ISTQB Generative AI (CT‑GenAI) Certification Exam Prep

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Introduction to ISTQB Generative AI Certification Course Preview
ISTQB Gen AI v1.1 Syllabus Updates Preview
Who Can Take this Course Preview
Career Path for Testers Preview
Business Outcomes Preview
Examinable Learning Objectives Preview

1 Introduction to AI & Generative AI | Generative AI for Testers Preview
1.1 Generative AI Foundations and Key Concepts
1.1.1 AI Spectrum Symbolic AI Classical MI Deep Learning GgenAI
1.1.2 Basics of GenAI and LLMs
Module 1 Quiz 1
Hands On | Calculate Tokens | Token IDs and Understand Embeddings Preview
1.1.3 Foundation Instruction Tuned and Reasoning LLMs
1.1.4 Moltimodal LLMs and Vision Language Models
Hands On | Review and Execute a Given Prompt Addressing a Test Task
1.2 Leveraging GenAI in Software Testing
Module 1 Quiz 2
1.2.1 Key LLM Capabilities for Test Tasks
1.2.2 AI Chatbots and LLM Powered Test Applications
Module 1 Quiz 3

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2 Prompt Engineering for Effective Software Testing
2.1 Effective Prompt Development
Hands On | AI Prompting Basics in ChatGPT
2.1.1 Structure of Prompts for GenAI in Software Testing
Hands On | Observe and Analyze Prompt Components
Hands On | Observing and Discussing Prompt Chaining, Few-Shot Prompting
Hands On | Identifying Prompt Engineering Techniques in Given Examples
Hands On | 6 Core Elements of a Good Prompt
2.1.2 Core Prompting Techniques for Software Testing
Hands On | Top Prompting Techniques
Hands On | Zero-Shot Prompting
Hands On | One-Shot Prompting
Hands On | Few-Shot Prompting
Hands On | Chain-of-Thought Prompting
2.1.3 System Prompt and User Prompt
2.2 Applying Prompt Engineering Techniques Software Test Tasks
2.2.1 Test Analysis with GenAI
Hands On | Practice Creating Structured Multimodal Prompts
Hands On | Practice Prompt Chaining and Human Verification
2.2.2 Test Design and Implementation with GenAI
Hands On | Practice Functional Test Case Generation from User Stories
Hands On | Use the Few-Shot Prompting Technique to Generate Gherkin Style Test
Hands On | Use Prompt Chaining to Prioritize Test Case within a Given Test Suite
2.2.3 Automated Regression Testing with GenAI
2.2.3 Automated Regression Testing with GenAI (1)
Hands On | Few-Shot Prompting for Test Automation
Hands On | Practice Writing Structured Prompts for Test Report Analysis
2.2.4 Test Monitoring and Test Control with GenAI
Hands On | Observe Test Monitoring Metrics Prepared by AI from Test Data
2.2.5 Choosing Prompting Techniques for Software Testing
Hands On | Selecting Context-Appropriate Prompting Techniques for Given Test
2.3 Evaluate GenAI Results and Refine Prompts
2.3.1 Metrics for Evaluating the Results of GenAI
Hands On | Observe How Metrics can be Used for Evaluating the Result
2.3.2 Techniques for Evaluating and Iteratively Refining Prompts
Hands On | Evaluate and Optimize a Prompt for a Given Test Task
Module 2 Quiz 1

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3 Managing Risks of GenAI in Software Testing
3.1 Hallucinations Reasoning Errors and Biases
3.1.1 Hallucinations Reasoning Errors and Biases in GenAI
3.1.2 Identify Hallucinations Reasoning Errors and Biases
Hands On | Experiment with GenAI Hallucinations Related to Software Test Task
Module 3 Quiz 1
3.1.3 Mitigation Techniques for Hallucinations Reasoning Errors and Biases
3.1.4 Mitigation of Non-Deterministic Behavior of LLMs
3.2 Data Privacy and Security Risks of GenAI in Software Testing
3.2.1 Data Privacy and Security Risks Associated with using GenAI
Module 3 Quiz 2
3.2.2 Data Privacy and Vulnerabilities in GenAI for Test Process and Tools
3.2.3 Mitigation Strategies to Protect Data Privacy and Enhance Security
Hands On | Data Privacy and Security Risks in Generative AI
Module 3 Quiz 3
3.3 Energy Consumption and ENV Impact of GenAI
3.3.1 The Impact of using GenAI on Energy Consumption
Hands On | Use a Simulator to Calculate The Energy and CO₂ Emissions
3.4 AI Regulations Standards and Best Practices
3.4.1 AI Regulations Standards and Frameworks for GenAI in Software Testing
Module 3 Quiz 4

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4 LLM-Powered Test Infrastructure for Software Testing
Hands On | Module 4
4.1 Architectural Approaches for LLM Powered Test Infra
4.1.1 Key Arch Components and Concepts of LLM Powered Test Infra
4.1.2 Retrieval Augmented Generation
Module 4 Quiz 1
4.1.3 The Role of LLM Powered Agents in Automation Testing
4.2 Fine Tuning and LLMops
4.2.1 Fine Tuning LLMs for Test Tasks Preview
4.2.2 LLOps When Deploying and Managing LLMs
Module 4 Quiz 2

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5 Deploying and Integrating Generative AI in Test Organizations
5.1 Roadmap for Adoption of GenAI
5.1.1 Recall the Risks of Shadow AI
5.1.2 Explain the Key Aspects to Consider When Defining GenAI
Module 5 Quiz 1
5.1.3 Key Criteria for Selecting LLM SLM
Hands On | Estimating the Recurring Costs of Using Generative AI
5.1.4 Recall Key Phases in GenAI Adoption
5.2 Manage Change when Adopting GenAI
Module 5 Quiz 2
5.2.1 Essential Skills and Knowledge for Testing with GenAI
5.2.2 Building GenAI Capabilities in Test Teams
5.2.3 Evolving Test Processes in AI Enabled Test Organizations
Module 5 Quiz 3

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