Fundamentals Mule4 Course

Fundamentals (Mule 4) Training

This instructor-led course is for developers and architects who want to get hands-on experience using Anypoint Platform to build APIs and integrations.

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Fundamentals Mule4 Training UpComing Batches

Apr-18 - May-30


Timings: 07:00 AM To 10:00 AM (IST)

350.00     Enroll Now

Apr-11 - May-23


Timings: 20:30 PM To 23:30 PM (IST)

350.00     Enroll Now

Apr-20 - Jun-01


Timings: 07:00 AM To 10:00 AM (IST)

350.00     Enroll Now

Apr-27 - Jun-08


Timings: 20:30 PM To 23:30 PM (IST)

350.00     Enroll Now

May-04 - Jun-15


Timings: 07:00 AM To 10:00 AM (IST)

350.00     Enroll Now

May-11 - Jun-22


Timings: 20:30 PM To 23:30 PM (IST)

350.00     Enroll Now

Course Curriculum

Fundamentals (Mule 4) Training


This instructor-led course is for developers and architects who want to get hands-on experience using Anypoint Platform to build APIs and integrations.

  • WEEK 5-6
  • 10 Modules
  • 6 Hours
Course Content

  • 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.
  • Explore API Directories and Portals.
  • Make Calls to Secure and Unsecured APIs.

  • Identify all the Components of Anypoint Platform.
  • 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.
  • Build basic integrations to connect systems using flow designer.

  • 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 Anypoint Exchange.
  • Create API portals for developers to learn how to use APIs.

  • Use Anypoint Studio to Create Flows Graphically.
  • 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 a RAML File.
  • Connect API Interfaces to API Implementations.

  • Describe the Options for Deploying Mule applications.
  • Deploy Mule Applications to CloudHub.
  • Use API Manager to Create and Deploy API Proxies to CloudHub.
  • Restrict Access to API Proxies.

  • Log Event Data.
  • Debug Mule Applications.
  • Read and Write Event Properties.
  • Understand Test Driven Development Options.
  • Write Expressions with DataWeave.
  • Create Variables.

  • Create and Reference Flows and Subflows.
  • Pass messages between flows using the Java Virtual Machine (VM) transport.
  • Use properties in Mule applications so they can be easily moved between environments.
  • Encapsulate global elements in separate configuration files.
  • Explore the files and folder structure of Mule projects and deployable archives.

  • 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.

  • Route Events Based on Conditions.
  • Multicast Events.
  • Validate Events.

  • Handle Messaging Rrrors in Flows.
  • Handle errors for one or more event processors instead of at the flow level.
  • Create and use Global error handlers.
  • Specify a Default error handler.

  • Write DataWeave expressions for basic and complex XML, JSON and Java transformations.
  • Use DataWeave operators and coerce and format strings, numbers and dates.
  • Define and use Custom Data Types.
  • Simplify and abstract DataWeave code into reusable functions and modules.
  • Call Mule flows from DataWeave Transformations.

  • Connect to JMS Queues.
  • Connect to Files.
  • Connect to SaaS Applications.
  • Poll Resources.

Program Syllabus


You can also view the program syllabus by downloading this program Curriculum.


How will I execute the practicals of Kubernetes certification course?

All the Case Studies and Demos will run on Ubuntu 17.10 VMs. The pre-built VMs and their Installation Guide will be present on LMS once you enroll for the course.Kubernetes is an open-source tool therefore anybody can use it for their lab exercises.

What are the system requirements for this course?

Hardware Requirement(s):- Memory – Minimum 16 GB RAM, processor – Intel Core i5 CPU @2.00 GHz or above, Storage – 250 GB HDD/SDD or above, Software Requirement(s):- Operating System – Windows 7 or above, Ubuntu 14 or above, Latest Version of Oracle Virtual Box Installed, Windows PowerShell 4.0 or above (Install Azure Module), Microsoft Azure SDK for .NET v2.9 (prefer latest).

Course Description

Course Certification

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Instructor-led Sessions

30 Hours of Online Live Instructor-Led Classes.
Weekend Class : 10 sessions of 3 hours each.

Real Life Case Studies

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various real life solutions / services.



Each class will be followed by practical assignments.

24 x 7 Expert Support

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.



Towards the end of the course, OL Tech Edu certifies you for the course you had enrolled for based on the project you submit.

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