QA Engineer→ AI Test Architect
Testing, automation, defect analysis, API testing and AI-assisted QA.
What's changing in this role
Agents now draft and maintain test suites from tickets. Teams need fewer people executing tests and more people directing, reviewing and designing quality.
What you carry over
- + Product and edge-case intuition
- + Risk thinking: what must never break
- + Release discipline
Who it is for
Built for people like you.
- Manual testers moving to automation
- Graduates with testing basics
- Developers moving into quality engineering
Skills covered
What you will practise.
- Test design
- Playwright automation
- Defect analysis
- API testing
- CI pipelines
- AI-assisted testing
- Testing AI features
30-day overview
Every day, planned.
Four weekly phases of daily problems, an assessment after each week, and mock interviews on Days 29–30. Open a week to see what is covered.
Week 1Days 1–7FoundationsThe new test stackWhere agentic testing sits in a modern pipeline, and which parts of the job are already automated.
- Day 1Test design from a user story — Write boundary, negative and edge cases for a checkout story.
- Day 2Writing a defect report that gets fixed — Turn a vague bug complaint into a reproducible report.
- Day 3Prompting for test cases — Use AI to draft test cases and correct what it gets wrong.
- Day 4First Playwright test — Automate a login flow with stable locators.
- Day 5API testing basics — Validate status codes, schemas and error responses for a REST API.
- Day 6What should an agent own? — Mark which tests in a suite should be automated, agent-generated or kept manual.
- Day 7Weekly assessment: Suite auditAudit a real regression suite and mark what an agent should own, with reasoning.Practical task + short written reasoning, scored against a rubric
Week 2Days 8–14Practical executionDirecting test agentsSpecs as prompts and acceptance criteria as contracts — generating the suites you used to hand-write.
- Day 8Acceptance criteria as contracts — Rewrite ambiguous criteria so an agent can generate tests from them.
- Day 9Generating a suite from a ticket — Generate Playwright tests from a raw ticket and fix the failures.
- Day 10Reviewing AI-written tests — Find flaky locators, missing assertions and false passes.
- Day 11Test data on demand — Generate realistic test data sets for edge cases.
- Day 12API contract tests — Automate contract checks for a payments API.
- Day 13Flaky test triage — Diagnose three flaky tests and fix the root cause.
- Day 14Weekly assessment: Ticket to suiteGenerate a test suite from a raw ticket and defend its coverage.Practical task + short written reasoning, scored against a rubric
Week 3Days 15–21Real-world problem solvingTesting AI systemsEvaluating non-deterministic output: eval sets, regressions in model behaviour and guardrail tests.
- Day 15Why AI features break normal tests — Identify what cannot be asserted with exact matches.
- Day 16Building an eval set — Create 30 test prompts with expected behaviour for a chatbot.
- Day 17Prompt injection checks — Try to break a support bot's instructions and document findings.
- Day 18Scoring with rubrics — Score model outputs consistently using a rubric.
- Day 19Regression on model changes — Compare two model versions and report what changed.
- Day 20Reporting AI quality to stakeholders — Summarise eval results for a product manager.
- Day 21Weekly assessment: AI feature evalBuild an eval set for a non-deterministic feature and report pass/fail criteria.Practical task + short written reasoning, scored against a rubric
Week 4Days 22–28Portfolio and interview readinessPipelines, gates and portfolioWiring agent-generated coverage into CI with review gates that hold up under audit.
- Day 22Tests in CI — Run your suite on every pull request with GitHub Actions.
- Day 23Quality gates — Define what blocks a release and why.
- Day 24Test strategy document — Write a one-page test strategy for a new feature.
- Day 25Portfolio: architecture — Document your agentic test architecture.
- Day 26Portfolio: walkthrough — Record a 5-minute walkthrough of your project.
- Day 27Interview drill: test design — Answer live test-design questions under time pressure.
- Day 28Weekly assessment: Panel reviewPresent your agentic test architecture to a review panel.Practical task + short written reasoning, scored against a rubric
Weekly assessment previews
Four checkpoints. Real feedback.
- After Day 7Suite auditAudit a real regression suite and mark what an agent should own, with reasoning.
- After Day 14Ticket to suiteGenerate a test suite from a raw ticket and defend its coverage.
- After Day 21AI feature evalBuild an eval set for a non-deterministic feature and report pass/fail criteria.
- After Day 28Panel reviewPresent your agentic test architecture to a review panel.
Expected outcomes
What you will be able to do.
- Design test cases from requirements
- Automate UI and API tests
- Review and correct AI-generated tests
- Test AI features with eval sets
- Explain a test strategy in an interview
Role-specific projects
Evidence you can show.
- Playwright + API test suite for a demo e-commerce app, running in CI
- Eval set and quality report for an AI chatbot feature
Interview preparation & mock interviews
Practise the questions QA Engineer interviews actually ask.
Preparation runs through Week 4. Mock interviews happen on Days 29 and 30, with written feedback.
- Test design techniques
- Automation framework design
- API testing
- Defect lifecycle
- Testing AI features
- CI/CD and quality gates
- Technical
How would you test a login page?
- Technical
How do you deal with flaky tests?
- Scenario
Release is tomorrow and 20 tests are failing. What do you do?
- Scenario
How would you test a chatbot whose answers change every time?
30-Day Job Readiness Program · QA Engineer
₹14,999
Cohort starts 25 September 2026. Cohort size is limited because every weekly assessment and mock interview gets individual feedback.