Generative AI Coding Readiness Assessment (Java)

  • Overview
  • Course Content
  • Requirements & Materials
Overview

Generative AI Coding Readiness Assessment (Java)

Course Description

This course provides a structured readiness assessment for learners seeking to integrate Generative Artificial Intelligence (GenAI) into software development workflows responsibly and effectively. Through short instructional modules, diagnostics, and guided exercises, learners evaluate foundational skills in Java programming, object-oriented design, debugging, testing, algorithmic reasoning, prompt engineering, and verification of AI-generated software artifacts. Activities emphasize identifying hidden bugs, recognizing unsafe or inefficient AI-generated solutions, detecting technical debt accumulation patterns, refining prompts, and validating software behavior.

Course Content

MODULE 1: READINESS ASSESSMENT

• Java Fundamentals and Object-Oriented Programming
• Debugging and Logical Verification
• Algorithmic Thinking and Performance Awareness
• Security, Privacy, and Prompt Crafting Foundations

MODULE 2: PROMPT ENGINEERING AND JUNIT PRIMER

• Prompt Engineering for Software Development
• Structured Prompt Design and Iteration
• Practical Prompting Demonstrations
• Tests as Executable Expectations

MODULE 3: AI CRITIQUE AND REPAIR

• Identifying Hidden Bugs In AI-Generated Code
• Performance and Data Structure Evaluation
• Refactoring Over-Engineered Solutions
• Detecting Technical Debt, Silent Failures, and Patch Accumulation

MODULE 4: PROMPT REVISION MICRO-LAB

• Revising Vague Prompts into Structured Specifications
• Constraints and Acceptance Testing
• Prompt Refinement for Development Tasks
• Producing More Reliable AI Outputs

MODULE 5: CAPSTONE AI-ASSISTED WORKFLOW

• Tests-First Development
• Prompt Design and AI Generation
• Verification and Debugging
• Readiness Scoring and Interpretation

Learners conclude the course by completing an end-to-end AI-assisted development workflow and generating a personalized readiness profile.

Requirements & Materials

Prerequisites

RECOMMENDED:

REQUIRED:

  • Demonstrated ability to read, interpret, and develop basic programs using the Java programming language
  • Foundational understanding of object-oriented programming concepts, including classes, objects, methods, and control flow constructs

Materials

REQUIRED (Student must provide):

* Computer with internet access
* Java 17 (or later) installed
* Java IDE or editor (e.g., IntelliJ IDEA, VS Code, Eclipse)

PROVIDED (Student will receive):

• Video lectures and demonstrations
• Coding exercises and quizzes
• Prompt engineering templates
• Model solutions and worked examples
• Readiness rubrics and scoring materials
• Capstone activity instructions and evaluation guidance

Who Should Attend

This course is designed for undergraduate computing students, early-career software developers, and learners with foundational knowledge of Java programming who want to assess their readiness to use generative artificial intelligence (GenAI) effectively in software development workflows. It is intended for individuals preparing for internships, project-based work, or professional software engineering roles and seeking to strengthen their ability to critically evaluate, verify, and responsibly integrate AI-generated software solutions.

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What You Will Learn

  • Assessment of readiness for AI-Assisted Software Development
  • Building an Effective AI Collaboration and Evaluation Skills
  • Evaluation of AI-Generated Code for Correctness and Quality
  • Detection of Hidden Bugs, Technical Debt, and Unsafe AI Patterns
  • Application Structured Prompt Engineering for Development Tasks
  • Strengthening of Debugging, Testing, and Verification Skills
  • Analysis of Software Quality, Design, and Performance Tradeoffs
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How You Will Benefit

  • Evaluate AI-generated software outputs with greater confidence and critical awareness.
  • Strengthen foundational programming, debugging, and testing practices that remain essential in AI-assisted development.
  • Identify hidden bugs, technical debt, and misleading fixes introduced by AI-generated code.
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    Taught by Experts in the Field

TRAIN AT YOUR LOCATION

We enable employers to provide specialized, on-location training on their own timetables. Our world-renowned experts can create unique content that meets your employees' specific needs. We also have the ability to deliver courses via web conferencing or on-demand online videos. For 15 or more students, it is more cost-effective for us to come to you.

  • Save Money
  • Flexible Schedule
  • Group Training
  • Customize Content
  • On-Site Training
  • Earn a Certificate
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