Practical Concepts
Start with the testing problem, architecture and quality outcome—not the AI tool.
Orange Days provides live, hands-on AI training that helps professionals build practical skills they can apply at work.
Concepts are introduced only far enough to help participants build, debug, review and improve real QA solutions.
Start with the testing problem, architecture and quality outcome—not the AI tool.
Trainer demos introduce patterns; participants solve related scenarios themselves.
Assistants, agents, MCP, Playwright, CI/CD, n8n and RAG in one coherent program.
Quality Engineering · Automation Architecture · AI-Assisted Test Engineering
Raj has more than two decades of experience across software development, testing, test automation, framework engineering, Quality Engineering leadership and delivery. His career includes product organizations such as Yahoo and IBM and large-scale engineering environments.
He has worked on automation architecture, Selenium and Playwright-based testing, API and CI/CD engineering, framework modernization, debugging, test strategy and quality transformation.
For the AI-Ready SDET program, Raj brings that engineering background into practical AI-assisted Quality Engineering: requirements, test design, automation, debugging, agents, MCP, CI/CD and connected QA workflows.
The focus is not AI theory alone. It is learning how to apply AI responsibly to real testing and engineering work.
View LinkedIn ProfileLearn the practical basics needed to understand and solve the QA problem.
See the trainer apply the concept to a real QA engineering scenario.
Apply what you learned by solving a related practical problem yourself.
If you cannot solve a lab, the trainer will explain the approach, guide you through the problem and help you understand how to reach the solution.