Go from manual tester to AI-powered SDET in 8 weeks. Learn Selenium, Playwright, ChatGPT-based test generation, self-healing scripts & smart defect prediction used at Google, Amazon & Microsoft.
Limited seats available. Don’t miss out request a callback now!
Harness the power of artificial intelligence to write smarter tests, detect bugs faster, and ship quality software at scale.
Describe your test in plain English. Our AI generates complete test scripts with assertions, data setup, and cleanup code automatically.
AI-powered image comparison detects visual regressions across browsers and devices with pixel-perfect accuracy and intelligent diff analysis.
Machine learning models analyze code changes and run only relevant tests, reducing CI/CD time by up to 70% while maintaining coverage.
AI monitors test execution patterns and automatically flags flaky tests, performance degradation, and unusual failure rates in real-time.
AI is transforming software testing at unprecedented speed. Companies are replacing manual testing with AI-driven automation and they need skilled professionals NOW.
AI-powered test runners eliminate flaky tests and parallelise execution across thousands of test cases in minutes.
AI automatically detects and repairs broken selectors and test scripts when UI changes, reducing maintenance by 70%.
Generate thousands of test cases automatically using LLMs. Write test scripts from natural language descriptions.
Predict where bugs are likely to occur before release using ML models trained on historical defect patterns.
AI-skilled SDET professionals command 40–60% higher salaries than traditional manual testers in the current market.
AI dashboards give instant insights on test coverage, risk areas, flakiness trends and release quality scores.
Learn cutting-edge techniques that top tech companies use to maintain quality at scale.
Transform user stories and requirements directly into executable test code using GPT-4 and Claude. Learn prompt engineering techniques to generate comprehensive test suites covering happy paths, edge cases, and error scenarios.
Master AI-powered visual regression testing using machine learning models that understand UI layouts. Detect subtle visual bugs that traditional pixel comparison misses, including responsive design issues and accessibility problems.
Use AI to automatically generate realistic test data that covers boundary conditions, security vulnerabilities, and performance scenarios. Learn synthetic data generation techniques that respect privacy regulations while providing comprehensive coverage.
Train machine learning models to predict bug severity, identify duplicate issues, and recommend optimal fix sequences. Integrate with Jira and Azure DevOps for automated triage and assignment based on historical patterns.
8 weeks of hands-on training designed with input from QA leads at top tech companies.
AI/ML basics for QA, neural networks, transformers, types of testing, SDLC, Agile & DevOps integration
WebDriver, Grid, advanced locators, Page Object Model, AI-assisted element identification, smart waits
Modern browser automation, parallel execution, trace viewer, AI-assisted debugging, codegen with AI
GPT-4, Claude, Gemini APIs, prompt engineering for test cases, auto-generating BDD scenarios, test oracle creation
Healenium, Testim.io, Mabl, AI selector recovery, dynamic locators, reducing maintenance overhead
REST Assured, Postman AI, contract testing, schema validation, fuzzing with AI, intelligent API mocking
Applitools Eyes, Percy, computer vision models, WCAG compliance, automated accessibility audits
Defect prediction models, test case prioritization, flaky test detection, performance anomaly detection
Jenkins, GitHub Actions, Docker, Kubernetes, AI-powered test selection, intelligent build failure analysis
Real-world AI testing project, mock interviews, resume building, LinkedIn optimisation, portfolio creation
Turn Ambition into Achievement
Hands-on automation challenges simulating real enterprise QA pipelines.
AI-assisted hackathons with live mentorship from senior test architects.
Monthly live sessions with QA leads from top product companies.
Gain insider perspective on AI test strategy, tooling & career moves.
Dedicated mentor sessions to review your automation code & roadmap.
Build confidence tackling AI-driven testing challenges with expert backup.
Learn from practitioners who have shipped AI-powered QA at scale.
Customised coaching paths aligned to your pace and career target.
Speak with our admissions team
for details on fees & financing
Basic programming knowledge (Java or Python) is helpful but not mandatory. We have a pre-course crash module to bring beginners up to speed with programming fundamentals and testing concepts.
We offer live weekend batches (Sat–Sun) with interactive sessions, plus lifetime access to recordings. You also get access to our private Discord community for real-time doubt resolution.
The program is 8 weeks (weekends only). Fee details and EMI options are shared during the free demo class based on batch timing and payment plan.
Yes. Upon successful completion and capstone project submission, you receive an industry-recognised AI Automation Testing certificate that you can add to LinkedIn and your resume.
Absolutely. We provide resume reviews, mock interviews with industry experts, LinkedIn profile optimization, and direct referrals to our hiring partner network of 200+ companies including startups and MNCs.
Yes! Our weekend batches (Saturday and Sunday) are specifically designed for working professionals. All sessions are recorded and available 24/7 for your convenience.
You'll master GPT-4, Claude API, Testim.io, Healenium, Applitools Eyes, Percy, and learn to build custom AI models for test case generation, defect prediction, and test maintenance automation.
A laptop with 8GB RAM (16GB recommended), Windows/Mac/Linux, and stable internet connection is sufficient. We provide cloud-based lab environments for resource-intensive AI model training.
Join 10,000+ professionals. Your next role starts with one free demo class.
