* Why Mulesoft?

* What is API-led connectivity.

* Benefits of Mulesoft

* What is Anypoint Platform?

* What is a web service and APIs

* APIs: Directories and portals

* APIs: Make calls to secure and unsecured APIs

* Introduce API-led connectivity with Anypoint Platform

* API with RAML?
* What is Restful API Modeling Language?
* Mock an API: Test its design before it is built
* Create a portal for developers
* How to use an API?
* Make an API discoverable by adding it to the private Exchange

* What are Mule applications, flows, messages, and message processors?
* Use Anypoint Studio to create a flow graphically
* Build, run, and test a Mule application
* Use a connector to connect to a database
* Use the graphical DataWeave editor to transform data
* Create a RESTful interface from a RAML file
* Connect an API interface to the implementation

* How to deploy Mule applications
* Use properties in Mulesoft applications so they can be easily moved between environments
* Deploy a Mule application to the cloud
* Create and deploy a proxy for an API in the cloud
* Restrict access to an API proxy
* PART 2: Building Applications with Anypoint Studio

* Log message data
* Debug Mule applications
* Read and write message properties
* Write expressions with Mule Expression Language (MEL)
* Create variables

Create and reference flows and subflows
* Pass messages between flows using the Java Virtual Machine (VM) transport
* Investigate variable persistence through subflows and flows and across transport barriers
* Encapsulate global elements in separate configuration files
* Explore the files and folder structure of a Mule project

* Consume RESTful web services with and without parameters
* Consume RESTful web services that have RAML definitions
* Consume SOAP web services
* Use DataWeave to pass parameters to SOAP web services

* Describe the different types of exception strategies
* Handle messaging exceptions in flows
* Create and use global exception handlers
* Specify a global default exception strategy

* Route messages based on conditions
* Multicast messages
* Filter messages
* Validate messages

* Write DataWeave expressions for basic XML, JSON, and Java transformations
* Store DataWeave transformations in external files
* Write DataWeave transformations for complex data structures with repeated elements
* Coerce and format strings, numbers, and dates
* Use DataWeave operators
* Define and use custom data types
* Call MEL functions and Mule flows from DataWeave transformations

* Connect to SaaS applications
* Connect to files
* Poll resources
* Connect to JMS queues
* Discover and install connectors not bundled with Anypoint Studio

* Use the For Each scope to process items in a collection individually
* Use the batch job element (EE) to process individual records
* Trigger a batch job using a poll
* Use a batch job to synchronize data from a legacy database to a SaaS application