Curriculum
- 1 Section
- 6 Lessons
- 2 Days
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- Topics6
- 1.1Lessons and Topics Introducing application networks and API-led connectivity Explain what an application network is and its benefits Describe how to build an application network using API-led connectivity Explain what web services and APIs are Make calls to secure and unsecured APIs
- 1.2Introducing Anypoint Platform Describe the benefits of Anypoint Platform and MuleSoft’s approach to be successful with it Describe the role of each component in building application networks Navigate Anypoint Platform Locate APIs and other assets needed to build integrations and APIs in Anypoint Exchange
- 1.3Designing APIs Define APIs with RAML, the Restful API Modeling Language Mock APIs to test their design before they are built Make APIs discoverable by adding them to the private Anypoint Exchange Create public API portals for external developers
- 1.4Building APIs Use Anypoint Studio to build, run, and test Mule applications Use a connector to connect to databases Use the graphical DataWeave editor to transform data Create RESTful interfaces for applications from RAML files Connect API interfaces to API implementations Synchronize changes to API specifications between Anypoint Studio and Anypoint Platform
- 1.5Deploying and managing APIs Describe the options for deploying Mule applications Deploy Mule applications to CloudHub Use API Manager to create and deploy API proxies Use API Manager to restrict access to API proxies
- 1.6Setup requirements A computer with: At least 8-16 GB RAM (16 highly recommended), 2GHz CPU, and 10GB available storage A minimum screen resolution of 1024×768 Internet access to ports 80 and 3306 (with > 5Mbps download and > 2Mbps upload) The latest version of Chrome, Safari, Firefox, or Edge An Anypoint Platform account Anypoint Studio 7.14 or later with embedded Mule 4.4 runtime Advanced REST Client 16.0.1 or later (or any other REST client application)
Building APIs Use Anypoint Studio to build, run, and test Mule applications Use a connector to connect to databases Use the graphical DataWeave editor to transform data Create RESTful interfaces for applications from RAML files Connect API interfaces to API implementations Synchronize changes to API specifications between Anypoint Studio and Anypoint Platform
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Setup requirements A computer with: At least 8-16 GB RAM (16 highly recommended), 2GHz CPU, and 10GB available storage A minimum screen resolution of 1024×768 Internet access to ports 80 and 3306 (with > 5Mbps download and > 2Mbps upload) The latest version of Chrome, Safari, Firefox, or Edge An Anypoint Platform account Anypoint Studio 7.14 or later with embedded Mule 4.4 runtime Advanced REST Client 16.0.1 or later (or any other REST client application)
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