Testing with Generative AI

CT‑GenAI

Learn to apply Generative AI responsibly and effectively across the testing lifecycle: prompt engineering, risk management, LLM‑powered infrastructure, and organizational adoption.

Why CT‑GenAI?

Master GenAI for testing: generate test assets with AI, mitigate risks like hallucinations and bias, and integrate LLM solutions into your test stack.

Introduction to GenAI
Foundations of LLMs, tokenization, context windows, multimodality.

Prompt Engineering
Structured prompts, chaining, few‑shot, meta‑prompting for test tasks.

Risk & Governance
Hallucinations, bias, privacy/security, non‑determinism, regulations.

LLM‑Powered Infrastructure
RAG, fine‑tuning, LLMOps, and AI agents for testing.

Responsible Integration
Adoption roadmap, skills & change management for test orgs.

Who should attend?

Ideal for testers, test automation engineers, developers with testing duties, test managers, and QA/IT leaders looking to harness GenAI in real projects.

  • Prerequisite: ISTQB® Foundation Level (CTFL)
  • No programming experience required
  • Applicable across industries and tool stacks

What you will learn

1. GenAI for Testing
AI spectrum, LLM basics, multimodal LLMs, interaction models.

2. Prompt Engineering
Structure components (role, context, instruction, data, constraints, output) and core techniques (chaining, few‑shot, meta).

3. Risk Management
Hallucinations, bias, privacy/security, non‑determinism, energy & environmental impact, standards & regulations.

4. LLM‑Powered Infrastructure
RAG, fine‑tuning, LLMOps, agents; architecture and operations.

5. Deploy & Integrate
Adoption roadmap, skills, team enablement, evolving processes.

Exam at a glance

Format: 40 multiple‑choice questions
Duration: 60 minutes (+25% extra time for non‑native language)
Pass mark: 65%
Delivery: Online remote proctoring or test centers (availability varies by board/provider)
Validity: Lifetime

Syllabuses Testing with Generative AI Version Year
CT‑GenAI_Lehrplan_DE V1.0 2025
CT‑GenAI_Syllabus_EN V1.0 2025

Documents & Downloads

Version Jahr
Accreditation Guidelines V1.0 2025
Software-QS-Tag 2025 2025

Referenzen / Links

ISTQB Website

© 2025 GTB e.V.