Technical Training

AiU Certfied GenAI-Assisted Test Engineer (GenAiA-TE)

Introduction

The AIU GenAI-Assisted Test Engineer (GenAiA-TE) certification program is an intensive, hands-on training designed for software testing experts who want to integrate Generative AI (GenAI) into their daily workflows.
Delivered over three days with over 85% practical content, the course focuses on learning by doing, engaging participants through real-world scenarios, interactive exercises, and collaborative discussions.
Using advanced Large Language Models (LLMs) such as ChatGPT, participants will complete over 70 short exercises to explore and master GenAI applications in software testing.

Upon completion, participants will be prepared to take the AIU Certified GenAI-Assisted Test Engineer exam-positioning themselves at the forefront of AI-assisted testing methodologies.

Course Objectives and Content

By the end of the program, participants will be able to:

• Stay Ahead: Integrate AI into their software testing skillset, leveraging LLM tools effectively and responsibly to enhance quality assurance outcomes.
• Master Practical Skills: Apply GenAI techniques to real-world projects, with the majority of learning achieved through hands-on practice.
• Learn from Experts: Gain insights from industry leaders with the latest techniques and strategies for AI-assisted testing.

Key Modules
1. GenAI-Assisted Testing

• Evolution from manual to AI-assisted methodologies.
• Benefits and efficiency gains with human-guided AI testing.
• Strategies to overcome implementation challenges.

2. Prompt Engineering

• Crafting effective prompts for generating high-quality test cases.
• Adapting to change while maintaining quality standards.

3. Requirements Review

• Identifying and resolving ambiguities in requirement specifications.
• Using AI to assist early-stage testing and improve requirement quality.

4. Test Generation and Optimization

• Leveraging AI for innovative and systematic test design.
• Exploring open-ended test ideas and incorporating non-functional testing factors.

5. Test Data

• AI-assisted data generation and representation.
• Using techniques like regular expressions for effective data manipulation.

6. Bug Advocacy and Reporting

• Enhancing bug reports with AI-powered natural language generation.
• Improving clarity, persuasiveness, and readability of defect documentation.

7. Further Steps

• Exploring future opportunities for AI in testing beyond the course scope.
• Understanding AI as a powerful assistant, not a full replacement for testers.

Who should attend

The AiU Certified GenAI-Assisted Test Engineer (GenAiA-TE) certification is designed for software testing professionals who would like to use the possibilities of GenAI in their daily work to maximise their software quality assurance contributions. This certification course will change how you work and bring you to state-of-the-art AI-assisted testing.
Prerequisites:

• Hands-On testing experience
• ISTQB CTFL or Equivalent Subject Knowledge specifically on test design techniques – Equivalence Partitioning, Boundary Value Analysis, Decision Tables and State Transition Testing
  
• NO Programming experience is required.

  Qualification

  Exam Format: 40 multiple-choice questions (60 minutes; 75 minutes for non-native speakers).
  Passing Score: 65% (minimum 31 out of 47 points).
  Certification: Successful candidates receive the AiU Certified GenAI-Assisted Test Engineer (GenAiA-TE) credential—a globally recognized certification that validates their AI-assisted testing expertise.

  Upcoming dates:

  Location

  Dates

  
  
  Online, Online

  4, 5, 6 November 2025

  Book now