ISTQB Certified Gen-AI Tester Training & Exam Prep Test

Name: ISTQB Certified Gen-AI Tester Training & Exam Prep Test
Rating: 5.0 (1 reviews)

Learn GenAI for Real-World Testing and Pass the ISTQB CT-GenAI Exam With Confidence

Created byArkaTalent Tech

Last updated 12/2025

English

What you'll learn

Master prompt-engineering to quickly generate test cases, data, scripts, and documentation using GenAI tools
Apply GenAI across the full testing workflow to accelerate analysis, design, automation, and reporting tasks
Boost testing productivity and software quality by using GenAI for real, hands-on testing challenges
Understand GenAI basics, capabilities, and limits to confidently use AI in daily testing activities
Identify and reduce GenAI risks—hallucinations, bias, security, and privacy—for safe, responsible testing
Get fully prepared for the latest ISTQB CT-GenAI certification with structured, exam-focused training
Practice with realistic mock exams and quizzes designed to help you confidently pass the ISTQB CT-GenAI exam

Course content

7 sections • 65 lectures • 5h 47m total length

Introduction3:23

Generative AI Foundations and Key Concepts4:32
AI Spectrum: Symbolic AI, Classical Machine Learning, Deep Learning & GenAI6:52
LLMs and SLMs3:06
Overview of Core Components of LLM1:17
Tokenisations, Embeddings and Transformer Architecture3:18
Characteristics of LLM2:07
Hands-On Activity: Tokenization & Token Count Evaluation5:42
Task 2 : Context Window8:19
Evolution of LLM's4:36
Multimodal LLM and VLM3:43
Demo : Multimodal LLM in Testing3:01
Module revision
Leveraging Generative AI in Software Testing9:00
End of Module 1 quiz

Benefits of Prompt Engineering3:04
The Six Components of Prompt Engineering8:55
Advanced LLM Prompting techniques3:49
Hands on - Code along : LLM prompting techniques22:46
Comparison and usage for all prompt techniques2:58
Identify Prompt technique
Understanding System Prompt vs. User Prompt3:26
Prompt techniques
Applying Prompt Engineering to Test Analysis Tasks2:03
Hands-On Exercise :Structured Multimodal Prompting for Acceptance Criteria5:42
Hands on: Prompt Chaining for Refining Acceptance Criteria6:47
GenAI Assisted Software testing lifecycle4:31
Code along Exercise 1: Functional Test Case Generation Using Prompt techniques15:03
Code along Exercise 2: Use Few-Shot Prompt to Generate Gherkin-Style Test Case11:02
Code along Exercise 3: Use Prompt Chaining to Prioritise Test Cases10:05
GenAI in Regression Testing5:35
Code along: Few-Shot Prompting to Create and Manage Keyword-Driven Tests9:08
Choosing the Right Prompting Technique3:18
Identify the right prompting technique
Evaluate Generative AI Results and Refine Prompts6:54
Techniques for Evaluating and Refining Prompts4:32
Hands on : Structured Prompting for Regression Test Report Analysis8:06
GenAI in Test Monitoring & Control9:58
End of Module Quiz

Hallucinations4:11
Hands on: Experiment with GenAI Hallucinations8:01
Reasoning Errors3:32
Hands-On: Experiment with GenAI Reasoning Errors6:08
Biases3:04
Mitigating Techniques: GenAI Hallucinations, Errors & Biases in Software Testing5:44
Handling and Managing Non-Deterministic Behaviour4:32
Data Privacy & Security Risks of Generative AI5:47
Mitigation Strategy4:53
Hands on: Recognising Data Privacy & Security Risks in GenAI Testing5:43
Shadow Prompt Logging & Cross-Tool Data Leakage
Prompt Injection into a Test Automation Pipeline
Multi-Modal Manipulation & Context Collisions
Compliance & Jurisdiction Clash
Energy Consumption and Environmental Impact of Generative AI4:37
AI Regulations, Standards, and Best Practice Frameworks4:32

Understand LLM-Powered Test Infrastructure5:29
Deep dive into each component of LLM Powered test infrastructure4:51
Retrieval-Augmented Generation5:12
Hands-On: Using RAG for a Software Test Task7:42
LLM-Powered Agents5:05
Demo : Observe an LLM-powered agent automating a repetitive test task4:48
Test Infrastructures
Fine-Tuning & LLMOps: Why They Matter in Testing3:58
Demo :Fine-Tuning an LLM/SLM3:05
What Is LLMOps?3:58
LLMOPs strategy choices for testing2:37
LLMOps for In-House LLM Test Tool Development1:47
How RAG & Fine-Tuning Fit Into LLMOps1:17
LLMOps Core Responsibilities2:23
End of Module Quiz

Requirements

A basic understanding of software testing concepts and general Generative AI knowledge is recommended but not required.
No prior ISTQB certification is needed to take this course; beginners and professionals are welcome
For the official ISTQB CT-GenAI certification exam: you must already hold the ISTQB Certified Tester Foundation Level (CTFL) certificate
CT-GenAI certification holders can progress to ISTQB Core Advanced modules and later Expert Level certifications

Description

Unlock the power of Generative AI in software testing with this hands-on, career-boosting course! Fully aligned with the ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI) syllabus, this course equips you with both the theoretical knowledge and practical skills needed to excel in modern testing workflows.

Whether you are a tester, test analyst, automation engineer, developer, or QA manager, you’ll learn how to harness Large Language Models (LLMs) to design test cases, generate test data, automate scripts, and streamline reporting—all while managing risks like hallucinations, bias, privacy, and security.

What makes this course unique?

Hands-on exercises at every step: guided demos, exercises with hints, and real-world scenarios. The more you practice, the more you’ll internalize the skills that will make a tangible difference in your career.
Comprehensive exam preparation: structured explanations and mock exercises aligned with the ISTQB CT-GenAI certification, helping you gain confidence and succeed on exam day.
Career-ready outcomes: apply GenAI responsibly in your organization, improve testing efficiency, and contribute to AI-driven quality strategies.

By the end of this course, you’ll not only understand how Generative AI works in testing, but also how to use it effectively, safely, and strategically—giving you a competitive edge in your testing career and full readiness for ISTQB certification.

Who this course is for:

Testers & QA Professionals – Apply GenAI confidently in real-world testing workflows
Software Developers – Boost testing skills, automation speed, and productivity with GenAI tools
Test Automation Engineers – Accelerate test design, execution, and reporting using AI
Test Architects & QA Leads – Build smarter, AI-driven testing strategies and infrastructures
Project Managers & Decision-Makers – Understand how GenAI transforms testing, reduces risk, and drives organizational value
ISTQB CT-GenAI Exam Candidates – Gain structured guidance, hands-on exercises, and mock tests for certification success
Career-Focused Professionals – Future-proof your skills, integrate AI responsibly, and improve software quality

ISTQB Certified Gen-AI Tester Training & Exam Prep Test

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 3min

Module 1: Introduction to Generative AI for Software Testing12 lectures • 56min

Module 2: Prompt Engineering for Effective Software Testing20 lectures • 2hr 28min

Module 3: Managing Risks of Generative AI in Software Testing12 lectures • 1hr 1min

Module 4 : LLM-Powered Test Infrastructure for Software Testing13 lectures • 52min

Module 5: Deploying and Integrating Generative AI in Test organizations7 lectures • 28min

Mock Exam 10

Requirements

Description

Who this course is for: