Practical AI for Java Developers

Get really good at using AI for Java development.

Learn how to use AI for real software engineering work — understanding unfamiliar code, debugging, testing, refactoring, and making better technical decisions.

Not by blindly accepting what the model says. By learning how to question it, constrain it, and verify its work.

7 modules5–7 hoursSelf-pacedCertificate included
JavaService.java
AI ASSIST

Your prompt

Analyze this failure using only the code and stack trace provided. Give me three testable hypotheses...

AI

Evidence-based analysis

Hypothesis 1 is supported by the exception, but the supplied code does not establish the root cause...

Evidence
Verify
Decide
JAVA
AI
JUnit

AI skills for developers who already know how to code.

This is not another introduction to ChatGPT. It is a practical course about using AI inside real software engineering workflows.

Work with real Java problems

Practice reasoning about services, tests, stack traces, unfamiliar code, and refactoring decisions.

Learn judgment, not prompt tricks

Separate evidence from assumptions, control scope, challenge weak answers, and verify before you trust.

Prove what you learned

Every module includes an assessment designed to test how you actually use and evaluate AI.

The curriculum

Seven modules. One practical progression.

Start with the fundamentals of trustworthy AI-assisted engineering and build toward larger, more ambiguous Java work.

01

Using AI Like a Software Engineer

Build the judgment needed to use AI effectively without treating its output as authoritative.

02

Prompting for Real Java Work

Give AI the right context, constraints, evidence, and output expectations for useful engineering work.

03

Understanding Unfamiliar Java Code

Trace behavior across classes, separate evidence from assumptions, and interrogate unfamiliar systems.

04

Debugging Java with AI

Turn logs, exceptions, and code into testable hypotheses instead of jumping straight to speculative fixes.

05

Testing and Verifying with AI

Use AI to strengthen tests while keeping verification and engineering judgment in your hands.

06

Refactoring and Designing with AI

Evaluate design suggestions, control scope, preserve behavior, and avoid unnecessary architecture.

07

Advanced AI-Assisted Java Work

Bring the techniques together for larger, ambiguous engineering tasks that require disciplined reasoning.

Assessments that test more than memorization.

Knowing what a good prompt looks like is different from actually writing one when the problem is ambiguous.

That is why each module mixes traditional questions with practical AI exercises.

Multiple-choice questions that test core concepts

Prompt-writing challenges based on realistic engineering scenarios

AI-response reviews where you identify unsupported or risky advice

Structured feedback on your written answers

Module assessment

Debugging Java with AI

80% to pass

Prompt writing challenge

A production service throws a null-pointer exception during rescheduling. Write the prompt you would use to investigate it safely.

Analyze the failure using the supplied code and stack trace. First, separate what the evidence proves from what is still unknown...
AI-assisted feedbackPRACTICAL

How it works

Learn. Practice. Prove it.

1

Learn the technique

Short, focused lessons teach practical AI-assisted engineering habits you can immediately use.

2

Apply it to Java work

Work through code, debugging evidence, prompts, tests, and realistic engineering decisions.

3

Pass the assessment

Score 80% or better to complete the module and unlock the next stage of the course.

Certificate of Completion

Applied AI Skills for Java Development

Awarded after completing the full course and satisfying all course requirements.

AAI-JAVA-XXXXXXXXXXXX

Finish with something you earned.

Complete all seven modules and pass the required assessments to receive your course certificate.

The certificate represents completion of the course and demonstrated performance on its assessments — not simply watching videos or clicking through slides.

Simple pricing

One course. One payment. Learn at your own pace.

Get access to the complete Practical AI for Java Developers course, all seven module assessments, AI-assisted grading, and the course certificate.

Practical AI for Java Developers

$49.99

One-time purchase

All 7 course modules
Practical module assessments
AI-assisted written feedback
Self-paced course access
Certificate of Completion
Start learning

FAQ

Before you start

Do I need to be an experienced Java developer?

You should already understand basic Java development. The course is designed for developers, not complete programming beginners.

Do I need previous AI experience?

No. We start with the engineering habits that make AI useful and build toward more advanced workflows.

How long does the course take?

Most developers should expect roughly 5–7 hours. The course is self-paced, so you can work through it on your own schedule.

What are the assessments like?

They go beyond multiple choice. You will also write prompts and critique AI responses, with structured AI-assisted grading and feedback.

What do I need to pass?

Each module assessment requires a score of 80% or higher before you progress through the course.

Do I receive a certificate?

Yes. After completing the full course and passing the required assessments, you can earn a Certificate of Completion for Applied AI Skills for Java Development.

Use AI faster. Trust it less. Engineer better.

Build practical AI skills for the Java work you actually do.

Start the course