This is an ILT session on D&T Process covering below 4 Phases:
Phase 1: Testing Foundation and Uber QE ecosystem
Phase 2: D&T - Process Training
Phase 3: D&T - LOB wise Product Training
Phase 4: On-the-job Training Production
Phase 5: Production Movement and continuous monitoring
- Trainer: Rohith P
- Trainer: Christina A
- Trainer: Parvathi Sankari
This structured program combines manual testing fundamentals, test automation skills, and AI-driven quality engineering trends, offering a balanced mix of theory, hands-on practice, and project work.
Learning Objectives
- Understand the QE mindset and the evolution from QA to QE.
- Gain proficiency in manual and agile testing practices.
- Learn to design, execute, and manage test cases using tools like Jira, and Zephyr.
- Build expertise in test automation using Java, Selenium, TestNG, and REST Assured.
- Develop skills in API testing using Postman and automation scripting.
- Apply SQL for backend data validation.
- Explore performance testing concepts using JMeter.
- Leverage AI and GenAI for automated script generation, test data creation, and intelligent validation.
Accessibility Training program is designed to provide both foundational knowledge and practical testing skills. It includes structured self-paced learning, expert SME-led sessions, and a final assessment. Participants will gain proficiency in WCAG guidelines, ARIA usage, testing techniques, and reporting practices.
Focus
Area -
- Accessibility Basics & WCAG Overview
- WCAG Success Criteria + ARIA
- Manual & Automated Testing
- Reporting & Final Assessment
In this workshop you will learn about
•Fundamentals of Test Estimation
•How to estimate Software Testing Projects
•Best Practices to be followed during Test Estimation