ISTQB® Certified Tester - Testing with Generative AI (CT-GenAI)
Course 3170
2 DAY COURSE
Course Outline
The ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI) certification equips professionals with the knowledge and skills to apply Generative AI (GenAI), Large Language Models (LLMs), and AI testing tools throughout the software testing lifecycle. This globally recognized certification demonstrates your ability to use AI effectively in real-world testing scenarios.
ISTQB® Certified Tester - Testing with Generative AI (CT-GenAI) Benefits
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In this course, you will:
- Generate test cases, acceptance criteria, and synthetic test data using AI
- Use prompt engineering techniques to improve test accuracy and automation
- Identify and mitigate AI-specific risks such as hallucinations, bias, and data privacy breaches
- Integrate LLM-powered infrastructure (RAG, LLMOps, AI agents) into test environments
- Plan and execute an organizational AI testing strategy
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Prerequisites
- Candidates for the ISTQB® Advanced Level Test Automation Engineering certificate must hold the ISTQB® Certified Tester Foundation Level certificate (CTFL).
- No programming experience required.
ISTQB GenAI Testing Certification Course Outline
Learning Objectives
1. Introduction to Generative AI for Software Testing
- Core concepts of GenAI, LLMs, tokenization, embeddings, multimodal models
- Applications of AI in the testing lifecycle
2. Prompt Engineering for Effective Software Testing
- Structured prompts, chaining, few-shot and meta prompting
- Applying prompts to test design and automation
3. Managing Risks of Generative AI in Software Testing
- Addressing hallucinations, bias, non-determinism, and security/privacy issues
- Ethical and regulatory considerations
- Assessing environmental impact of AI
4. LLM-Powered Test Infrastructure
- Retrieval-Augmented Generation (RAG), fine-tuning, and LLMOps
- Using AI agents for automated test processes
5. Deploying and Integrating GenAI in Test Organisations
- Creating an organizational roadmap for GenAI adoption
- Building AI testing capabilities in teams
- Adapting processes for AI-enabled environments
Private Team Training
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