Learn Mulesoft: 12 steps to master the development of APIs!

Install Java JDK 8 from Oracle to prepare Anypoint Studio and Maven for Java-based projects, set java_home and update the path, then verify with java -version and javac.

install Maven by downloading the binary zip from the Maven site, extracting it, configuring Maven home and M2 home variables, and verifying the version in the terminal.

Learn how to set up version control for MuleSoft projects by installing Git on Windows, initializing a local repository, and connecting to GitHub with remote origin, commits, and pushes.

Install Postman on Windows 64 bit to test MuleSoft API flows, organize tests in a MuleSoft course collection, and send a Google request to verify http status.

Install MariaDB on Windows, set the root password, create and use the MuleSoft_course database, and verify with show databases and show tables, plus access via a graphical sql client.

Download and install Anypoint Studio from the MuleSoft web page, extract the zip, start Anypoint Studio, set the workspace to git repository, and create Project zero on Mole server 4.3.0.

Explore Anypoint Studio, an eclipse based tool for designing MuleSoft apps, using Package explorer, editor, mole palette view, and properties views. Drag event processors to build flows on the canvas.

Build and test a Mule application by configuring an http listener, set path /project zero, and return hello world from set payload, then deploy and verify with curl or postman.

Explore how to build basic Http flows in Mule with the Http listener, using wildcard paths and parameters, test with Postman, and debug step-by-step to view event processors' outputs.

Master HTTP listener URI parameters in a MuleSoft flow by reading the id from the request path, logging via XML, and testing with curl.

Set up an http listener to handle get requests, retrieve and output query parameters as json using a payload transformer, while logging the flow name for debugging.

Configure and test an HTTP request in a Mule flow using a global element, static and dynamic query parameters, and the request component; debug and manage timeouts.

Navigate your workspace, check untracked files with git status, and commit each project with git add, git commit, and git push to GitHub.

Master basic DataWeave functions to access and transform payloads in mobile applications, using header and body structures, variables, and core operations like sum, avg, is even, and case conversions.

Learn to read file content in DataWeave with read URL and read function using a sample JSON payload in the resources folder, and explore metadata types for input and output.

Master dataweave basics for accessing and transforming arrays and objects using map, pluck, and filter; index and value mapping, and applying multi-criteria filters with size checks.

Master DataWeave selectors for objects and arrays by exploring single value, multiple value, descendant, key-value pair, and index selectors to navigate and extract values.

Explore dataweave string selectors by using the index selector to fetch a character at position zero and the range selector to extract a substring, with results output as json.

Explore Dataweave lambdas and anonymous functions, declare functions, use map with named and anonymous parameters, and learn why lambda default argument values may harm readability.

Explore intermediate lambdas in Dataweave to map and merge fields from two arrays into a JSON book object with author names, then filter to extract prices above 15.

Commit your changes with a clear message using git status, commit, and push, then verify the GitHub repository, while reviewing Dataweave concepts like selectors and lambdas.

Learn to create and use yaml and .properties configuration files in a MuleSoft app, load them via global properties, and substitute values with property placeholders for environment-specific settings.

Create four environment-specific configuration files for dev, test, uat, and prod, plus a common properties file, and update xml to reference them while loading the config based on environment variables.

Save and push property files by using git commands, including git status, git add, git commit -m 'property files', and git push to the GitHub repository.

Explore asynchronous queue communication in MuleSoft by configuring a transient queue named queue basic, an http listener, and publish and listen flows, then test with Postman and curl.

Master dynamic routing with async queue communication in mulesoft, using http listener, ml flows, and a publisher that routes messages to queue a or queue b based on payload properties.

Finish the connector section by pushing VM connector examples to GitHub. Run git status, git add, git commit -m message, and git push to update the repository.

Set up a test MariaDB database, create a customers table with an auto-incrementing id and name, insert sample data, and verify results via a select in the MariaDB client.

Configure a MySQL connection in a Mule flow, read customers with a get request, and convert Java results to JSON, while experimenting with size and max results.

Retrieve data by condition using input parameters in the where clause to prevent SQL injection and boost performance; use a move flow with a choice router to handle no results.

Learn to build a database insert flow in MuleSoft by posting to /customers, constructing a customer object, and using an insert component with auto-incremented IDs to return the generated ID.

Use the database update component to modify a customer's name by sending a put request with the customer id and new name, validate affected rows, and return success or failure.

Design and test a delete data flow using http delete, a sql delete from customers by id, and a payload check to return success or error.

Commit the MuleSoft database connector project to a GitHub repository, perform crud operations on the MuleSoft database, and push the changes to GitHub.

Configure the file connector and global file settings to write a dynamic csv file. From a post request, include a dynamic file name.

Use a file poller with the on new or update file connector to trigger a Mule flow, filtering by created timestamp and logging file name, creation and last modified times.

Move a file to the read folder using a mule flow with http listener and move connector, driven by a dynamic file name parameter.

Learn to read files by building a flow with an http listener, configuring /read/file, dynamically setting the file name, logging content, and returning json payload for file reads.

Create a new flow with a list connector to list files in the path slash list files basic and restrict the load method to get. Log the payload.

Learn to list files and folders with the List Connector in a MuleSoft flow, split the payload, distinguish files from folders, and log json outputs for API testing.

Commit your ML project to GitHub by pulling updates, checking status, staging the files folder and the ML project, writing a clear commit message about the file connector, and pushing.

Explore the default error handling behavior in a Mule application by configuring a listener and http request, observing how errors propagate to the flow default handler and appear in Postman.

Master internal error handling in MuleSoft by building on error continue and on error propagate flows, logging error details, configuring any error type, and returning tailored payloads.

Configure a global error handler in the flow, define a global xml with onerror propagate and onerror continue, and log payloads. Test with postman to verify error routing.

Explore internal error handlers in a sub flow, update error paths with flow references, and log http requests to observe on error continue and error propagate behavior.

Configure a MuleSoft flow to generate and handle errors using the rise component, validating customer ids and raising custom errors for reserved or invalid data.

Learn to commit your error handling project to a GitHub repository by using git bash, checking status, crafting a commit message, and pushing changes.

Design and define an API specification in Anypoint Design Center using RAML, detailing /artists and /artists/{artistId} with CRUD operations, optional channels query, and a mocked base URI.

Learn to modularize RAML specs by creating reusable fragments for data types, such as artist objects with id, name, and genre, and to publish and import them via exchange dependencies.

Learn to define RAML API examples by creating artist request and response samples, organizing them in an examples folder, including them in the spec, and testing with a mocking service.

Publish the API specification to the private exchange to enable internal testing and feedback from other developers, then optionally share publicly for external teams.