Best MuleSoft Training Course With AI Agents & AI Implications

• • What is ESB?
  • What is Mule Soft
  • Why Mule Soft
  • Mule Soft Futures
  • Current Market Trends
  • History of Mule ESB
  • What is Postman
  • Mule Architecture
  • Mule Message Diagrams
  • Introduction Mule soft versions
  • Core Java Introductions

• • AnyPoint Studio
  • Introduction to Studio
  • Download and Install
  • Exercise-01 Building First Mule Application.
  • Introduction to
  • Mule Applications
  • Mule Flows
  • Running a Mule Application

• • Exercise – 02 Debugging of First Mule Application.
  • File Connector Operations
  • Exercise-03 : New or Update File.
  • Mule Event Model (Event, Payload)

• • Example-04 : Read and move the file, File Names will come as HTTP Query parameter.
  • Mule Event Model (attributes, variable, error)

• • Understand and work with metadata in Mule events.
  • Transform Event Processor.
  • Sense and extract data from incoming payloads.
  • Transform data using DataWeave for different formats (JSON, XML, CSV).
  • Write output to files using the File Connector.
  • Implement best practices for accurate data flow management.
  • Ensure efficient integration of file-based operations in Mule applications.
  • Exercise-05 : New or Update File to write file.
  • Data Sensing & Meta data editor.

• • Flow: Main processing unit in Mule applications that handles events from sources and performs operations.
  • Sub-Flow: Reusable sequence of processing steps that can be invoked by multiple flows but does not have its own trigger.
  • Private Flow: Similar to sub-flows but can only be called within the same application and cannot be triggered externally.
  • Use Cases: Organize logic, improve reusability, and maintain clean architecture in Mule applications.
  • Best Practices: Keep flows modular, use sub-flows for shared logic, and private flows for internal operations.
  • Flow Reference
  • Calling subflow and private flow from Main flow
  • Payload, variable usage between flows and sub flows.
  • Async scope
  • Exercise-06: Calling a sub flow / pvt flow using flow reference. Behaviour of payload and variables in parent and child flows.
  • Introduction to Postman, Sending Payload to flow.

• • Definition: REST (Representational State Transfer) is an architectural style for designing networked applications using HTTP methods.
  • Purpose: Expose MuleSoft flows as web services that can be accessed via standard HTTP requests (GET, POST, PUT, DELETE).
  • Implementation in MuleSoft: HTTP Listener, RAML or API specifications and DataWeave.
  • Best Practices:
    • Follow REST principles (resource-based URIs, proper HTTP methods).
    • Implement security using OAuth 2.0, API keys, or JWT.
    • Include error handling and meaningful HTTP status codes.

• • Database Connector Introduction
    • Overview of MuleSoft Database Connector.
    • Importance of database integration in Mule applications.
  • Database Installation
    • Installing relational databases (MySQL, Oracle, SQL Server, PostgreSQL).
    • Setting up users, schemas, and tables for MuleSoft integration.
  • Connector Operations: Insert & Select
    • Insert: Add new records to the database.
    • Select: Retrieve data from tables using queries.
    • Using DataWeave to transform query results.
  • Exercise 09 – Continuation of REST Service Example with Database Connector
    • Integrate the Database Connector into an existing REST flow.
    • Perform CRUD operations via REST endpoints.
  • Connector Operations: Update & Delete
    • Update: Modify existing records in the database.
    • Delete: Remove records based on conditions.
    • Handle errors and rollback scenarios.
  • Continuation of REST Service Example with Database Connector
    • Complete CRUD functionality in the REST API.
    • Test end-to-end integration of REST endpoints with the database.
    • Validate responses and ensure proper error handling.

• • Definition: The HTTP Request Connector is used to call external APIs or services from a MuleSoft application.
  • Purpose: Enables integration between Mule flows and third-party systems using HTTP methods.
  • Supported Methods:
    • GET → Fetch data from a resource.
    • POST → Send data to create a resource.
    • PUT → Update an existing resource.
    • DELETE → Remove a resource.
  • Configuration:
    • Set host, port, and path in the request.
    • Configure headers, query parameters, and payload.
    • Add authentication (Basic Auth, OAuth 2.0, API keys).
  • Data Handling: Use DataWeave to transform request payloads and responses.
  • Error Handling: Implement retries and manage different HTTP status codes (e.g., 200, 400, 500).
  • Best Practices:
    • Use global configuration for reusability.
    • Secure credentials with Secure Properties.
    • Log request and response details for troubleshooting.

       VM Connector:

• • Definition: VM (Virtual Machine) Connector is used for internal communication between Mule flows within the same Mule runtime.
  • Key Features:
    • Fast and lightweight.
    • Supports queues and publish-subscribe.
    • Only works inside one Mule application/runtime.
  • Use Cases:
    • Decoupling flows within an app.
    • Asynchronous message passing locally.
  • Limitation: Cannot communicate across multiple runtimes.

       JMS Connector:

• • Definition: JMS (Java Message Service) Connector is used to integrate Mule applications with enterprise messaging systems (ActiveMQ, IBM MQ, RabbitMQ, etc.).
  • Key Features:
    • Works across distributed systems.
    • Supports point-to-point (queues) and publish-subscribe (topics).

       Use Cases:

• • Reliable communication between apps/systems.
  • Scalable enterprise-wide messaging.
  • Advantage: Ensures fault tolerance and system-wide integration.

• • Properties File
  • YAML File
  • Secure configuration properties
  • Exercise-13,14,15

• • File Zilla Setup
  • FTP Connector

• • Basic Information
  • Error Handlers
  • Handling errors
    Mapping errors to Custom Error Types
  • Raise Error

• • What is an API?
  • Anypoint Platform
  • Registration
  • Anypoint Platform Introduction (All Modules)
  • Cloud Hub Introduction.
  • Deploying application to cloud hub using studio.
  • Deploying jar file into cloud hub.
  • Any Point Studio
  • Exporting a Jar from studio
  • Importing a Jar into Studio
  • Deployment to cloud hub
  • Designer
  • Exchange
  • Implementation
  • API Manager
  • Simple example end to end
  • Design, Deploy, Manage API.

• • API Creation
  • Basic End Point
  • Proxy with Application
  • Policies (Basic Auth, Rate Limiting, SLA based Rate limiting, Client ID, Client Secret)
  • How and what Anypoint Platform Supports API Led connectivity

• • RAML
  • Resources
  • Types
  • Examples
  • Creating the Student Service mainly using RAML.
  • Advanced concepts of RAML.
  • Resource Types
  • Traits
  • Libraries

• • DataWeave Basics & Core Concepts
    • What is DataWeave?
    • Basic Syntax
    • Data Types
    • Literals
    • Output Types
    • Comments
    • Variables
    • Functions
    • Simple Transformations
  • Advanced DataWeave Operations
    • Conditional Statements
    • Using
    • Array Operations
    • Object Operations
    • Accessing Nested Data
    • Type Coercion & Casting
    • Format Conversion
    • Functions as First-Class Citizens
    • Merging Objects
  • Expert-Level DataWeave
    • Pattern Matching
    • Date & Time Operations
    • Error Handling in DW
    • Multi-Part Transformations
    • Dynamic Keys and Values
    • Reading External Files / Properties
    • Working with CSV
    • Namespaces in XML
    • Reusable Functions & Modules

• • For each
  • Bulk Insert
  • Batch Processing – Basics

• • Connector – Accounts Creation, Retrieving.
  • SFDC integration.

• • Schedule Service.
  • Routers (Choice)
  • Until Successful
  • Object Store
  • Scatter Gather

• • Setting up on premise server
  • Using Domain project.
  • Deployment Models
  • Control Plane – Runtime Plane.

• • Unit testing in Mule

• • Maven Basics
  • Mule Maven Plugin

• • Version Control

• • CI/CD with Jenkins

• • Explain various Mulesoft Certification Options
  • Discuss MuleSoft Certified Developer – Level 1 questions
  • Practice Mulesoft Certification Developer questions on Mulesoft website

• • Explain certification options available in Mulesoft
  • Provide tips on how to prepare for Certification
  • Help with Resume Preparation as Mulesoft Developer/Architect
  • Discuss common interview questions in Mulesoft