Join founding cohort
AI · QE · PRACTICAL

Become an AI-Powered QE Engineer.

Learn how to apply AI, Playwright, MCP and AI agents to real-world software testing — with hands-on exercises designed for experienced SDETs and QA Automation Engineers.

4-week practical program · 20 lessons · hands-on labs · founding price ₹4,999

ai-qe-workflow.md
REQUIREMENT
↓
AI risk analysis
↓
QE review
↓
AI test generation
↓
QE review
↓
AI automation assistance
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HUMAN QUALITY DECISION ✓
the outcome

Don't just learn AI. Learn how to use it as a QE engineer.

01

AI-assisted test design

Generate risk-based scenarios, edge cases and negative tests — then learn how to evaluate what AI missed.

02

AI-assisted automation

Use AI with API testing and Playwright to accelerate automation without surrendering QE judgment.

03

AI agents + MCP

Understand agent-driven testing, Playwright MCP and controlled automation workflows.

04

AI quality engineering

Learn how to evaluate LLM applications, RAG systems and AI-generated test content.

interactive preview · free

Try the AI QE Tutor learning loop.

Solve a real-world QE problem. Get instant, rubric-based feedback, see what you missed, and try again. No signup required.

INTERMEDIATE · API / RELIABILITY

Your task: List the highest-risk test scenarios and explain what each would validate. Include negative and failure paths, not just happy paths.

Demo runs entirely in your browser. Your answer is not sent to a server. Avoid pasting confidential data.

curriculum

20 practical lessons across 4 modules.

The program is designed around a simple loop: learn → practice → evaluate → improve. Module 1 is already structured as a complete learner assessment.

curriculum.txt
01–05

Module 1 — AI Foundations for QE

How AI changes QE · LLM fundamentals · prompt engineering · context engineering · evaluating AI-generated tests.

06–10

Module 2 — AI-Assisted Test Automation

Test scenario generation · API testing · Playwright automation · test data and edge cases · failure analysis and maintenance.

11–15

Module 3 — AI Agents, MCP & Autonomous Testing

AI agents · MCP fundamentals · Playwright MCP · agent-driven exploratory testing · human approval and safe automation.

16–20

Module 4 — AI Quality Engineering

Testing LLM applications · LLM evaluation · RAG testing · AI in QE strategy and ROI · capstone AI-powered QE workflow.

module 1 sample

AI Foundations for QE

You will not be asked to blindly trust AI. The first module teaches the reasoning required to challenge AI output and make defensible QE decisions.

✓Identify unsupported AI assumptions.
✓Write stronger QE prompts.
✓Supply relevant technical context.
✓Evaluate AI-generated test coverage.
✓Find boundary and concurrency gaps.
✓Know where human approval is required.
CORE PRINCIPLE

AI generates possibilities. QE engineers make quality decisions.

founding cohort

AI-Powered QE Engineer

₹4,999
Founding cohort pricing
✓4-week practical program
✓20 structured lessons
✓10+ hands-on exercises/labs
✓Weekly live learning session
✓AI Tutor-style exercises and feedback
✓Final QE capstone
Register interest →

Founding learners will help shape the future AI QE Tutor platform. This is a professional learning program and does not guarantee employment, compensation or external accreditation.

early access

Join the founding cohort.

Tell us a little about your QE background and what you want to learn. We will send the detailed cohort information and next steps.

register.sh --ai-qe

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Build better quality engineering with AI.

AccessLens is expanding from accessibility engineering into practical AI-powered quality engineering education.

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