Work with real Java problems
Practice reasoning about services, tests, stack traces, unfamiliar code, and refactoring decisions.
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.
Your prompt
Analyze this failure using only the code and stack trace provided. Give me three testable hypotheses...
Evidence-based analysis
Hypothesis 1 is supported by the exception, but the supplied code does not establish the root cause...
This is not another introduction to ChatGPT. It is a practical course about using AI inside real software engineering workflows.
Practice reasoning about services, tests, stack traces, unfamiliar code, and refactoring decisions.
Separate evidence from assumptions, control scope, challenge weak answers, and verify before you trust.
Every module includes an assessment designed to test how you actually use and evaluate AI.
The curriculum
Start with the fundamentals of trustworthy AI-assisted engineering and build toward larger, more ambiguous Java work.
Build the judgment needed to use AI effectively without treating its output as authoritative.
Give AI the right context, constraints, evidence, and output expectations for useful engineering work.
Trace behavior across classes, separate evidence from assumptions, and interrogate unfamiliar systems.
Turn logs, exceptions, and code into testable hypotheses instead of jumping straight to speculative fixes.
Use AI to strengthen tests while keeping verification and engineering judgment in your hands.
Evaluate design suggestions, control scope, preserve behavior, and avoid unnecessary architecture.
Bring the techniques together for larger, ambiguous engineering tasks that require disciplined reasoning.
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
Prompt writing challenge
A production service throws a null-pointer exception during rescheduling. Write the prompt you would use to investigate it safely.
How it works
Short, focused lessons teach practical AI-assisted engineering habits you can immediately use.
Work through code, debugging evidence, prompts, tests, and realistic engineering decisions.
Score 80% or better to complete the module and unlock the next stage of the course.
Certificate of Completion
Awarded after completing the full course and satisfying all course requirements.
AAI-JAVA-XXXXXXXXXXXX
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
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
One-time purchase
FAQ
You should already understand basic Java development. The course is designed for developers, not complete programming beginners.
No. We start with the engineering habits that make AI useful and build toward more advanced workflows.
Most developers should expect roughly 5–7 hours. The course is self-paced, so you can work through it on your own schedule.
They go beyond multiple choice. You will also write prompts and critique AI responses, with structured AI-assisted grading and feedback.
Each module assessment requires a score of 80% or higher before you progress through the course.
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.
Build practical AI skills for the Java work you actually do.