Learning Objective
By the end of this course, you will be able to
By the end of this course, learners will be able to:
- explain the difference between AI-assisted automation and autonomous AI testing agents and when each is appropriate
- apply GitHub Copilot, Claude, and GPT to generate high-quality Page Object and test code within an existing framework
- build a prompt engineering workflow specifically designed for test code generation, review, and maintenance
- implement a self-healing locator pattern using AI API calls triggered on element-not-found failures
- automate failure triage by feeding test output to Claude or GPT and receiving structured root cause analysis
- integrate AI analysis steps into a GitHub Actions CI pipeline without excessive API cost or latency
- evaluate AI-generated automation code critically and apply a structured review process before merging
- create a documented, AI-augmented framework that demonstrates measurable productivity and maintenance improvements
Target learners
Who this course is for
- Automation engineers with working Playwright, Selenium, or Cypress frameworks who want to accelerate with AI.
- SDETs and senior QA engineers looking to reduce framework maintenance overhead using self-healing and AI assistance.
- QA leads who want to evaluate and introduce AI tooling into their team's automation workflow.
- Automation testers who completed Playwright or Selenium courses at ITLearnner and want the AI layer on top.
- Engineering teams where automation engineers spend too much time on locator maintenance and failure triage.
Prerequisites
What you need
Working automation framework experience is required before joining this course.
Confident experience with at least one automation framework - Playwright, Selenium, or Cypress - is needed.
Working knowledge of Python or JavaScript and a version-controlled test project is expected.
Familiarity with pytest, Mocha, or a similar test runner is assumed.
A laptop with your existing automation framework, VS Code, and Git installed is required.
Experience using AI coding tools such as GitHub Copilot or ChatGPT for code generation is helpful but not mandatory.
Course Overview
What this course is about
AI for Automation Testers is designed for working automation engineers who already have a framework and want to make it significantly more productive using AI. The course is framework-agnostic - examples are shown in Playwright and Selenium - but the patterns, prompts, and architecture decisions apply equally to Cypress, WebdriverIO, or any other modern automation stack.
Every session is focused on practical integration rather than AI theory. Learners leave each session having added a working AI capability to their own framework - not a toy example, but something they can use in their real project the next day.
AI Capabilities You Will Add to Your Framework
- AI-assisted Page Object generation from live page HTML
- Self-healing locator repair triggered automatically on failure
- AI failure triage that posts root cause analysis to Slack or GitHub PR
- Prompt-driven test generation from user stories and AC
- AI code review integration for automation pull requests
Tools and Integrations Covered
- GitHub Copilot Chat and inline suggestions
- Claude API (claude-sonnet)
- OpenAI API (GPT-4o)
- Playwright and Selenium
- GitHub Actions
- Slack Webhooks
Curriculum
Course Types
We offer three structured learning paths based on your goals:
Crash Course (Fast-Track)
Quick, intensive courses designed to teach specific skills efficiently. Ideal for those upskilling fast or preparing for certifications.
DeepDive Program (Full Mastery)
Comprehensive, step-by-step learning for full mastery. For beginners and professionals seeking long-term, deep expertise.
MentorConnect (One-on-One)
Personalised mentorship with real-world guidance. Best for those who thrive with direct, expert-to-learner coaching.
Frequently asked questions
Learning Approaches
We recognize that everyone learns differently, so we offer flexible learning formats to fit your needs:
One-on-One Training
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Personalized, instructor-led coaching tailored to your learning speed.
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Best for career-specific coaching or specialized training needs.
Small Batch Classes (2-5 learners)
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Interactive, discussion-based learning in small groups.
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Encourages collaboration, teamwork, and peer-to-peer engagement.
Join Us Today
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