Bonus: API Testing course
QA career
to reserve your seat in this round
with an average of 6-8 hours per week
with entry-level knowledge or experience in Manual QA
Our training makes QA Automation accessible for anyone with Manual QA foundations. Learn UI testing with Selenium and Behave (Page Object Pattern). Master Automation, learn the popular programming language Python, and become an in-demand QA Engineer.
Meet our graduates
QA Engineering training is included: no prior experience required
Land a job even before you finish the program
Save on your tuition: get 6 programs with bundle savings
Meet your Career Advisor and start your journey toward a successful career in Quality Assurance. Ask about financing options!
Join our immersive classes – start with 5 weeks of Python followed by 7 weeks of QA Automation. Practice and get ongoing support
Get real-world experience for your resume and LinkedIn. Practice and gain confidence by completing a project with one of our partner companies
Improve your resume and LinkedIn profile and prepare for job interviews
Accelerate your job search with AI-enhanced job matching to get the most relevant job openings daily
Our graduates earn an average starting salary of $110-170K per year!
AI-enhanced job matching: Get the most relevant job openings daily
Intro on QA Automation and why testers need Python.
Learn the intricacies of PyCharm and GitHub through our comprehensive pre-recorded tutorial.
Data types. Numbers: integer, float. Arithmetic operations. Syntax and error messages. Print function. Number conversion (int(), float()).
Formatting strings. Concatenation. String conversion (str()). Slicing and indexing. String methods.
If, elif, else. Conditional and boolean operators. Logical AND, NOT & OR. Nested conditions.
Practice your Python skills using Codewars, an online platform that helps improve your coding skills through challenges called "kata." Codewars is an essential tool for interview preparation.
Creating and modifying lists. List methods. Tuples and sets.
Creating dictionaries. Accessing dictionary values. Dictionary methods. Loops with dictionaries.
Calling functions. Return and break keywords.
Creating dictionaries. Accessing dictionary values. Dictionary methods. Loops with dictionaries.
Defining classes. Class objects and inheritance. Importing modules and using packages.
Course introduction. Setting up the environment for the course. This includes installing Python3 and PyCharm, plus Selenium WebDriver and Behave.
Locators, specifically XPATH, and how to use them to identify elements on a web page. Most common WebDriver commands, such as clicking, typing, and navigating to a URL. Creating the first test case using Selenium WebDriver.
Git is a powerful version control system used to manage code and track changes. In this lesson, you'll learn how to create a Git repository, stage and commit changes, and use branches to manage development. You'll also learn how to use basic Git commands like git clone, git pull, and git push. With this lesson, you'll be on your way to becoming a proficient Git user!
CSS selectors as an alternative to XPATH. Creating multiple test cases. The fundamentals of behavior-driven development, including features, scenarios, and steps. Common errors and how to effectively debug test scripts.
Learn how to work with multiple web elements in test automation: find_elements and find_element. Gain a deeper understanding of these fundamental concepts of automated tests. Assertions for multiple elements.
Use WebDriver Waits, including explicit and implicit waits as well as sleep. These concepts are essential for creating stable and reliable automated tests that can handle various scenarios and conditions. Loops in test automation.
Page Object Pattern is a key concept in QA Automation. The Page Object Pattern is a design pattern used to create a structured representation of web pages in code. It allows to separate locators and build reusable methods. It helps avoid code duplication and makes the code easier to maintain.
Expected Conditions library, which helps in creating more reliable and efficient automated tests.
Window handling, a crucial aspect of web automation that involves switching between different windows and tabs. By mastering these techniques, you can create more comprehensive and effective automated tests that cover various scenarios and conditions. Learn Multi-Browser Testing Using BrowserStack Platform.
Actions, Frames, Dropdowns. Actions refer to user interactions such as clicks, inputs, and selections. Dropdowns are GUI elements that allow users to select from a list of predefined options. Frames are used to embed HTML documents within other HTML documents. Understanding how to handle these elements in automated testing is crucial to ensure accurate and efficient testing.
Learn to use different tools and run tests in multiple browsers to improve the coverage and view the results of automation easily. Logging is used to capture and log the events that occur during test execution, providing valuable insights for debugging and analysis. BrowserStack allows to run the tests in the cloud. Allure is a reporting tool that generates detailed and comprehensive reports on test execution results. Learn how to use AI in Test Automation.
Mobile automation gains popularity, especially with the increasing use of mobile devices. Appium is an open-source mobile automation framework that allows testing of both Android and iOS apps. In this lesson, we will setup mobile automation framework from scratch and build an automated test case using Appium.
Job search and job applications. Communicating with recruiters and hiring managers. How to answer questions in job interviews. Understanding the job market and how to negotiate your salary (including benefits and compensation). Full-time vs. contract positions. How to answer the “tell me about yourself” interview question.
A Sr. Software Developer in Testing, Lana has been working in QA for over ten years. Her work has been very colorful, and she has a great deal of experience in building and leading front end and back end automation at many large organizations. Throughout her years in QA, Svetlana has taught and mentored many QA professionals who now work at top Silicon Valley companies.
Vitaly is a QA Automation Engineer with over seven years of experience. He earned his master's degree in Computer Engineering and has been in the tech industry for the last 12 years. He has worked for various Silicon Valley companies and has a profound expertise in building test automation frameworks for back end and front end services. Education is his passion, and he enjoys helping people get into the technology field.
Renne has been working in the tech field for 17 years. His past job titles include software developer, scrum master, and technical team lead, and he's now a Senior Python Engineer at Six Feet Up, Inc. He's passionate about sharing his professional knowledge and has participated in various projects outside of his jobs as well, such as conducting live coding sessions and releasing open-source projects that others can use.
Joseph is a software engineer with over ten years of experience. He has worked on all parts of the stack for large companies (Callan, VertexOne) and startups (WaterSmart, Shippo) and spends most of his time designing and implementing cloud and backend solutions for clients with challenging business problems. Joseph likes to spend his free time teaching software development principles to a new generation of software engineers because, as he says, "Teaching is learning twice."
our grads
are hired by:
Careerist is fully committed to your long-term professional success. We offer a 100% money-back guarantee if you don’t land a job in tech within one year of graduation. For complete terms and conditions, read here. Students utilizing a loan option are not eligible.
Refund eligibility requirements include
(but are not limited to):
Invest in your
QA career
Includes QA Automation training, Python, as well as API Testing and SQL courses
Includes QA Engineering, QA Automation, Python, as well as API Testing and SQL courses
Get matched with a Career Advisor to help you select the right program for you.
What is Python?
Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis.
We teach Python for free as the first step of QA Automation course so you can become an in-demand QA engineer to automate tasks and increase your efficiency using Python.
No prior programming experience is necessary to start learning.
At Careerist, we set a new industry standard for supporting our students. During your studies, you can connect with your instructors and support staff to get help. When you join your internship, you‘ll be part of a team, and your team lead can answer questions. Finally, you‘ll be assigned a 1:1 Career Coach to help with your job search and prepare you for job interviews. There‘s no more supportive learning and job search experience than with Careerist.
To help with your financial investment, we now offer options to ease tuition payment including: installment plans and a financing option offered by our third-party lending partners. To tailor your plan, please contact us at [email protected]
We have developed a program that will help you get a job in QA if you follow all of our team's recommendations. Because Careerist is fully committed to your success, we offer a 100% money-back guarantee if you do not land a job in tech within one year of graduation. Please, read the complete terms and conditions and refund eligibility requirements here.
Yes! At Careerist, our goal is to help you get a great job in tech quickly. Our program provides the most up-to-date skills and materials that are in line with the job market. Instructors, mentors, and coaches will provide insider information to help you stand out in the job market. Your Career Coach will work with you to provide the necessary foundation and guide you through the job search process. If your main goal is to find a job quickly, we will prioritize that strategy and continue working with you until you secure an offer.
You don’t! The internship is remote and you can set your own schedule (as long as you meet the deadlines). We recommend setting aside several hours a day for 5 days a week during your internship.
This program doesn’t offer paid internships. However, your internship is a vital part of your plan to land your first job in tech. The internship will help you practice your new skills hands-on, and also provide you with references and content for your LinkedIn and resume. You can also bring up your real-work experiences during your job interviews to maximize your chances to get a job offer fast!
Yes! You will receive a Careerist Certificate of Completion.
Our instructors are experienced QA professionals from the biggest companies in the world (Google, Apple, Intel, Meta, and Bank of America to name a few). In addition to their expertise in QA, they are passionate instructors who explain concepts clearly while providing real-world answers to questions about your future job.
Yes, everyone is welcome! Just please keep in mind that $65K-$100K salaries are typically found in the US and Canada only. Please research what’s the expected salary in your region.
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