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AI Test Enginner Certification (AI-TEC)


Description

The Pcloudy AI Test Engineer Certification (AI-TEC) course is designed for QA professionals who want to confidently adopt AI-powered test generation in modern test automation workflows.

Whether you're working with Playwright, Selenium, Appium, or similar automation frameworks, this course provides a structured approach to understanding, implementing, and evaluating AI-generated tests in real-world enterprise environments.

Through a combination of conceptual learning, hands-on exercises, and assessments, you'll learn how to move beyond simply generating tests to building scalable, reliable, and maintainable AI-assisted testing workflows.

Who Should Take This Course?

This course is ideal for:

  • QA Engineers using Selenium, Playwright, Appium, or similar frameworks
  • Automation Engineers looking to accelerate test creation with AI
  • SDETs exploring AI-assisted software testing
  • QA Teams beginning their journey toward AI-driven test automation

Prerequisites

Before starting this course, you should have:

  • Basic experience with at least one automation framework (Selenium, Playwright, Appium, or equivalent)
  • Familiarity with test automation concepts and workflows

No prior AI or Machine Learning knowledge is required.

What You'll Learn

By the end of this course, you'll be able to:

  • Understand the fundamentals of AI-powered test generation
  • Identify where AI fits within modern QA workflows
  • Generate and refine automated test cases using AI
  • Apply best practices for validating AI-generated tests
  • Measure the impact of AI on test coverage, productivity, and maintenance
  • Build a practical framework for adopting AI test generation within enterprise teams
Content
  • Module 1 - The AI Test Generation Landscape
  • 1.1 What AI Test Generation Actually Is
  • 1.2 The Four-Stage Automation Adoption Model
  • 1.3 The Generation-Execution Gap
  • 1.4 Why Certification in This Discipline Matters
  • Module 1 - Checkpoint Quiz
  • Module 2 - Prompt Engineering for Test Generation
  • 2.1 Understanding Prompting for QA (Test Generation) & it's Importance
  • 2.2 The Prompt Technique Library
  • 2.3 The RCCO Prompt Structure
  • 2.4 Prompting for Different Test Surfaces
  • 2.5 Prompting for Edge Cases and Negative Testing
  • 2.6 Context Injection Techniques
  • Module 2 - Checkpoint Quiz
  • Practical Exercise: Prompt Engineering Practice
  • Module 3 - Context Management Across Test Sessions
  • 3.1 The Context Problem at Scale
  • 3.2 The Five Context Engineering Levers
  • 3.3 Structured Memory — The Starting Point
  • 3.4 RAG for QA — Scaling Context
  • 3.5 Fine-Tuning — When Generic Models Are Not Enough
  • 3.6 Identifying and Remediating Context Drift
  • Module 3 - Checkpoint Quiz
  • Practical Exercise: Context Management Strategy Design
  • Module 4 - Sample Prompts for Different Types of Testing
  • 4.1 Functional Testing
  • 4.2 App Performance Testing
  • 4.3 Security Testing
  • 4.4 Accessibility Testing
  • 4.5 From Prompt to Automation Code
  • 4.6 Red Flags in LLM Output
  • Module 4 - Checkpoint Quiz
  • Practical Application: Prompt Exercise
  • Module 5 - AI Test Generation with QPilot
  • 5.1 Pcloudy's Test Generation Agent - QPilot (Architecture Overview)
  • 5.2 Generating Tests in QPilot Playground
  • 5.3 Building User Journeys with Collections
  • 5.4 Local LLM Configuration
  • 5.5 Reading QPilot Execution Reports
  • Module 5 - Checkpoint Quiz
  • Final Assignment
Completion rules
  • All units must be completed
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