ISTQB Certified Tester–Generative AI (CT-GenAI) Crash Course

Name: ISTQB Certified Tester–Generative AI (CT-GenAI) Crash Course
Rating: 4.7 (17 reviews)

GenAI Testing explained for Testers with real use cases as per ISTQB CT-GenAI Syllabus, 200+ Quizzes & Exam Confidence

Created byRahul Shetty Academy - 1.3 Million QA Learners

Last updated 9/2026

English

What you'll learn

Understand core Generative AI and LLM concepts as defined in the official ISTQB CT-GenAI syllabus
200+ practice quizzes designed to simulate the actual exam format
Apply prompt engineering techniques to design effective, testable AI-generated outputs
Identify risks, biases, and failure modes unique to GenAI systems and how to mitigate them
Explore RAG, AI agents, fine-tuning, and LLMOps in the context of test automation infrastructure
Learn how GenAI is reshaping QA roles, workflows, and adoption strategies across teams
Prepare confidently for the ISTQB Certified Tester – GenAI exam with concept-to-question mapping

Course content

12 sections • 51 lectures • 4h 21m total length

What is ISTQB Gen AI Testing Certificate & Get details7:22
Important Note Before You Begin0:41

Understand the AI Spectrum and its evolvement over Years as Machine Learning5:45
What is Deep Learning & How different it is from Machine Learning underhood7:09
What is Generative AI & LLM? - Understand with Scenarios8:02
What are Tokens & Embeddings in the context of LLM and their importance9:15
Understand how embeddings convert tokens into numerical representations, grouping semantically related ideas in LLMs. See how transformers use self-attention to link tokens, predict the next token, and produce non-deterministic outputs.
Why there is Non Determinism in LLM Outputs. Internal working mechanism4:40
Explore non-determinism in llm outputs, driven by probabilistic next-token prediction and temperature settings, and learn to assess correctness and coverage rather than rely on hard assertions in ai testing.
Understand the Importance of Context Window in LLM Session3:44
3 Type of LLM's - Foundational ,Instruction Tuned & Reasoning LLM's - Know Diff7:07
Learn Key LLM Capabilities for Testing Tasks with examples5:04
AI Chatbots vs LLM Powered Testing Applications - Understand the Difference5:29
Download the Slides/Notes discussed from this Chapter0:01

Why Prompt Engineering Matters? & Key components of Prompt5:27
The 6 Parts of Prompt Structure with the importance of each Part with examples6:20
What is Prompt Chaining? When this technique should be used with example5:57
What is Meta Prompting? When this technique should be used with example7:51
Test Analysis with Gen AI - Understand the context and drive the results from AI6:28
How to perform Automated Regression Testing with Gen AI with examples8:11
Techniques for refining Prompts - How to get better results from LLM7:34
Download the Slides/Notes discussed from this Chapter0:01

What is Hallucination & Reasoning errors for LLM outputs6:37
What is Bias in LLM outputs? Understand with examples5:12
How to Detect Hallucination & Reasoning errors from LLM output - Know techniques5:47
Mitigating Hallucinations, Reasoning errors & Biases of LLM outputs5:06
How Temperature & Random seeds factors play a key role in LLM Non Determinism4:36
Understand Data privacy & Security risks involved with Gen AI usage in Project7:23
Mitigating Data privacy & Security risks with Gen AI Adoption - Techniques6:17
AI Regulations, Standards & Best Practice Frameworks in Gen AI Adoption4:33
Download the Slides/Notes discussed from this Chapter0:01

Understand LLM Architecture components - Front end, Backend8:10
Backend Data sources & Post processing the data -Relation db & Vector database4:45
What is RAG Architecture? Understand internal working mechanism11:00
How RAG Pipeline works - Setup phase & Query phase8:20
LLM Powered Agents : What makes them different? & Autonomy levels of Agent11:54
What is Fine Tuning LLM? In what Scenarios we need Fine tuning route8:51
LLM OPS - Operationalizing Gen AI & Approaches followed for Gen AI Testing10:18
Download the Slides/Notes discussed from this Chapter0:01

Understand the risk invovled in Shadow AI with examples4:33
Key Aspects of Gen AI Test Strategy - How you measure outcome of Gen AI Adoption7:06
Selecting the right LLM for Testing tasks - Factors to consider for evaluation6:50
Three Phases of Gen AI Adoption - Discovery -Initiation - Utilization4:47
Essential Skills & Knowledge for Testers working with Gen AI7:44
How Tester roles evolves with Gen AI for both Mid level & Manager level testers6:12
Download the Slides/Notes discussed from this Chapter0:01

Requirements

None. No Prior AI experience is needed

Description

Generative AI is transforming how software is built, tested, and validated — and QA professionals who understand it are becoming indispensable. This course is your complete preparation guide for the ISTQB Certified Tester – Generative AI (CT-GenAI) certification, designed to take you from foundational concepts to exam-ready confidence.

You'll go chapter by chapter through the official ISTQB syllabus: starting with the fundamentals of Generative AI and Large Language Models, moving into practical prompt engineering techniques that every tester needs, then diving deep into the risks, biases, and failure modes that make GenAI systems uniquely challenging to validate. From there, you'll explore how modern test infrastructure is evolving with RAG (Retrieval-Augmented Generation), AI agents, fine-tuning, and LLMOps — and finally, how GenAI is reshaping QA roles, team workflows, and adoption strategies in real organizations.

Every concept is explained the way testers actually think — with practical, testing-world examples, clear comparisons, and callouts on the exact points the ISTQB exam likes to test. This isn't just a syllabus walkthrough; it's built by cross-referencing real practice exam questions to make sure every commonly-confused concept, terminology distinction, and exam trap is addressed before you sit the test.

Whether you're a manual tester, automation engineer, or QA lead looking to stay relevant in an AI-driven testing landscape, this course gives you both the certification and the practical understanding to apply GenAI concepts on the job.

Who this course is for:

Software Testers
QA Engineers
AI Enthusiasists

ISTQB Certified Tester–Generative AI (CT-GenAI) Crash Course

What you'll learn

Explore related topics

Course content

Introduction to Certification Pattern & How Course is Designed2 lectures • 8min

Chapter 1 - Introduction to Generative AI for Software Testing10 lectures • 56min

Practice Quizzes & Key Takeaways from Chapter 12 lectures • 1min

Chapter 2 - Prompt Engineering for Effective Software Testing8 lectures • 48min

Practice Quizzes & Key Takeaways from Chapter 22 lectures • 1min

Chapter 3 - Managing Risks of Generative AI in Software Testing9 lectures • 46min

Practice Quizzes & Key Takeaways from Chapter 31 lecture • 1min

Chapter 4 - LLM Powered Test Infrastructure for Software Testing8 lectures • 1hr 3min

Practice Quizzes & Key Takeaways from Chapter 41 lecture • 1min

Chapter 5 - Deploying & Integrating Gen AI in Test Organizations7 lectures • 37min

Requirements

Description

Who this course is for: