QA Training Lab

A personal training platform for QA Automation, Playwright and TypeScript, with a progression toward SDET architecture. It combines technical exercises in English with explanations and feedback in English and Spanish.

Current progress

Days 1–5, bilingual explanations, rubric self-assessment and reinforcement are implemented. Changing the explanation language preserves progress. A synthetic Practice Store supports local Playwright exercises; those practical runs are not yet synchronized with the training dashboard.

Next steps

Days 6–30 and the DevOps and System Design progressions remain planned. Results describe competencies demonstrated within the program and do not constitute professional certification.

Learning goals

Practice Playwright with TypeScript. Develop QA reasoning and progress toward SDET architecture. Explore provisional AI feedback while keeping original assessments unchanged. Extend learning toward DevOps and System Design in later stages.

Technical approach

Local practice uses Playwright with TypeScript against a synthetic Practice Store. Technical exercises are in English; explanations and feedback are available in English and Spanish.

Quality strategy

Rubric self-assessment leads to reinforcement and reassessment. Knowledge checks are graded automatically; written reassessments await review. Provisional AI reviews are recorded separately from original grades.

Deployment and DevOps

The application is deployed from GitHub to Railway with PostgreSQL. The DevOps curriculum and cloud backup/recovery validation remain planned.