EXPERT QA ACADEMY · BY PAULO OLIVEIRA
The Complete AI Guide for QAs
A practical resource for professionals who want to understand where Artificial Intelligence can support QA work and where human judgement, context and critical thinking are still needed.
What you will find
AI-assisted test planning
Ways to use AI to organise ideas, explore risks and structure testing activities without treating the tool’s answer as automatic truth.
Creating and expanding scenarios
Using prompts and context to explore additional scenarios, including less obvious cases that still need human analysis.
Test data
Support for generating varied data sets adapted to the context of your tests.
Supporting automation
Using AI to generate, review and evolve scripts, always validating the code and the results produced.
Exploratory testing
Using AI to support exploration, idea generation and information analysis, without replacing the professional’s own observation, investigation and judgement.
Who it is for
For QAs who want to start or better organise their use of AI in everyday work and are looking for examples that apply to real software quality activities, without turning the job into a collection of tools or prompts.
About the material
This resource is part of Expert QA Academy and was created to bring AI closer to the real work of QA. The goal is not to promise that the technology solves everything, but to show where it can be useful, what care is needed and how to keep exercising judgement over what it produces.
Choose the package that makes the most sense for you.
Master Package
- E-book: The Complete AI Guide for QAs;
- AI Tools Guide for QAs;
- Comparative Guide: ChatGPT, Gemini, Claude, Perplexity, and DeepSeek;
- Lifetime access to content updates.
AI can speed up the work. The judgement is still yours.
AI tools can help generate ideas, expand scenarios, produce data, support automation and explore different possibilities.
But a generated answer still needs context, validation and critical analysis.
The goal of this resource is to help you bring AI into QA work as a supporting tool, not as a replacement for the responsibility of judging what makes sense for the product and the problem being tested.
Choose how far you want to take your use of AI in QA work.
Master Package
Guide + AI tools guide + comparative guide + lifetime updates.