CloudAcademy

Coding with Java Language Basics

The hands-on lab is part of this learning path

Introduction to Java
course-steps 8 certification 1 lab-steps 5

Lab Steps

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Logging in to the Amazon Web Services Console
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Connecting to the Java Web IDE
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Exercise 1: SimpleClass
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Exercise 2: Methods

Ready for the real environment experience?

DifficultyBeginner
Duration1h 30m
Students23

Description

Lab Overview

This Lab introduces you to the basics of the Java programming language, requiring you to complete the following guided coding exercises:

  • Exercise 1 - SimpleClass: Complete the code required to instantiate a new Employee object, then update the Employee objects Name and Salary fields, and finally print out the state of the Employee object.
  • Exercise 2 - Methods: Update the Employee class, adding constructors, getter and setter methods

Note: Each exercise comes with the fully completed solution code for reference in times of need.

Lab Objectives

Upon completion of this Lab, you will be able to:

  • Write Java code that instantiates new objects
  • Write Java code that updates an object's fields, which changes the state of the object
  • Run and debug the Java code and examine the results that are printed to the console

You should:

  • Be comfortable with using a browser based IDE

Lab Environment

This Lab will start with the following AWS resources provisioned automatically for you:

  • A single EC2 instance, named ide.java.platform.instance, which will have a public IP address attached. This instance will host a web based Java IDE (based on the Visual Code editor).

To achieve the Lab end state, you will be walked through the process of:

  • Using you local browser, access the web based Java IDE served from the ide.java.platform.instance
  • Completing the 2 lab exercises:
    • Exercise 1 - SimpleClass
    • Exercise 2 - Methods

About the Author

Students6530
Labs13
Courses44
Learning paths9

Jeremy is the DevOps Content Lead at Cloud Academy where he specializes in developing technical training documentation for DevOps.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 20+ years. In recent times, Jeremy has been focused on DevOps, Cloud, Security, and Machine Learning.

Jeremy holds professional certifications for both the AWS and GCP cloud platforms.