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Program Syllabus

AI for QA & Test Engineers

Plan, write, and analyze tests faster, while keeping your own judgment in charge of quality.

Hands-on with Claude and ChatGPT | 16 guided hours | Live online or in person

  • Turn requirements into stronger test cases

  • Generate test data and automation scripts

  • Analyze failures and write clear defect reports

  • Check AI output for missed risks

  • Choose a track for growing in your role or finding your next one

Target Audience

  • Manual testers who want to work faster with AI

  • Automation engineers maintaining test suites

  • QA analysts working from changing requirements

  • Working QA professionals seeking growth or promotion

  • QA and test engineers looking for work

AI for QA & Test Engineers Overview

This hands-on course builds on the experience you already have, so it does not start you from zero. Across eight Skill Sprints, you use Claude and ChatGPT with a practice application to analyze requirements, design tests, build automation, investigate failures, and report quality clearly. Every Skill Sprint ends with a small result you can use, explain, or build on.

  • Mostly hands on: you build each skill by doing it

  • A checking habit: you learn to catch AI errors before they matter

  • Guidance throughout: progress reviews show where you need support and what to do next

  • Two tracks: choose workplace growth or job search, with shared skills at the core

Delivered using OCA’s Skill Sprint™ Method with hands-on practice, real-world exercises, and instructor-led feedback.

Prerequisites

The following are needed before you start:

  • Working experience in manual or automated software testing, however recent

  • A computer with internet access

  • Claude and ChatGPT accounts, with the plans confirmed before you start

  • Looking for Work track: your current resume and LinkedIn profile

All practice applications and sample requirements are included in your course material, so you never need to use confidential or employer data. This course is designed and delivered independently by Ohio Computer Academy and is not affiliated with or endorsed by Anthropic or OpenAI.

Outcomes

By the end of this course, you will be able to:

  • Explain how AI works, why it makes mistakes, and what is safe to share

  • Turn requirements into risk based test cases

  • Generate and review test data and automation scripts

  • Investigate failures and write clear defect reports

  • Working track: make test case writing and defect reporting faster and easier to document, and show the value of your work to your QA lead and stakeholders

  • Looking for Work track: present your experience on LinkedIn, on your resume, and in interviews, and run a daily routine of practice, connections, applications, and follow ups

Workplace Applications & Career Skills

The skills learned in this course apply directly to:

  • Requirements review

  • Test case design

  • Test data creation

  • Test automation

  • Defect analysis and reporting

  • Release quality summaries

  • QA Analyst and Tester roles

  • Test Automation Engineer roles

  • Technical interviews and test walkthroughs

Curriculum

For people with experience in this field who want to return to it or move into a new role. Skill Sprints 2 to 4 are the same in both tracks, and each track runs as its own cohort.

Download the Looking for Work brochure

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$850   
  • Instructor-Led: Live Online or In Person

  • 16 Total Hours

  • 8 Skill Sprints

  • Working Experience in the Field

  • Two Tracks to Choose From

  • Real-World Project

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Why This Course Is in Demand

AI can produce long lists of test cases quickly, but volume is not coverage, and missed risks still reach users.

AI for QA & Test Engineers builds these skills through practical work, with a habit of checking AI output before it is used.