QA and A/B Testing Courses: Top 5 in 2026

Top 5 QA and A/B Testing Courses for Developers in 2026

Five relevant software testing courses cover the journey from basic QA to specialized A/B experiments. Selection was based on criteria including real-world practice on production services, support quality, and fresh reviews. These programs are suitable for middle/senior developers looking to deepen their skills in automation, API testing, and AI integration without wasting time on theory.

The comparison focuses on key metrics: duration, format, and unique features like simulators or work with Yandex services. Prices and installment plans are current as of 2026.

Course Comparison Table

| Course | School | Duration | Format | Key Feature |

|------|-------|--------------|--------|---------------|

| Testing Engineer | Yandex Practicum | 5 months | Cohort-based | 7-8 projects on Yandex services |

| Testing Engineer: Extended | Netology | 8 months | Cohort/self-paced | Diploma project + 36-month installment |

| Testing Engineer Profession + AI | Skillbox | 10 months | Online | AI in automated tests |

| Software Tester | Eduson Academy | 6 months | Self-paced | 60% discount, focus on automation |

| A/B Testing Simulator | karpov courses | 2 months | Group enrollment | Proprietary experiment simulator |

Yandex Practicum: Role-Playing Practice on Real Services

The program simulates working as an intern in a Yandex team. Testing is conducted on services like Metro, Routes, and Prikalavok: checklists, test cases, smoke and regression testing. Tools include DevTools, Charles for mobile, Postman for API, SQL, and Git. Advanced tiers include Python + Pytest + Selenium, plus an AI module for scenario generation.

• Level: From scratch.
• Workload: 15–30 hours/week.
• Certificate: Diploma with license.
• Installment: 4 months at 17,955 ₽.

Practice: 7–8 projects in portfolio, team workshop with real cases (competitive selection). Mentors are QAs from major companies, code reviews, and deadline curators. The portfolio helps in junior QA interviews.

Cons: Support chat is overloaded, workload higher than stated, workshop not available to everyone.

Netology: Systematic Approach with Diploma Project

Eight months to transition from manual testing to automation. Test design, API documentation, databases, CI/CD, TDD/BDD. Automation without binding to a single language.

• Level: Beginner/with base.
• Format: Cohort + self-paced.
• Certificate: Completion certificate.
• Installment: 36 months at 3,023 ₽.

Practice: Homework per module, coursework, diploma project for portfolio. Group communication motivates. Theory comes first, practice increases gradually.

Cons: Theory first, support not always prompt, diploma project is self-driven.

Skillbox: AI in Test Automation

Ten months with a focus on AI: generating test cases, finding bugs via ChatGPT-like tools. Base is manual testing, then auto-tests on Java/JS/Python, JUnit, Selenium for web/mobile.

• Level: From scratch.
• Format: Online.
• Certificate: + job placement assistance.
• Installment: 31 months at 4,346 ₽.

Practice from the first lesson, portfolio by 6 months. Language choice adds flexibility.

Cons: Long duration, general support without 1:1, price above market.

Eduson Academy: Self-Paced with Automation

Six months of access, pace at your discretion. Testing basics, API (Postman), SQL, automation projects.

• Level: From scratch.
• Format: Fully self-paced.
• Certificate: Completion certificate.
• Price: 60% discount (110,200 ₽).

Pros for the disciplined: Flexible schedule, focus on auto-tests.

Cons: Requires self-discipline, limited support.

karpov courses: A/B Experiment Simulator

Two months to practice A/B tests in a proprietary simulator. Focus on experiments for analysts and QAs, without excess theory.

Suitable for quick immersion into metrics, hypotheses, and result analysis.

How to Choose a Course for Your Goals

• For full immersion from scratch — Yandex Practicum (projects on production).
• Systematic learning — Netology (long installment plan).
• AI integration — Skillbox.
• Flexibility — Eduson.
• Narrow A/B focus — karpov.

Consider workload, support, and portfolio. Reviews confirm: practice solves employment.

What's Important:

• Real projects (Yandex: 7–8 on services) form a strong portfolio.
• AI modules (Skillbox) are relevant for 2026: scenario generation speeds up routine.
• Self-paced (Eduson) for combining with work, but requires discipline.
• Simulators (karpov) for A/B without risk on production.
• Installments up to 36 months lower the entry barrier.

— Editorial Team