Anypoint Platform Development: Fundamentals (Mule 4) Training Course

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Anypoint Platform Development: Fundamentals (Mule 4) Course Overview

Anypoint Platform Development: Fundamentals (Mule 4) training course is designed for developers and architects who want to learn how to use Anypoint Platform to build APIs and integrations. In this training class, you will also learn how to use Anypoint Platform to discover, consume, design, build, deploy, manage, and govern APIs and how to use Mule 4 and Anypoint Studio to build applications for use as API implementations and integrations.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

  • 1. Do you have limited Window for training?
  • 2. Can you only spend 4-hours per day?
  • 3. Do you want to start training immediately?
  • If your answer is yes to any one of the above, you need 1-on-1- Training
The 1-on-1 Advantage
Methodology
Flexible Dates
4-Hour Sessions
  • • View video
  • • The course will be free if we are not able to start within 7 days of booking.
  • • Only applicable for courses on which this logo appears.

You will learn:

Module 1: 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
  • 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
  • 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 the private Anypoint Exchange
  • Create public API portals for external developers
  • 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
  • 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
  • Log event data
  • Debug Mule applications
  • Read and write event properties
  • Write expressions with the DataWeave expression language
  • Create variables
  • Create applications composed of multiple flows and subflows
  • Pass events between flows using asynchronous queues
  • Encapsulate global elements in separate configuration files
  • Specify application properties in a separate properties file and use them in the application
  • Describe the purpose of each file and folder in a Mule project
  • Define and manage application metadata
  • Consume web services that have an API (and connector) in Anypoint Exchange
  • Consume RESTful web services
  • Consume SOAP web services
  • Pass parameters to SOAP web services using the Transform Message component
  • Transform data from multiple services to a canonical format
  • Multicast events
  • Route events based on conditions
  • Validate events
  • Handle messaging errors at the application, flow, and processor level
  • Handle different types of errors, including custom errors
  • Use different error scopes to either handle an error and continue execution of the parent flow or propagate an error to the parent flow
  • Set the success and error response settings for an HTTP Listener
  • Set reconnection strategies for system errors
  • Write DataWeave expressions for basic XML, JSON, and Java transformations
  • Write DataWeave transformations for complex data structures with repeated elements
  • Define and use global and local variables and functions
  • Use DataWeave functions
  • Coerce and format strings, numbers, and dates
  • Define and use custom data types
  • Call Mule flows from DataWeave expressions
  • Store DataWeave scripts in external files
  • Read and write files
  • Trigger flows when files are added, created, or updated
  • Trigger flows when new records are added to a database table
  • Schedule flows to run at a certain time or frequency
  • Persist and share data in flows using the Object Store
  • Publish and consume JMS messages
  • Process items in a collection using the For Each scope
  • Process records using the Batch Job scope
  • Use filtering and aggregation in a batch step
Live Online Training (Duration : 40 Hours) Fee On Request
Group Training Date On Request
1-on-1 Public We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
Physical Classroom Training with 4 hours /8 hours option is available. Enquire Now!
Can’t Attend Live Online? Buy Flexi For Only $199 (Video Recording of Live Online)
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Ultra-Fast Track

If you can't spare 40 hours. We can offer you an Ultra-Fast Track for 20 hours

Course Prerequisites
  • Experience with an object-oriented language
  • Basic knowledge of data formats such as XML, CSV, and JSON
  • Basic knowledge of typical integration technologies such as HTTP, JMS, JDBC, REST, and SOAP

At the end of this course, students should be able to:

  • Build an application network using API-led connectivity and Anypoint Platform.
  • Use Anypoint Platform to discover, consume, design, build, deploy, manage, and govern APIs.
  • Connect to databases, files, web services, SaaS applications, JMS queues, and more.
  • Add application logic, handle errors, and transform data using DataWeave.
  • Structure applications to facilitate development and deployment.
  • Handle batch data processing.

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