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PRC1003 – Artificial Intelligence United: GenAI-Assisted Test Automation Engineer (GenAiA-TAE)

Description

PRC1003 – Artificial Intelligence United: GenAI-Assisted Test Automation Engineer (GenAiA-TAE)

Overview

The GenAI-Assisted Test Automation Engineer (GenAiA-TAE) certification program is designed to validate professionals’ competency in applying Generative Artificial Intelligence (GenAI) to test automation activities in a structured, responsible, and governed manner.

This program integrates core test automation foundations—architecture, strategy, development, execution, maintenance, and governance—with GenAI-assisted practices. Participants will learn how GenAI can enhance automation efficiency, quality, diagnostics, and sustainability while maintaining human accountability, ethical use, and industry best practices.

The certification aligns GenAI-assisted techniques with established automation principles, ensuring participants are capable of applying AI responsibly in real-world software testing and quality engineering environments.

  • 93% positive reviews (213)
  • 1892 students

This program can be tailored to your specific business needs.

A little bit of personalization goes a long way. Ask us for a no-obligation Training Needs Analysis (TNA) so we can tailor this, or any other CSG program to meet your learning outcomes.

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Objectives

At the end of the training, participants would be able to:

  • Understand the role and impact of GenAI in modern test automation practices
  • Design and evaluate effective test automation architectures and frameworks
  • Apply GenAI to support test design, development, execution, and maintenance
  • Analyze automation results and failures using structured, data-driven approaches
  • Manage test data and environments with GenAI support while ensuring compliance
  • Apply ethical, risk, and governance principles in GenAI-assisted testing

4 Days

  • Test Automation Engineers
  • QA Automation Engineers
  • Software Development Engineers in Test (SDET)
  • Test Leads and QA Leads
  • Professionals involved in automated software testing

Modules:

Module 1: Foundations of Test Automation
  • Purpose and benefits of test automation
  • Limitations and risks of automation
  • Role and responsibilities of the Test Automation Engineer
  • Overview of Generative AI and Large Language Models (LLMs)
  • Evolution of software testing and automation
  • Opportunities and constraints of GenAI in testing
  • Test automation architecture layers
  • Types of automation frameworks
  • Tool selection considerations
  • Integrating GenAI within automation frameworks
  • Defining an automation strategy
  • Scope, prioritization, and ROI of automation
  • Risk management and governance for GenAI usage
  • Test script design principles
  • Maintainability and reusability
  • GenAI-assisted test script creation and optimization
  • Human review and validation of AI-generated artifacts
  • Automated test execution management
  • Failure analysis and defect reporting
  • GenAI-assisted diagnostics and insight generation
  • Test data requirements
  • Synthetic data generation using GenAI
  • Data privacy, security, and compliance considerations
  • Automation maintenance challenges
  • Managing technical and automation debt
  • GenAI-assisted maintenance and optimization strategies
  • Ethical considerations in AI-assisted testing
  • Bias, hallucination, and intellectual property risks
  • Human-in-the-loop governance and accountability

Program Methodology

  • Hands-on Activities: Practical exercises to reinforce theoretical concepts.
  • Group Discussions: Opportunities for peer-to-peer learning and exchange of ideas.
  • Role Plays: Simulations of realistic situations to build practical skills.
  • Feedback Sessions: Reviews and reflections to encourage improvement.
  • Problem-solving Exercises: Develop critical thinking and decision-making skills.
  • Experiential Learning: Learning by doing, promoting active involvement.
  • Interactive Lectures: Engaging presentations by experts in the field.
  • Case Studies: Real-world scenarios for learners to apply their knowledge.
  • Quizzes & Tests: Regular assessments to track learning progress.

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