AI Agents for QA: the Landscape
Where agents fit in a modern automation workflow:
- What an AI test agent can and cannot do today
- Agents, tools and MCP: how they reach your systems
- Setting up a safe, reviewable agent workflow
Training program
Put AI agents to work across your test pipeline: migrate suites between Selenium and Playwright, pull tickets from Jira or GitHub, write and run the test cases, and update the ticket status, closing the loop end to end.
Who this is for
QA engineers, SDETs and automation testers who know the fundamentals and want to move faster: migrating frameworks, generating tests from tickets, and wiring agents into the tools their team already uses.
What this course offers
Where agents fit in a modern automation workflow:
Move suites in either direction with an agent doing the heavy lifting.
Turn a ticket into runnable tests, then keep a human in the loop.
The end-to-end payoff: the ticket updates itself.
FAQ
It’s for QA engineers, SDETs and automation testers who already know the fundamentals and want to work faster with AI agents.
You should be comfortable with test-automation fundamentals. The course then focuses on putting AI agents to work across your pipeline, with a human in the loop at every step.
You’ll migrate suites between Selenium and Playwright, pull tickets from Jira or GitHub, generate and run test cases, triage failures with self-healing locators, and update ticket status, closing the loop end to end.
Let’s talk
Ask about the next cohort, schedule and pricing, and we’ll walk you through it.