Become a job-ready Automation Test Engineer with AI
Master manual and automation testing — Selenium, Playwright and API testing — then go further and let Gen AI and agentic AI generate test cases, self-heal locators and run autonomous test agents alongside you.
Still deciding? Talk to a mentor first.
A free 15-minute call to map your path to a job-ready Automation Test Engineer with AI — honest guidance, zero pressure.
- Personalised learning roadmap
- Full syllabus, batch dates & fees
- Scholarships & no-cost EMI options
- Placement & interview support
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Quality engineering, now
supercharged with AI
Every application that ships has to be tested — and teams are shipping faster than ever. That is why quality-engineering roles keep growing, and why the testers who stand out now are the ones who let AI write test cases, heal broken locators and run autonomous checks. Pair a full testing skill set with Gen AI and agentic AI, and you become the QA engineer teams are scrambling to find.
Automation and quality-engineering skills stay among the most in-demand roles across product and services companies.
Teams are racing to add AI to their testing — engineers who can actually build AI-assisted suites are scarce.
Portfolio projects — including AI-powered test builds — you can walk an interviewer through line by line.
Manual, automation, API, CI/CD and AI — the complete modern test-engineering skill set.
Built for four kinds
of people
Whatever you’re starting from, the course begins at fundamentals and takes you to job-ready — with the AI-assisted testing skills employers now expect.
Students & freshers
Final-year students and recent graduates who want a real skill and a portfolio before applying for QA roles.
Non-IT career switchers
Coming from a non-technical background. We start at zero — no coding or testing experience assumed.
Working professionals
Manual testers moving into automation, or support staff stepping into a QA role. Weekend batches available.
Self-taught testers
You know some scripting but need structure, real frameworks and someone to review your automation properly.
Four phases, twelve modules,
one AI-ready test engineer
Every module ends in hands-on work. Nothing here is theory-only.
Manual testing & basics
Start from testing fundamentals and finish able to write clear test cases and defect reports — then pick up just enough programming to automate.
Software testing & SDLC / STLC
Weeks 1–3Testing principles·SDLC & STLC·Test levels & types·Test case & scenario design·Defect life cycle·Bug reporting·Agile & QA process·Test management tools
Manual testing in practice
Weeks 3–5Functional testing·Integration & system testing·Regression & smoke·Boundary & equivalence·Exploratory testing·Test data·Traceability matrix·JIRA & bug tracking
Programming basics for automation (Java or Python)
Weeks 5–6Data types & operators·Control flow·Loops & arrays·Methods & functions·OOP basics·Collections·Exception handling·AI pair-programming (GitHub Copilot)
Selenium & frameworks
Automate the browser the way real teams do — then wrap it in a maintainable, data-driven framework.
Selenium WebDriver
Weeks 6–8WebDriver architecture·Locators & XPath·Element interactions·Waits & synchronisation·Windows, frames & alerts·Actions & JavaScript executor·Page Object Model·Cross-browser testing
TestNG & automation frameworks
Weeks 8–10TestNG annotations·Assertions·Data-driven testing·Parameterisation·Parallel execution·Maven & dependencies·Hybrid & POM frameworks·Extent & Allure reports
BDD with Cucumber
Weeks 10–12BDD concepts·Gherkin syntax·Feature files·Step definitions·Scenario outlines·Hooks & tags·Cucumber reports·Framework integration
Playwright, API & CI/CD
Add modern browser automation, service-level testing and the pipeline that runs it all on every commit.
Playwright automation
Weeks 12–14Playwright setup·Auto-waiting & locators·Browser contexts·Fixtures·Network interception·Visual & screenshot testing·Tracing & debugging·Parallel & headless runs
API testing — Postman & RestAssured
Weeks 14–16REST & HTTP basics·Postman collections·Environments & variables·Assertions & scripts·RestAssured·JSON & schema validation·Authentication & tokens·API automation suites
CI/CD — Jenkins, Git & Docker
Weeks 16–17Git & GitHub workflows·Branching & pull requests·Maven builds·Jenkins pipelines·Scheduled & triggered runs·Docker basics·Containerised test runs·Reports & notifications
Gen AI, agentic testing & career
Bring AI into your suites — generate tests, heal locators and run autonomous agents — then ship a capstone and get interview-ready.
AI foundations for testers
Weeks 17–19How LLMs work·Tokens & embeddings·Prompt engineering for QA·Calling LLM APIs·AI vs rules-based checks·Responsible & safe AI·Cost & latency basics·AI tooling for testing
AI-assisted & agentic test automation
Weeks 19–22LLM test-case generation·AI-generated test data·Self-healing locators·Autonomous test agents·RAG over requirements & docs·AI-assisted debugging·Flaky-test triage·Prompt-driven test flows
AI-augmented capstone & interview prep
Weeks 22–24AI-augmented framework build·End-to-end suite·CI/CD integration·Reporting dashboards·Portfolio & GitHub·Resume·Mock interviews·ISTQB-style question bank
Want the full module-by-module syllabus?
We’ll send the complete curriculum PDF along with batch dates and fee details.
You graduate with a
portfolio, not just notes
Four complete test builds — including AI-powered ones — created the way real teams work: version controlled, reviewed and run in a pipeline.
End-to-end automation framework
A maintainable, data-driven framework for a real web application — Page Object Model, TestNG, reporting and cross-browser runs.
AI test-case generator
A tool that reads requirements and generates test cases and test data with an LLM — prompt-engineered and grounded in your own docs.
API test suite with AI validation
An automated API suite in RestAssured and Postman, with AI helping validate responses, spot anomalies and suggest edge cases.
Capstone — AI-augmented framework
Scope, design and ship an AI-augmented automation framework with self-healing locators and an autonomous test agent, under mentor review.
The complete
testing stack
Manual & process
- SDLC / STLC
- Test case design
- Defect life cycle
- Agile QA
- JIRA
- Test management
Programming
- Java
- Python
- OOP
- Collections
- Exception handling
- JUnit
Web automation
- Selenium WebDriver
- Playwright
- TestNG
- Cucumber (BDD)
- Page Object Model
- Cross-browser
API & performance
- Postman
- RestAssured
- REST & HTTP
- JSON & schema validation
- Auth & tokens
- API automation
AI & Generative AI
- LLM APIs
- Prompt engineering
- AI test agents
- RAG
- Self-healing locators
- AI test-case generation
- Embeddings
- GitHub Copilot
DevOps & tools
- Git & GitHub
- Jenkins
- Maven
- Docker
- Allure & Extent reports
- IntelliJ / VS Code
Roles you can apply for
when you finish
The same skill set opens several doors — from core automation roles to the fast-growing AI-testing titles our learners now target.
QA Automation Engineer
Build and maintain automated suites across web and API using Selenium, Playwright and TestNG.
SDET
Software Development Engineer in Test — own frameworks, tooling and quality across the pipeline.
AI Test Engineer
Bring LLMs and agentic AI into testing — generated tests, self-healing suites and autonomous agents.
Automation Tester
Convert manual test cases into reliable automated scripts and keep regression suites green.
Test Automation Lead
Design framework strategy, mentor testers and drive quality across teams and releases.
Software Test Engineer
General QA roles where strong testing fundamentals are the entry requirement.
Resume & portfolio
We rewrite your resume around your projects and set up a GitHub of frameworks that reads well to a reviewer.
Interview drills
Manual, Selenium, Playwright, API and AI-testing question banks, practised until the answers are automatic.
Mock interviews
Technical and HR rounds with working QA engineers, followed by honest feedback.
Hiring introductions
Your profile shared with our hiring-partner network as suitable roles open up.
Pick a batch
that fits your week
EDIT: replace the dates and timings below with your actual batch schedule.
Weekday morning batch
Weekday evening batch
Weekend batch — for working professionals
What every enrolment includes
- Live instructor-led sessions with recordings for revision
- Small batches with dedicated doubt-clearing time
- Four portfolio projects — including AI-powered builds — with mentor code review
- Resume building and mock interview rounds
- Placement assistance that continues after your last class
- Course completion certificate
Everything you’re
probably wondering
EDIT the answers to match DSU’s actual policies before publishing.
No. We start with manual testing and the SDLC/STLC from first principles, then teach just enough Java or Python to automate. A large share of our testing learners come from non-IT backgrounds and have never written code before.
The program runs 5–6 months — that includes the AI-foundations, AI-assisted and agentic-testing modules. Weekday batches are two hours a day; weekend batches are three hours per day across Saturday and Sunday. Plan for a similar amount of practice time outside class — that’s where the learning consolidates.
EDIT: state your fee here, along with any instalment or EMI options. Being upfront about pricing on this page will improve enquiry quality — people who can’t find a price often assume the worst and leave.
We provide placement assistance — resume preparation, mock interviews and introductions to our hiring-partner network — and that support continues after your final class. We don’t promise a guaranteed job, because no honest training provider can. What we can promise is that you’ll finish interview-ready with real automation frameworks to show. EDIT this to match your policy exactly.
Yes. Book a free demo session and a one-to-one counselling call. You’ll meet the trainer, see how a session runs and get the full syllabus before committing to anything.
Every class is recorded and available to you, so you can catch up on your own schedule. You can also raise anything unclear in the dedicated doubt-clearing sessions.
No. The AI modules start from the basics — how LLMs work, prompt engineering for testing, and the tools to call them. There’s no heavy maths. The focus is on using Gen AI and agentic AI inside real test suites — generating test cases, self-healing locators, running autonomous test agents and RAG over your own documents — not on AI research. You get both the full testing skills employers hire for and the AI edge that sets you apart.
Become an AI-ready test engineer
Book a free counselling session. We’ll walk you through the syllabus, batch options and fees — and tell you honestly whether this course is right for you.