Module 1: Develop for asynchronous processing
Lessons
- Implement parallelism multithreading and processing
- Implement Azure Functions and Azure Logic Apps
- Implement interfaces for storage or data access
- Implement appropriate asynchronous computing models
After completing this module, students will be able to:
- Learn to develop for asynchronous processing and how to implement the appropriate asynchronous compute model.
Module 2: Develop for autoscaling
Lessons
- Implement autoscaling rules and patterns
- Implement code that addresses singleton application instances
- Implement code that addresses a transient state
After completing this module, students will be able to:
- Implement autoscaling in your solution and implement code that addresses transient state.
Module 3: Develop long-running tasks
Lessons
- Implement large scale parallel and high-performance apps by using batches
- Implement resilient apps by using queues
- Implement code to address aplication events by using webhooks
- Address continuous processing tasks by using Azure WebJobs
After completing this module, students will be able to:
- Discover how to implement large-scale, parallel and high-performance apps by using batches.
Module 4: Implement distributed transactions
Lessons
- Identify tools to implement distributed transactions
- Manage the transaction scope
- Manage transactions across multiple databases and servers
After completing this module, students will be able to:
- Learn to implement, and manage, distributed transactions.
Module 5: Enable the search of textual content
Lessons
- Create an Azure Search index
- Import searchable data
- Query the Azure Search index by using code
Module 6: Instrument an app or service and implement logging
Lessons
- Configure instrumentation in an app or service
- Configure the logging service
Day 2
Module 1: Manage APIs by using API Management
Lessons
- Analyze recommendations in Security Center
- Create an API Management instance
- Configure authentication for APIs
- Create an API gateway
- Define policies for APIs
- After completing this course, students will be able to:
- Manage APIs by using API Management (APIM)
- Create an APIM instance, configure authentication for APIs, create an API gateway, and define policies for APIs
- Configure a message-based integration architecture by using the services included in Azure.
Module 2: Configure a message-based integration architecture
Lessons
- Configure an app or service to send emails
- Configure an event publish and subscribe model
- Configure the Azure Relay service
- Create and configure a notification hub
- Create and configure an evnt hub
- Create and configure a service bus
- Configure an app or service with Microsoft Graph
- After completing this course, students will be able to:
- Configure an app or service to send email
- Create an event model, topics, and subscriptions
Module 3: Develop an application message model
Lessons
- Create an event model
- Create topics and subscriptions
- After completing this course, students will be able to:
- Develop an application message model including message schema and message exchange.
Day 3 and 4
Module 1: Develop Azure Cognitive Services solutions
Lessons
- Cognitive Services overview
- Develop solutions using Computer Vision
- Develop solutins using Bing Web Search
- Develop solutions using Custom Speech Service
- Develop solutions using QnA Maker
After completing this module, students will be able to:
- Learn to develop solutions using Computer Vision.
- Use speech services and natural language processing in your app.
- Create and manage dictionaries for FAQ generation by using QnA maker.
Module 2: Create and intergrate bots
Lessons
- Azure Bot Service overview
- Create a bot using the Bot Builder SDK for .NET
- Using Language Understanding in your bot
- Register a bot with Bot Service
- Managing a bot using the Azure Portal
After completing this module, students will be able to:
- Leverage Bing Search in your application.
- Create and register simple bot using the Bot Framework, and manage a bot using the Azure Portal.
Module 3: Create and implement IoT solutions
Lessons
- Working with the Azure IoT Hub
- Working with Azure Time Series Insights
- Working with Azure Stream Analytics
After completing this module, students will be able to:
- Configure Azure Time Series Insights for your IoT solution.
- Configure the Stream Analytics Service for inputs and outputs for your IoT device
- Register your device with the IoT Hub Device Provisioning Service
AZ 201 Microsoft Azure Developer Advanced Solutions