How ISTQB 4.0 Aligns with Agile and DevOps Trends in Software Testing
Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
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Step into the future of testing! Master AI-driven QA, automate faster with Playwright, and execute performance testing using k6 & JMeter—all in just 2 days.
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The AI Enabled QA Engineer Program is a hands-on, lab-first training designed to help QA professionals transition into AI-driven testing. This program takes learners from zero AI knowledge to building complete, agentic QA pipelines using modern tools like Claude, Playwright, k6, and JMeter.
By the end of this program, participants will be able to:
This program is ideal for:
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Attend live interactive training sessions
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Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →
Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →
Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →
Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →
Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →
Understand the key principles of Agile, Scrum, and SAFe frameworks with real-world examples.
Read More →AI Enabled QA Engineer Training is a modern program that combines software testing practices with AI tools to help professionals design, automate, and optimize testing using AI-driven workflows.
You will learn how to use AI for test case generation, automation with Playwright, performance testing with k6 & JMeter, defect analysis, and building end-to-end QA pipelines.
Manual QA Engineers, Automation Test Engineers, QA Leads, Test Managers, freshers with basic testing knowledge, and professionals looking to upgrade to AI-powered QA roles.
No, prior AI or automation experience is not required. Basic knowledge of software testing concepts is enough to get started.
AI helps in generating test cases, identifying defects faster, improving test coverage, automating scripts, debugging flaky tests, and optimizing overall testing efficiency.
Yes, the course includes practical usage of AI tools like Claude for test design, automation, reporting, and building intelligent QA workflows.
Yes, this is a lab-first program with 85% hands-on learning, including real-world exercises, guided labs, and a capstone project.
This is a 2-day live, interactive training program with intensive hands-on sessions.
Yes, a certification will be provided upon successful participation in the training.
This course helps you become a future-ready QA Engineer by combining testing expertise with AI skills, increasing your demand in modern software development and QA teams.

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Demo date & time: 2026-04-04 9:00 am
Master ServiceNow with Real-Time Projects, Automation, and ITSM Skills
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Modern cross-browser automation testing
Demo date & time: 2026-04-11 9:00 am
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