Deliver Faster
Use AI to reduce repetitive work and speed up common QA engineering activities.
Live, hands-on AI training that helps QA professionals build practical skills they can apply at work.
AI is changing how requirements are analyzed, tests are designed, automation is built, failures are investigated and releases are delivered. Teams are increasingly expected to use AI to deliver faster and improve productivity.
Use AI to reduce repetitive work and speed up common QA engineering activities.
Apply AI to requirements, test design, automation, debugging and engineering workflows.
As QA roles and expectations evolve, practical AI skills are becoming increasingly important.
The goal is not just to learn prompts. Build practical skills that help you work faster, automate more intelligently and use AI effectively in day-to-day Quality Engineering.
Apply AI to requirements, test design, test data, reporting and coverage analysis.
Work with Playwright, Selenium, APIs, databases, debugging and CI/CD.
Use agents, MCP, n8n and RAG to connect AI with real engineering work.
Live instruction, trainer demonstrations and Hands-On Labs help you turn concepts into practical skills you can apply at work.
Learn 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.
Learn how to use AI in real QA engineering through a live, hands-on program built to increase QE productivity. Learn by doing 50 Hands-On Labs across AI-assisted testing, automation, agents, MCP, APIs, databases, CI/CD, n8n and RAG.
Designed for QA Engineers, Automation Engineers, SDETs, QA Leads and Test Architects.
Focus on the QA and engineering problems you need to solve—not AI theory alone.
Build workflows and solutions you can adapt to your own projects.
Here are some of the real tasks participants will work on during the program.
Watch an agent retrieve a Jira requirement through Atlassian MCP, generate test cases and add them back to Jira.
Ramanathan Rajamanthiram (Raj) brings 20+ years across software development, testing, automation architecture, Quality Engineering and delivery—including product organizations such as Yahoo and IBM.
Meet the TrainerSimple guides that help QA professionals build strong AI foundations.
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