Mulesoft Training in Bangalore

Chapter1: Introducing API-Led Connectivity

•             Identify the problems faced by IT today

•             Describe what API-led connectivity is and its benefits

•             Explain what web services and APIs are

•             Explore API directories and portals

•             Make calls to secure and unsecured APIs

•             Introduce API-led connectivity with Anypoint Platform

•             Explore Anypoint Platform

Chapter2: Designing APIs

•             Define an API with RAML, the Restful API Modeling Language

•             Mock an API to test its design before it is built

•             Create a portal for developers to learn how to use an API

•             Make an API discoverable by adding it to the private Exchange

Chapter3: Building APIs

•             Introduce 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 for an application from a RAML file

•             Connect an API interface to the implementation

Chapter4: Deploying and Managing APIs

•             Describe the options for deploying Mule applications

•             Use properties in Mule 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

Chapter5: Accessing and Modifying Mule Messages

•             Log message data

•             Debug Mule applications

•             Read and write message properties

•             Write expressions with Mule Expression Language (MEL)

•             Create variables

Chapter6: Structuring Mule Applications

•             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

Chapter7: Consuming Web Services

•             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

Chapter8: Handling Errors

•             Describe the different types of exception strategies

•             Handle messaging exceptions in flows

•             Create and use global exception handlers

•             Specify a global default exception strategy

Chapter9: Controlling Message Flow

•             Route messages based on conditions

•             Multicast messages

•             Filter messages

•             Validate messages

Chapter10: Writing DataWeave Transformations

•             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

Chapter11: Connecting to Additional Resources

•             Connect to SaaS applications

•             Connect to files

•             Poll resources

•             Connect to JMS queues

•             Discover and install connectors not bundled with Anypoint Studio

Chapter12: Processing Records

•             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