cosmos DB
Manage container images in Azure Container Registry
Discover the Azure Container Registry Explore storage capabilities Build and manage containers with tasks Explore elements of a Dockerfile
Run container images in Azure Container Instances
Explore Azure Container Instances Run containerized tasks with restart policies Set environment variables in container instances Mount an Azure file share in Azure Container Instances
Implement Azure Container Apps
Explore Azure Container Apps Explore containers in Azure Container Apps Implement authentication and authorization in Azure Container Apps Manage revisions and secrets in Azure Container Apps Explore Dapr integration with Azure Container Apps
Explore the Microsoft identity platform
Explore the Microsoft identity platform Explore service principals Discover permissions and consent Discover conditional access
Implement authentication by using the Microsoft Authentication Library
Explore the Microsoft Authentication Library Initialise client applications
Implement shared access signatures
Discover shared access signatures Choose when to use shared access signatures Explore stored access policies
Explore Microsoft Graph
Discover Microsoft Graph Query Microsoft Graph by using REST Query Microsoft Graph by using SDKs Apply best practices to Microsoft Graph
Implement Azure Key Vault
Explore Azure Key Vault Discover Azure Key Vault best practices Authenticate to Azure Key Vault
Implement managed identities
Explore managed identities Discover the managed identities authentication flow Configure managed identities Acquire an access token
Implement Azure App Configuration
Explore the Azure App Configuration service Create paired keys and values Manage application features Secure app configuration data
Explore API Management
Discover the API Management service Explore API gateways Explore API Management policies Create advanced policies Secure APIs by using subscriptions Secure APIs by using certificates
Explore Azure Event Grid
Explore Azure Event Grid Discover event schemas Explore event delivery durability Control access to events Receive events by using webhooks Filter events
Explore Azure Event Hubs
Discover Azure Event Hubs Explore Event Hubs Capture Scale your processing application Control access to events Perform common operations with the Event Hubs client library
Discover Azure message queues
Choose a message queue solution Explore Azure Service Bus Discover Service Bus queues, topics, and subscriptions Explore Service Bus message payloads and serialization Explore Azure Queue Storage Create and manage Azure Queue Storage and messages by using .NET
Monitor app performance
Explore Application Insights Discover log-based metrics Instrument an app for monitoring Select an availability test Troubleshoot app performance by using Application Map
Develop for Azure Cache for Redis
Explore Azure Cache for Redis Configure Azure Cache for Redis Interact with Azure Cache for Redis by using .NET
Develop for storage on CDNs
Explore Azure Content Delivery Networks Control cache behavior on Azure Content Delivery Networks Interact with Azure Content Delivery Networks by using .NET
Schedule
| Name | Date | Location | |
|---|---|---|---|
| AI-200T00: Develop AI cloud solutions on Azure | 2026-11-12 | Online |
AI-200 AI200 Artificial Intelligence Azure Cloud