Challenge 1: Environment Configuration 

In this challenge, you will get your development environment ready to develop serverless applications. 

Learning objectives: 

• Install the required software and pre-requisites to build and test the Azure Functions Locally 

Challenge 2: Create your first serverless function & workflow 

In this challenge, you will create and deploy your first Azure Function and Logic App. 

Learning objectives: 

• Create your first Functions Web API locally and deploy to the Azure cloud 
• Get familiar with the Azure Portal to create resources required to host your APIs 
• Build your first Logic Apps workflow on the portal directly 

Challenge 3: Expand and build a full set of APIs to support business needs 

In this challenge, you will build an API to persist and retrieve data from a data store and configure a CI/CD pipeline. 

Learning objectives: 

• Gain experience building multiple Web APIs that accept and output a different type of data in JSON 
• Experience the local and cloud testing of the APIs by making calls from your local machine 
• Build a Continuous Deployment and Continuous Integration (CI/CD) pipeline from source control 

Challenge 4: Deploy a management layer for APIs to monitor and track your APIs 

In this challenge, you will enable monitoring of the APIs, as well as devise an API management strategy. 

Learning objectives: 

• Learn how you can capture and report telemetry about the APIs that are hosted on the cloud 
• Experience building an API management layer to manage the APIs and expose it through a common base endpoint 

Challenge 5: Build a workflow process 

In this challenge, you will build a business process workflow which integrates with a CRM system. 

Learning objectives: 

• Gain experience using a graphical user interface editor to build Workflows using Logic Apps 
• Experience the drag and drop connectors to bring Line of Business apps to create a flow and notify contacts via emails 

Challenge 6: Process large amount of unstructured data 

In this challenge, you will process files in a batch process and persist to a data store 

Learning objectives: 

• Build solutions to process batch files coming into a storage account 
• Learn how to parse the flat files and store them on a database (structured or unstructured) 

Challenge 7: Process large amount of incoming events 

In this challenge, you will process batches of messages from Event Hub and persist in a data store. You will also extend the monitoring approach created earlier to track the number of running Azure Function instances. 

Learning objectives: 

• Learn how to extend the API’s to parse the JSON sales events and store them in a backend data store 
• Demonstrate how you tracked the number of instances that your Azure Functions scaled up to with App Insights 

Challenge 8: Messaging Patterns and Virtual Network Integration 

In this challenge, you will configure a messaging solution capability of filtering messages, as well as using virtual network integration to save data to a private data store. 

Learning objectives: 

• Learn how to use publisher/subscriber messaging patterns with filtering rules to enable subscribers to process specific messages 
• Build a serverless solution capable of working with Azure resources which utilize virtual network access restrictions 

Challenge 9: Alerting based on user sentiments 

In this challenge, you will integrate machine learning capabilities into the current solution to detect and alert on user sentiment. 

Learning objectives: 

• Leveraging sentiment analysis to assess the user sentiments based on feedback 
• Review the sentiments in batch and alert the responsible contacts what sentiment score products have been receiving 

Challenge 10: Putting it all together 

In this challenge, you will create a report which summarizes key business metrics derived from the full solution.  

Learning objectives: 

• Bring all things together and demonstrate how things flow end to end 
• Report insights on how the products are behaving