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1 Introduction to Generative AI for Software Testing
9 Lessons-
Preview1 Introduction to AI & Generative AI | Generative AI for Testers
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Start1.1 Generative AI Foundations and Key Concepts
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Start1.1.1 AI Spectrum Symbolic AI Classical MI Deep Learning GgenAI
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Start1.1.2 Basics of GenAI and LLMs
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Start1.1.3 Foundation Instruction Tuned and Reasoning LLMs
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Start1.1.4 Moltimodal LLMs and Vision Language Models
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Start1.2 Leveraging GenAI in Software Testing
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Start1.2.1 Key LLM Capabilities for Test Tasks
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Start1.2.2 AI Chatbots and LLM Powered Test Applications
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2 Prompt Engineering for Effective Software Testing
15 Lessons-
Start2 Prompt Engineering for Effective Software Testing
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Start2.1 Effective Prompt Development
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Start2.1.1 Structure of Prompts for GenAI in Software Testing
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Start2.1.2 Core Prompting Techniques for Software Testing
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Start2.1.3 System Prompt and User Prompt
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Start2.2 Applying Prompt Engineering Techniques Software Test Tasks
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Start2.2.1 Test Analysis with GenAI
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Start2.2.2 Test Design and Implementation with GenAI
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Start2.2.3 Automated Regression Testing with GenAI
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Start2.2.3 Automated Regression Testing with GenAI (1)
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Start2.2.4 Test Monitoring and Test Control with GenAI
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Start2.2.5 Choosing Prompting Techniques for Software Testing
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Start2.3 Evaluate GenAI Results and Refine Prompts
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Start2.3.1 Metrics for Evaluating the Results of GenAI
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Start2.3.2 Techniques for Evaluating and Iteratively Refining Prompts
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3 Managing Risks of GenAI in Software Testing
14 Lessons-
Start3 Managing Risks of GenAI in Software Testing
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Start3.1 Hallucinations Reasoning Errors and Biases
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Start3.1.1 Hallucinations Reasoning Errors and Biases in GenAI
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Start3.1.2 Identify Hallucinations Reasoning Errors and Biases
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Start3.1.3 Mitigation Techniques for Hallucinations Reasoning Errors and Biases
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Start3.1.4 Mitigation of Non-Deterministic Behavior of LLMs
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Start3.2 Data Privacy and Security Risks of GenAI in Software Testing
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Start3.2.1 Data Privacy and Security Risks Associated with using GenAI
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Start3.2.2 Data Privacy and Vulnerabilities in GenAI for Test Process and Tools
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Start3.2.3 Mitigation Strategies to Protect Data Privacy and Enhance Security
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Start3.3 Energy Consumption and ENV Impact of GenAI
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Start3.3.1 The Impact of using GenAI on Energy Consumption
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Start3.4 AI Regulations Standards and Best Practices
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Start3.4.1 AI Regulations Standards and Frameworks for GenAI in Software Testing
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4 LLM-Powered Test Infrastructure for Software Testing
8 Lessons-
Start4 LLM-Powered Test Infrastructure for Software Testing
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Start4.1 Architectural Approaches for LLM Powered Test Infra
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Start4.1.1 Key Arch Components and Concepts of LLM Powered Test Infra
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Start4.1.2 Retrieval Augmented Generation
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Start4.1.3 The Role of LLM Powered Agents in Automation Testing
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Start4.2 Fine Tuning and LLMops
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Preview4.2.1 Fine Tuning LLMs for Test Tasks
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Start4.2.2 LLOps When Deploying and Managing LLMs
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5 Deploying and Integrating Generative AI in Test Organizations
10 Lessons-
Start5 Deploying and Integrating Generative AI in Test Organizations
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Start5.1 Roadmap for Adoption of GenAI
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Start5.1.1 Recall the Risks of Shadow AI
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Start5.1.2 Explain the Key Aspects to Consider When Defining GenAI
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Start5.1.3 Key Criteria for Selecting LLM SLM
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Start5.1.4 Recall Key Phases in GenAI Adoption
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Start5.2 Manage Change when Adopting GenAI
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Start5.2.1 Essential Skills and Knowledge for Testing with GenAI
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Start5.2.2 Building GenAI Capabilities in Test Teams
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Start5.2.3 Evolving Test Processes in AI Enabled Test Organizations
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ISTQB Generative AI (CT‑GenAI) Certification Exam Prep
Master Generative AI testing concepts and confidently prepare for the ISTQB Generative AI (CT‑GenAI) exam
Course Summary
Unlock the future of software testing with ISTQB Generative AI (CT‑GenAI) Certification Exam Prep Comprehensive Course. This is the ultimate training program designed to help you master Generative AI testing concepts and confidently pass the ISTQB CT‑GenAI exam.
Whether you’re a fresher looking to get into software testing, already working in IT and looking for career change, a QA professional, or part of a corporate testing team, this course equips you with the skills, strategies, and exam readiness needed to thrive in today’s AI‑driven testing landscape.
This course not only prepares you for the ISTQB Generative AI (CT‑GenAI) exam but also empowers you with practical insights into how Generative AI is reshaping quality assurance. By the end, you’ll be equipped with the knowledge, confidence, and certification credentials to stand out in a competitive job market and accelerate your career growth.
What you’ll learn in this Course
-> ISTQB Generative AI (CT‑GenAI) syllabus covered in very simple and practical examples
-> Generative AI testing techniques and their application in real projects
-> Exam preparation strategies with practice questions and mock tests
-> Industry insights to future‑proof your QA and testing career
Who can take this Course
-> Professionals preparing for the ISTQB CT‑GenAI certification exam
-> Software testers, QA engineers, and developers looking to upskill in AI testing
-> Anyone looking to change career into the fast‑growing field of Generative AI testing
-> Corporate teams seeking structured training aligned with ISTQB Generative AI Certification standards
Course Curriculum
Course Instructor
Software Testing Mentor and RCV Academy
Manish Verma
Ratings and Reviews
The ISTQB Generative AI (CT-GenAI) Certification Exam Prep course is the Highest Rated Course on Udemy
Course Pricing
One Time Price - Lifetime Access
$29.99 USD
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- Lifetime Access to ISTQB Generative AI (CT‑GenAI) Certification Course
- Free access to any future course updates
