SDET/Test Architect Essentials -Road to Full stack QA

SDET/Test Architect Essentials -Road to Full stack QA
SDET/Test Architect Essentials -Road to Full stack QA

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 15h 55m | 3.15 GB
eLearning | Skill level: All Levels

Advanced Tutorial to Learn essential skills needed to transform your career from QA Engineer to SDET/Test Architect

If you have a passion to take up your Automation career to the next level? If yes then join me on this journey. The one and only Best “Full Stack QA tutorial” which touches upon technical challenges in every phase of Automation by providing smart solutions using latest technologies like Dockers, Jackson API, Jenkin Pipelines, Data Structures using Java Streams, Window Batch Scripting, Database readers, GIt and many more! After successful course completion, you should be able to apply for any Test Architect /SDET positions or lead the Challenging Automation projects from Scratch.

Below are in detail Scenarios we are going to cover in this Tutorial

– Dockerization, integrating Selenium Grid with Docker,

– Building JSON/XML from database results,

– Parsing JSON into Java objects with Jackson API,

– Jenkins pipeline Scripting for CI/CD,

– Dynamically monitoring Server Logs with Java,

– Windows Batch job scripting,

– Data provider to Excel Integration,

– Java streams, Lambda expressions,

– GIT version control system and many more,


  • Understand and implement Docker to provide virtualization environments for Automation Tests
  • Build JSON/XML on the fly from JDBC Query results with Jackson API and POJO implementation
  • Build and execute Window Batch Scripts for invoking Servers(Selenium/Protractor)
  • Understand Jenkin pipelines scripting for CI/CD
  • Complete knowledge on latest Java Streams and Lambda Expressions for interview prep
  • Parsing JSON files into Java objects to feed into Web Automation tests
  • How to monitor server logs dynamically with Java
  • Integrating TestNG Data provider into Excel for building robust Data-driven Automation
  • Understanding GIT commands in depth and version control