AQA + AI: Go from Manual to Automation in Just 6 Months
Master test automation with expert guidance, real-world projects, and the skills you need to level up your QA career.
About the Program
On-Demand Tech Stack
You’ll learn Python, Selenium, PyTest, API testing, and the AI tools companies already use to speed up and optimize QA processes. Only practical, in-demand skills — nothing extra.
Real industry experience
Our instructors share real automation and AI-testing cases from their projects. You’ll see how these technologies work in production and what employers actually expect from AQA engineers.
Practice-first learning
Every module includes hands-on labs and mini-projects in Python. By the end of the program, you’ll build a full automation project with AI tools — a real piece for your portfolio.
Career support included
We don’t just teach the tech — we help you get hired. You’ll get a polished résumé, interview prep, and guidance on how to stand out in the job market. If you're aiming for a promotion at your current company, we’ll help you craft a strong case and an actionable plan.
Flexible format
Completely online, with evening classes — easy to balance with work, family, and life. The program follows our core principle: less theory, more doing.
Community and mentorship
You’ll have mentors, teaching assistants, and a supportive peer group by your side. They’ll help you debug, stay motivated, and keep moving forward all the way to your first offer.
Built for Careers at Top Tech Companies
Average AQA Salaries in the U.S.
This program is perfect for:
Manual testers ready to level up.
If you already know manual QA, it’s time to move into automation. You’ll learn to write automated tests in Python, work with Selenium, PyTest, API testing, and the core tools used in real companies.
QA specialists who want to grow — and earn more.
Automation opens doors: more responsibility, more interesting tasks, and significantly higher pay.
Those who completed a manual QA course but still can’t land a job.
The market is hiring automation engineers, not just manual testers. We’ll help you become one of them: master Python and real AQA tools so you can confidently enter the job market and land your first offer.
Program Overview
- Meet your instructors – learn who created this course, why it was built, and how it can help you grow your career in tech.
- Set up your environment – install and configure all the essential tools: Python, VS Code, Git & GitHub, Terminal (Command Line), and Pytest. This setup will allow you to write, run, and test code smoothly from day one.
- Get familiar with key testing concepts and technologies – understand what automation testing, frameworks, and test scripts are, and how they connect to real-world QA workflows.
- Learn how AI is changing QA – discover how modern testing uses AI-assisted tools to speed up test generation, bug detection, and data analysis.
- A clear understanding of what the program is about and how it’s structured.
- A fully prepared workspace ready for hands-on learning.
- The foundation you need to confidently begin your main bootcamp journey.
- Understand why testing matters – learn the purpose of QA and how manual testing directly impacts product quality and user experience.
- Create professional test documentation – write clear and structured test cases, checklists, and bug reports that developers will actually love to read.
- Explore API testing with Postman – get hands-on experience testing real APIs, sending requests, analyzing responses, and finding issues.
- Apply your skills in a real project – complete a portfolio-worthy project that demonstrates your understanding of manual testing and attention to detail.
- A strong foundation in QA principles and manual testing workflow.
- Practical experience working with Postman and real-world test cases.
- Your first project to showcase in your QA portfolio.
- Set up Python and PyCharm – install and configure everything you need to start coding, and write your very first Python programs.
- Master Python basics – learn core syntax: variables, data types, operators, conditions, and loops – the building blocks of any program.
- Write functions and work with collections – practice using lists, tuples, sets, and dictionaries, and learn how to handle errors effectively.
- Organize and scale your code – discover how to structure projects with modules and packages, connect external libraries, and build small, functional mini-projects.
- A solid foundation in Python – the main language of modern test automation.
- Hands-on practice writing and running real code in PyCharm.
- Mini-projects that prepare you for building automated test scripts in the next module.
- Learn the fundamentals of unit testing – understand what unit tests are and how they help ensure code reliability using the pytest framework.
- Write your first tests with assert – create simple yet powerful tests and manage your test environment with fixtures and setup/teardown functions.
- Use test parameterization – run the same test with different sets of data to cover more scenarios efficiently.
- Build reliable, maintainable test suites – gain hands-on experience writing clean, organized, and reusable tests for real-world projects.
- A strong understanding of how automated unit tests improve code quality.
- Practical experience working with pytest, fixtures, and assertions.
- A complete test suite that demonstrates your ability to design maintainable automated tests.
- Master UI test automation – install Selenium WebDriver, launch your first automated tests, and learn how to locate elements using CSS selectors and XPath.
- Handle real-world scenarios – work with waits, alerts, multiple tabs, and iframes to make your tests stable and closer to real user behavior.
- Apply the Page Object Model (POM) – build reusable classes and helpers, and apply OOP principles to keep your test architecture clean, scalable, and professional.
- Create detailed test reports – set up Allure Reports, automate screenshots on failures, and implement a complete test case (for example, verifying sorting functionality) to showcase in your portfolio.
- Hands-on experience automating real web applications with Selenium WebDriver.
- Skills to design scalable and maintainable UI automation frameworks.
- A portfolio-ready test project that demonstrates your ability to build a professional testing setup from start to finish.
- Discover why Selene is a smarter alternative to Selenium – write your first UI automation tests with a cleaner, more human-readable syntax.
- Implement the Page Object Model (POM) – build reusable pages, helpers, and well-structured code for scalable Selene-based test projects.
- Integrate reporting and debugging tools – connect Allure Reports, set up automatic screenshots, and generate visual reports for failed tests.
- Run your tests in real-world environments – learn how to execute tests via CLI, Jenkins, Docker, and Selenoid, and build a complete CI/CD-ready automation project for your portfolio.
- Hands-on experience with Selene, one of the most modern and elegant frameworks for UI automation.
- Confidence working with advanced testing infrastructure tools like Jenkins, Docker, and Selenoid.
- A fully functional automation project with CI/CD integration to showcase in your professional portfolio.
- Understand the BDD approach – learn how Behavior-Driven Development helps bridge the gap between business and engineering teams through clear, shared language.
- Write business-friendly test scenarios – use the Gherkin syntax to describe user behavior, creating scenarios that everyone can understand.
- Connect Behave with Selenium – link Gherkin steps to executable test code and build your first automation suite written in “human-readable” steps.
- Simplify and scale your projects – apply Background, Scenario Outline, and Hooks to organize tests efficiently and reduce code duplication.
- Integrate Behave with Selene – combine BDD with your existing frameworks to make automation more flexible, modular, and collaborative.
- A deep understanding of BDD principles and how they improve communication and test coverage.
- Hands-on experience writing and running Behave + Selenium/Selene automation scenarios.
- A complete BDD-style project for your professional portfolio, demonstrating your ability to connect business logic with technical implementation.
- Master API testing with Postman – send requests, use variables and scripts, and automate common API testing scenarios with built-in assertions.
- Write API automation in Python – use the requests library and pytest framework to build automated API tests that validate endpoints and data flow.
- Apply advanced techniques – handle authorization, chained requests, parameterization, and error handling for more realistic, production-level test coverage.
- Combine BDD and API testing – create Gherkin scenarios for your APIs and connect them with Python code to build readable, flexible, and maintainable automated tests.
- Hands-on experience testing real APIs using both Postman and Python.
- The ability to design end-to-end automated API tests with proper structure and error management.
- A portfolio-ready API testing project that demonstrates your technical depth and understanding of both automation and BDD principles.
- Analyze requirements like a QA professional – review project specifications, clarify details with the team, and prepare all necessary documentation before testing begins.
- Design a complete testing strategy – create test cases, checklists, smoke, and regression tests, and perform your first full manual testing cycle.
- Automate both UI and API tests – build automation using Selenium / Selene, Requests, and Allure Reports, and organize your frameworks with clean, professional architecture.
- Deliver and present your results – prepare a detailed final report, visualize key findings, and present your project — ready to showcase in your portfolio and at job interviews.
- A complete end-to-end QA automation project that demonstrates your testing expertise.
- Hands-on experience combining manual, UI, and API testing in a professional setup.
- A portfolio-ready capstone project to impress employers and boost your job opportunities.
- Use ChatGPT for smarter testing – generate test cases, automated test scripts, and bug reports, and learn how to review AI-generated code for accuracy and security.
- Master GitHub Copilot as your QA assistant – speed up test automation, use Chat Mode to explain or debug tests, and boost productivity while keeping code quality high.
- Explore modern AI-powered IDEs – get hands-on with tools like Cursor and Windsurf to see how built-in AI assistants help you write, improve, and navigate test code faster.
- Work safely and efficiently with AI tools – learn best practices to balance speed, quality, and security when integrating AI into your daily QA workflow.
- Practical experience using AI tools to enhance your testing and automation process.
- The ability to critically evaluate and refine AI-generated code.
- A clear understanding of how to combine human expertise with AI assistance for maximum efficiency and reliability.
- Understand how machine learning and neural networks work – explore how AI models are trained and why evaluation metrics are essential for measuring their quality. Learn key metrics like accuracy, precision, recall, and F1-score.
- Dive into RAG architecture (Retrieval-Augmented Generation) – study how retrievers and generators interact, and learn to test both components to identify common issues that impact model performance.
- Master evaluation metrics for RAG systems – assess AI responses based on relevance, correctness, faithfulness, completeness, and context accuracy.
- Work with modern AI evaluation frameworks – get hands-on experience using G-Eval, DeepEval, and Ragas to automatically analyze and interpret the quality of generative AI models.
- A solid understanding of how AI models are evaluated in real-world testing.
- Practical experience measuring the quality and reliability of generative AI outputs.
- The ability to apply automated evaluation tools to assess large language models and RAG-based systems.
Meet Your Instructors
Konstantin
8+ years leading AQA teams and implementing AI solutions in real projects. He can explain even the most complex topics in a clear, practical way.
Katya
6 years in tech education. She built this course so you won’t waste time on anything unnecessary — only the skills that truly matter and move you toward results.
Angelina
Always behind the scenes making sure everything runs smoothly — from operations to communication — so you never miss an update.
Konstantin
8+ years leading AQA teams and implementing AI solutions in real projects. He can explain even the most complex topics in a clear, practical way.
Katya
6 years in tech education. She built this course so you won’t waste time on anything unnecessary — only the skills that truly matter and move you toward results.
Angelina
Always behind the scenes making sure everything runs smoothly — from operations to communication — so you never miss an update.
Built for Careers at Top Tech Companies
What You’ll Walk Away With
Enroll Today
- Full access to all learning materials and the training platform
- 2 live online workshops per week with your instructor
- Hands-on projects, code reviews, and homework with personalized feedback
- Interview preparation and mock interviews
- 1:1 career coaching
- Access to bonus modules (algorithms, technical interview prep, onboarding)
- 3 months of post-graduation career support
- Private community of graduates and industry experts