Selenium WebDriver 4 with Python - Zero To Hero
About this Specialization
Looking to enter the automation industry with the latest technologies or learn how Selenium WebDriver and Python programming are used in automation projects? This course helps you build a solid foundation in web automation frameworks. It provides comprehensive coverage of Selenium WebDriver and Python, starting with basic concepts like variables, data types, control flow, object-oriented programming, exception handling, and functions.\\n\\nYou\'ll learn to install and run Selenium WebDriver on various browsers, progressing to designing automation frameworks for testing web applications. By the end, you\'ll be familiar with Python and Selenium WebDriver, and capable of testing real-world web applications on any browser. You\'ll also set up and configure Python, install Selenium WebDriver using pip, understand unit testing with Pytest, master data-driven testing, perform cross-browser testing, and integrate Jenkins and GitHub with Selenium.\\n\\nThis course is ideal for quality assurance professionals or manual testers looking to enter automation testing, with no prior knowledge required as all topics are taught from scratch.Created by: Packt

Related Online Courses
This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab shows you how to create and deploy a Cloud Function using the Cloud Platform Command Line. Watch the short... more
The self-service graphical interface in Amazon Connect makes it convenient for non-technical users to design contact flows, manage agents, and track performance metrics. This course will introduce... more
This course is an ideal introduction into creating virtual environments in Android. This course is unique as it covers a range of tools and techniques to create immersive 3D environments, giving... more
This course provides information about attraction and relationships, broadly defined. Topics in the course include how people learn about each other, the mechanisms that underlying the initial... more
In this 2 hour long hands-on project, we will train a deep learning model to predict the type of scenery in images. In addition, we are going to use a technique known as Grad-Cam to help explain... more