AI in software testing
Identify useful AI-assisted workflows, evaluate risk and build guardrails for testing and code review
Software quality engineering
AI in software testing, without the hype
Practical guidance on using AI across testing, QA and code review, grounded in the engineering practices that make software dependable
12Pluralsight courses
4.7Average rating
720+Learner ratings
Since 2020Teaching online
02 About
Pluralsight Author
Hello, I’m Marko
Quality engineering that works in real teams
I’m a Lead QA Engineer at symphony.is, a Pluralsight author and a software quality specialist with a decade of experience across test strategy, automation architecture, CI/CD, performance testing, quality metrics and mentoring
Since 2020, I’ve created 12 Pluralsight courses on Selenium, Cypress, API testing, BDD, ISTQB and AI-assisted quality engineering, earning a 4.7 average rating from more than 720 learner reviews
My focus is simple: turn complex quality practices into systems that engineers can understand, adopt and improve
AI-assisted testingTest strategyTest automationAPI qualityCypressSelenium
03 Consulting
QA consulting and training
A practical second opinion for your quality strategy
I help engineering teams make sensible decisions about AI in software testing, automation architecture and the way quality fits into delivery
QA strategy review
Find gaps in process, ownership, tooling and metrics, then turn them into a focused improvement plan
Test automation consulting
Review architecture and coverage across UI, API and CI/CD so the test suite remains useful as the product grows
New course in development
GenAI in Software Testing, QA and Code Review
A grounded guide to applying generative AI across testing and review workflows without outsourcing engineering judgement
04 Pluralsight courses
Learn software testing by doing
Focused courses for QA engineers, developers and teams building dependable software