Learn QA Automation Engineering
- Learn high-demand coding language
- Land a job or get your money back*
- Mentorship, Internship and 1:1 Career Coaching
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.
Manual QA training is included: no prior experience required
Land a job even before you finish the program
Save on your tuition: get 3 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 11 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
Your 1:1 Career Coach will help you to improve your resume and LinkedIn and prepare for job interviews
Explore openings and track all of your applications in one place to accelerate and simplify your job search
Our graduates earn an average starting salary of $110-170K per year!
Land your dream job with Careerist. Your coach will provide the support and motivation you need to shine in your job search
Your personal job success companion
Elevate your first impression
Ace your next interview
Get support even after securing a job
Find jobs fast with tailored matches
Track applications for a quicker search
*Review terms and conditions here.
In this module, you will learn the fundamentals of the Python programming language, which serves as the foundation for QA Automation. You will gain knowledge and hands-on experience with Python syntax, data types, control flow, functions, and file handling. Passing 10 lessons, you will have a solid understanding of Python programming and be ready to apply it in the context of QA Automation.
This module provides an introduction to QA Automation and sets up the necessary environment for the course using Python, Selenium, and Behave. You will learn about locators, the most common WebDriver commands, and create your first test case. Additionally, you will be introduced to Git, a version control system widely used in software development.
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.
In this lesson you'll learn:
– How to create a GitHub account and repository
– How to install and configure Git
– What Git commands are commonly used in the console
– How to create commits
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!
In the third module, you will dive into web testing fundamentals. You will learn about CSS selectors, how to create and execute test cases, and the basics of behavior-driven development using Behave. The module also covers HTML and CSS basics, including the structure of HTML documents, adding links, images, and media, as well as applying styles using CSS selectors.
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.
This lesson will introduce you to the basics of HTML, which is a common language in web development and therefore important for web testing. HTML is used to create web pages. In this lesson, you'll learn the basics of creating an HTML document, including how to structure the document with headings, paragraphs, and lists. You'll also learn how to add links, images, and other media to your web pages.
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.
This CSS basics lesson is designed for beginners who seeking to learn the fundamentals of Cascading Style Sheets. CSS is used to to set layouts and styles for web pages created with HTML. In this lesson, you'll learn how to apply styles to HTML elements using selectors, declarations, and values. You'll also explore various CSS properties that can be used to control the appearance of text, backgrounds, borders, and more. Additionally, you'll learn about the box model, which is a fundamental concept in the CSS layout.
This module will expand on web testing fundamentals and delve into advanced web testing topics such as WebDriver waits, expected conditions, window handling, and the page object pattern. In addition, you will be introduced to algorithms with lessons on algorithmic problem-solving techniques and string manipulation.
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.
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.
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.
In this lesson on coding interviews, we'll explore why coding interviews are important and how to prepare for them. Coding interviews are a common part of the hiring process for many tech companies and involve solving algorithmic problems in a limited amount of time. In this lesson, we'll discuss common coding interview formats and strategies for preparing for them, including practicing with coding challenges and algorithms.
In this lesson, you'll learn about strings and their uses in programming. You'll explore how to define and manipulate strings in Python, including slicing and concatenation. Additionally, you'll learn about common string methods, such as finding substrings and replacing characters. You'll also learn about formatting strings and handling characters.
In the fifth module, you will learn about best practices in test automation. You will explore advanced topics such as handling actions, dropdowns, and frames, performing multi-browser testing, implementing logging, and utilizing tools like BrowserStack and Allure for reporting. This module also includes lesson where you will learn how to use Artificial Intelligence effectively in your daily tasks.
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.
Logging is used to capture and log the events that occur during test execution, providing valuable insights for debugging and analysis. Allure is a reporting tool that generates detailed and comprehensive reports on test execution results. Behave commands will help you run tests from a terminal. In this lesson, you will also learn how to simplify your work by using AI.
In this lesson, you'll learn about lists and their uses in programming. You'll explore how to define and manipulate lists in Python, including adding and removing elements, slicing, and sorting. Additionally, you'll learn about common list methods and functions, such as finding the length of a list and searching for specific elements.
In this lesson, we’ll continue solving problems with lists.
The final module focuses on basic mobile testing and job search preparation. You will learn about mobile automation using Appium for testing Android applications. You will also receive guidance on job search strategies, interview preparation, and important considerations for the job market. The module concludes with a Q&A session to address any remaining questions or concerns.
In this lesson, you'll learn about sorting and its uses in programming. You'll explore different sorting algorithms, including bubble sort, selection sort, and merge sort, and learn how to implement them in Python. Additionally, you'll learn how to use Python's built-in sorting functions, such as sorted() and sort(), to sort lists and other iterable objects.
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.
Sr. Software Developer in Test with 10+ years of silicon valley experience in companies like Reddit
QA Automation Engineer with 12+ years of experience at variety of tech companies worldwide
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.
Refund eligibility requirements include
(but are not limited to):
Includes QA Automation training program, and Python
Includes Manual QA, QA Automation, Python, SQL programs
Our programs are reviewed in all major course review sites as well as national media. Careerist is your trustworthy career partner.
Up to 29% off, Invest in your future career
Get matched with a Career Advisor to help you select the right program for you.