AI Career Booster
Your AI-driven QA journey starts here
BUILD REAL CONFIDENCE AND GET PAID LIKE THE QA WHO ARE ALREADY DOING IT
Learn at your own pace

Recommended For
Beginner Level
With entry-level Manual QA knowledge
Learn the tools
For Mobile and Web
Master Playwright, Claude Code, Cursor, XCUITest, Maestro
Build the proof
Ship AI-built QA projects
Real AI Test Automation projects you can show in any interview
Get paid more
Build your portfolio
Land the AI-driven QA roles companies pay $160k+ for
Who is this program for?
QA beginners who want to transition into automation
Manual QAs with basic automation who feel stuck or underpaid
Automation QAs who want a salary increase and stronger career positioning
“ I know how to test APIs and UIs… but AI apps feel different.”
→ This path bridges that gap.
You are here
Manual QA without AI skills
Up to $80k
and at risk of replacement
After AI Career booster path
Automation QA with AI skills
From $160k
Our graduates typically land roles like QA Engineer, Test Automation Engineer, iOS Test Engineer, or Senior QA with automation focus. The AI-assisted testing components make you particularly attractive to modern tech companies.
TRADITIONAL QA
Requirements
Test Case Writing (Manual)
Static, predefined
Test Execution
Deterministic
Bug Detection
Pass / Fail
Reporting
Static reports
Maintenance Heavy
Flaky tests

AI-DRIVEN QA
Requirements + AI Behaviour
AI-Assisted Test Generation
Dynamic, behavior-based
Autonomous Execution (Agents)
Non-deterministic validation
Risk-Based Test Prioritization
AI decides what to test, not just how
Continuous Evaluation + Metrics
Accuracy / Reliability / Cost
Self-healing / Adaptive Systems
Minimal maintenance

90%
Our students were promoted at work, while their colleagues were fired.
100%
Our students who wanted to change jobs received offers in less than a month of job searching.
Grow as QA with Engenious University
Perfect for career boost
Courses are constantly updated
Mentors who actually work in QA Automation
Why Join Career Booster?
Learn the QA skills companies are hiring for now
Modern QA engineers are no longer expected to only execute predefined test cases or write manual checks. Today’s QA role is built around automation, AI-assisted workflows, and engineering thinking.
Adapt to the AI shift in testing
An AI-driven QA builds automation systems for web and mobile applications and uses AI tools to accelerate test creation, improve coverage, and move faster without sacrificing quality. They do not rely blindly on AI. They review, refine, and turn AI-generated output into reliable and maintainable solutions.
Build practical experience, not just theory
Instead of focusing only on pass/fail results, they contribute to release confidence, system reliability, and product quality at scale.
Keep growing with weekly updates and community support
Get continuously updated content, guidance from instructors, and access to a QA community that helps you keep learning beyond a single course.
You After the Path
QA Automation Engineer
Portfolio-ready AI-Driven testing experience for Mobile and Web applications.
$180,000
Expected salary
Hard Skills
Soft Skills
Tools
Knowledge
You learn how to build automation for web and mobile applications, use AI tools to generate and improve tests faster, design scalable and maintainable test architecture, validate APIs, network behavior, and real user flows, reduce flaky tests, and integrate tests into CI/CD pipelines.
We've taught to ...
Our alumni at
You Won't Find Anywhere Else
A Guided, Practical Growth Path
What This Path Unlocks for You

What’s Your Path to Becoming Automation QA engineer?
Start with Web Path
Dive into Playwright, one of the most in-demand web automation framework and learn about its AI Agents.
Learn Mobile Automation
Boost your iOS and Android automation skills and leverage AI to 10x your QA game.
Build a Portfolio
Finish projects that prove you can handle enterprise-level automation challenges.
Get Career Coaching
With mentorship, expert code reviews and personalized guidance, turn your projects in a powerful proof point.
Land your perfect job
Become an AI-Driven QA Automation Engineer
Yes – new lectures are added every week. When a new tool starts appearing in job descriptions, it's in the curriculum fast. Our instructors are active in the market and watch what hiring managers are actually asking for. You're not learning a frozen 2023 syllabus.
Igor Dorovskikh has 15+ years in QA and has worked at Tinder, Expedia, and consulted at Apple and Grammarly.
Gregory Goldshteyn is an award-winning QA leader who's shipped at Salesforce and Sony.
Daniel Augustynowicz is an active iOS developer and SDET, has
These are engineers who are currently in the market — not retired lecturers.
Three things:
- the curriculum updates weekly (YouTube channels don't)
- your actual code gets reviewed by working engineers (Udemy doesn't)
- you build a real portfolio with mentorship – not just watch videos and take quizzes.
Our 100% job placement rate comes from those three things, not from content alone.
Yes – especially if you're not actively using AI in your testing workflow. The program teaches the modern stack that's replacing older frameworks in hiring posts, plus the AI-augmented workflow that pushes comp into the upper salary bands. Most plateaued automation QAs get more out of this than manual QAs.
The program is designed for people with a full-time job. Plan for roughly 30–60 minutes per day of structured learning, plus time for your projects. Most students finish within 2–6 months. You go at your own pace — there are no cohort deadlines.
AI Career Booster is for:
- Software testers who want to upskill fast.
- Manual QAs who want to stay relevant.
- QA professionals who were laid off.
- Test engineers managing large test suites.
- People aiming to become strong Web SDETs.
- Teams adopting low-code automation frameworks.
- QA engineers working on Android or iOS apps.
- Anyone wanting AI-assisted mobile test generation.
You can apply on this page, use the button below and pick preferred subscription plan: monthly or for 6 months. The latter has more benefits included.
You need working experience in QA — test design, bug triage, basic tool familiarity. You don't need to be a developer. The program teaches you automation from a QA-first perspective, not a developer perspective. If you've been a manual or basic-automation QA for 1+ years, you're at the right level.
Still have questions?
Not sure if this program is right for you? Need help choosing the best path or want to understand the curriculum better
Our AI assistant is here to help — fast, friendly, and available anytime.
Ask AI career assistantReady to Begin Your ?
The future of QA isn't about choosing between Selenium or Playwright - it's about Mastering Prompt Engineering, LLM Testing and AI Debugging.
AI is transforming quality engineering — this path ensures you transform with it.