
This lecture includes the agenda and all about this course.
In this section will learn to automate web application using only selenium.
In this tutorial will learn to automate web as well as a standalone application using sikuli and selenium.
In this section will learn to automate web captcha using sikuli and selenium.
This section will design an automation script that will automatically refactor the code in eclipse IDE using sikuli.
This section will design an automation script to automatically clean the windows recycle bin.
This section will design a automation to perform copy-paste operation using sikuli
This section will design an automation script to perform the drag and drop operation using sikuli.
Lean-to draw a rectangle in MS paint application using sikuli
What you'll learn to automate below projects:
Project - Using selenium
Project - Using sikuli and selenium
Project - Automate web captcha using sikuli and selenium
Project - Automatic code refactor in Eclipse IDE using sikuli
Project - Empty recycle bin using sikuli
Project - Automate copy-paste operation
Project - Drag and drop using sikuli
Project - Draw in Microsoft paint using sikuli
Project - Extract date from an image using sikuli
Project - Capture region and extract the text using sikuli
Project - Extract text from web PDF screenshot using sikuli and selenium
Project - Find and get relative text
Project - Run program inside a virtual machine using sikuli
Project - Automatic code writer Eclipse IDE using sikuli
Project - Write the text in notepad using sikuli
Project - YouTube video to image convertor using sikuli and selenium
SikuliX automates anything you see on the screen of your desktop computer running Windows, Mac, or some Linux/Unix. It uses image recognition powered by OpenCV to identify GUI components. This is handy in cases when there is no easy access to a GUI's internals or the source code of the application or web page, you want to act on.
Tesseract OCR engine can be used directly or using an API to extract typed, handwritten, or printed text from images.
It supports various locales and fonts.
Who this course is for:
QA Automation engineers
Manual QA professionals who are looking to change their career in automation
Keen automation professionals who want to advance in their automation career