Mulesoft Training in Hyderabad | Mulesoft Training in Kukatpally

Kosmik Technologies is the best Training institute offering Mulesoft Training in Hyderabad Kukatpally. We have Industry expert trainers here, they will help students take advantage of real world skills/scenarios. Kosmik's MuleSoft training in kukatpally Hyderabad, has flexible course schedules that suit working jobseekers & professionals.

Pre-Requisites for this MuleSoft training:

In order to get the good knowledge on the MuleSoft Course, explained in the training program, basic Knowledge/Idea's on the following concepts will help you to learn MuleSoft.

      • Knowledge on any Object Oriented Programming Language or Java
      • Minimum Knowledge on Web Services(REST/SOAP)
      • Basic knowledge on HTTP, JDBC, JMS
      • Understanding of Data Formats(CSV, XML & JSON)


mulesoft training in hyderabad

Mulesoft Course Curriculum

Introducing Anypoint Platform

      • Learning what Anypoint Platform is and the problems it can help you solve
      • Getting familiar with the components of Anypoint Platform


Building Integration Applications with Anypoint Studio

      • Understanding Mule applications, flows, messages, and message processors
      • Creating flows graphically using connectors, transformers, components, scopes, and flow control elements
      • Building, running, testing, and debugging Mule applications
      • Reading and writing message properties
      • Writing expressions with Mule Expression Language (MEL)
      • Creating variables



Consuming Web Services

      • Understanding RESTful and SOAP web services
      • Learning about what RAML is and how it can be used
      • Consuming RESTful web services with and without RAML definitions
      • Consuming SOAP web services


Connecting to Additional Resources

      • Connecting to files, databases, and JMS queues
      • Connecting to SaaS applications
      • Discovering and installing connectors not bundled with Anypoint Studio


Transforming Data

      • Getting familiar with the different types of transformers
      • Using the DataWeave Transform Message component
      • Writing DataWeave expressions for basic and complex XML, JSON, and Java
      • Using DataWeave with data sources that have associated metadata
      • Adding custom metadata to data sources



Refactoring Mule Applications

      • Separating applications into multiple configuration files
      • Encapsulating global elements in a separate configuration file
      • Creating and running multiple applications
      • Creating and referencing flows and subflows
      • Understanding variable persistence through subflows and flows and across transport barriers


Handling Errors

      • Handling messaging exceptions in flows
      • Creating and using global exception handlers
      • Specifying a global default exception strategy


Controlling Message Flow

      • Multicasting a message
      • Routing message based on conditions
      • Filtering messages
      • Understanding and creating synchronous and asynchronous flows



Processing Records

      • Processing items in a collection individually
      • Understanding what batch jobs are and when to use them
      • Creating batch jobs to process items in a CSV file or a database
      • Restricting record processing to new records


Building RESTful Interfaces with RAML and APIkit

      • Understanding the benefits of RESTful APIs and web services
      • Using the API Designer to define APIs with RAML
      • Implementing a RAML file as a RESTful web service with Anypoint Studio and APIkit


Deploying Applications

      • Understanding the options for deploying applications
      • Adding application properties
      • Deploying and running applications in the cloud
      • Deploying and running applications on-prem



Transforming Data with DataWeave

      • Transforming Data with DataWeave with Mule 3.7
      • Introduction DataWeave
      • DataWeave data transforming use cases
      • DataWeave integration with Anypoint Studio
      • DWL ( DataWeave Expression Language )