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Updated in [April 29th, 2023]

This course provides an overview of the basics of Selenium. Students will learn the fundamentals of Selenium, including its components and history. They will then use Selenium Web Driver to create automation tests. Each video includes notes in the description to make it easy to follow and understand. By the end of the course, students will have a better understanding of Selenium and be able to use it in their projects.

[Applications]


After completing this course, learners can apply their knowledge of Selenium to create automated tests for web applications. They can also use Selenium to automate web browser activities, such as filling out forms, clicking on web elements, and navigating web pages. Additionally, learners can use Selenium to create automated tests for web applications that are compatible with multiple browsers.

[Career Paths]
1. Automation Tester: Automation testers use Selenium to create automated tests for web applications. They are responsible for writing, executing, and maintaining automated tests. Automation testers must have a strong understanding of software development and testing principles, as well as experience with scripting languages such as JavaScript and Python. The demand for automation testers is increasing as companies look to reduce manual testing and increase the speed of their software development cycles.

2. Software Developer: Software developers use Selenium to create automated tests for web applications. They are responsible for writing, executing, and maintaining automated tests. Software developers must have a strong understanding of software development and testing principles, as well as experience with scripting languages such as JavaScript and Python. The demand for software developers is increasing as companies look to reduce manual testing and increase the speed of their software development cycles.

3. Quality Assurance Engineer: Quality assurance engineers use Selenium to create automated tests for web applications. They are responsible for writing, executing, and maintaining automated tests. Quality assurance engineers must have a strong understanding of software development and testing principles, as well as experience with scripting languages such as JavaScript and Python. The demand for quality assurance engineers is increasing as companies look to reduce manual testing and increase the speed of their software development cycles.

4. DevOps Engineer: DevOps engineers use Selenium to create automated tests for web applications. They are responsible for writing, executing, and maintaining automated tests. DevOps engineers must have a strong understanding of software development and testing principles, as well as experience with scripting languages such as JavaScript and Python. The demand for DevOps engineers is increasing as companies look to reduce manual testing and increase the speed of their software development cycles.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, such as programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, data structures, and algorithms. With the increasing demand for automation and software development, this degree path is becoming increasingly popular.

2. Master of Science in Software Engineering: This degree path focuses on the development of software applications and systems. It covers topics such as software design, software testing, software architecture, and software development processes. This degree path is ideal for those who want to specialize in software engineering and automation.

3. Bachelor of Science in Information Technology: This degree path focuses on the use of technology to solve business problems. It covers topics such as database management, network security, and web development. This degree path is ideal for those who want to specialize in information technology and automation.

4. Master of Science in Artificial Intelligence: This degree path focuses on the development of artificial intelligence systems. It covers topics such as machine learning, natural language processing, and robotics. This degree path is ideal for those who want to specialize in artificial intelligence and automation.