What this exam is about
This exam stays close to day-to-day testing work. It is about AI as a tool inside QA, not mainly AI as the product under test. That is the clearest difference between this exam and ISTQB AI Testing.
The syllabus focuses on using LLMs and other generative AI tools in planning, test design, review, and execution. It also deals with the ways teams get into trouble when they trust AI-generated testing output too quickly. For the broader frame, start with what AI testing covers.
What the syllabus covers
A big part of the syllabus is prompt writing for testing tasks. That includes prompts for test case generation, defect summaries, exploratory ideas, and planning support. The goal is not just to get a response. The goal is to get something worth reviewing and maybe keeping.
Risk is the other big piece. The syllabus covers hallucinations in AI-generated tests, weak coverage hiding inside polished-looking output, overreliance on tool suggestions, and inconsistency in generated material. Those are real QA problems because they can quietly lower test quality while making the team feel faster.
It also covers how to fit generative AI into normal QA flow without letting it take over the work. That includes reviewing AI-generated tests, using GenAI in regression support, and knowing when the tool is helping versus adding noise. If you want the official scope, use the ASTQB syllabus page.
How the exam works
This is a multiple-choice specialty exam. It requires ISTQB Foundation Level first, so it is meant for testers who already know the basics and are now adding AI-specific workflow knowledge.
In the U.S., you register through AT*SQA. It is available online with remote proctoring. Before you book it, check ASTQB and AT*SQA because exam details and delivery information can change.
What to focus on when studying
Most testers are already comfortable trying AI tools. The harder part is judging the quality of what those tools produce. That is where your study time usually pays off.
Focus on whether an AI-generated test case is useful, complete, and worth keeping. It also helps to spend time on hallucination risk, overreliance, and the tradeoff between speed and quality. For the risk side, pair your study with the OWASP AI Testing Guide and this page on how to test LLM applications.
How it fits into ASTQB AI Assurance Pro™
This exam covers one side of ASTQB AI Assurance Pro™. ASTQB AI Assurance Pro™ is a designation for software testers who hold three ISTQB certifications and want to show they can handle AI testing work. This part of the path is about using AI well inside testing workflows.
The companion exam, ISTQB AI Testing exam guide, covers the other side of the job, which is testing AI systems directly. Together with Foundation Level, they make up the full three-certification path. If you want the overview first, go to What is the ASTQB AI Assurance Pro™ designation.