Zero To Mastery : Automation using Sikuli, Java and Selenium

Posted By: ELK1nG
Zero To Mastery : Automation using Sikuli, Java and Selenium

Zero To Mastery : Automation using Sikuli, Java and Selenium
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.44 GB | Duration: 3h 21m

Automate beyond thinking, Utilize the extraordinary strength of OpenCV library Tesseract OCR for automation

What you'll learn
Learn To Automate Standalone, Browser Applications Using Sikuli, Selenium and Java
Learn To Automate Virtual Machine, Eclipse IDE, Notepad Using Sikuli
Learn To Extract Text From Images, PDF Screenshots, Convert Video to Images
Automate Everyday Task Using Sikuli, Selenium
Automate Anything Visible On Your Computer Screen
Learn To Automate Usual Applications Like YouTube

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

Who this course is for:
Beginner advanced software automation engineer, QA engineer, curious students, and professional who want to switch their career from manual testing to software automation field