Software testing course in Chennai: practise finding risk and explaining defects.
Start by understanding a requirement and the customer risk. Practise manual test design and defect reporting, then use programming, browser automation, API checks and SQL when the task needs them. SPOTHUB’s learning path connects these skills through a simulated project, review and explanation of your decisions. Confirm classroom or online batch availability before enrolling.
New to testing? Try a manual test before writing code
Use our fictional checkout with a notebook priced at INR 100. The accepted quantity is a whole number from 1 to 5, and a customer name is required. No payment or order is sent or saved.
- Open the demo, enter a fictional name and quantity 1. Submit and record the INR 100 confirmation.
- Reset the demo. Repeat with quantity 5; expect INR 500.
- Reset between checks. With a fictional name, try quantities 0, 6 and 1.5. Submit each time; expect a quantity error and no confirmation.
- Reset, leave the name blank and submit quantity 1. Expect a customer-name error and no confirmation.
Keep your evidence: record input, expected result, actual result and pass/fail for each case. Report a defect only if behaviour differs from the requirement; do not invent a failure when a check passes.
Explain your choice: why check both valid limits and values outside them? What happens if the name contains only spaces? Try that separately.
Open the safe practice checkout →From manual testing to automation: what should I learn first?
- Understand the system: describe the browser, API and database responsibilities. The practice demo covers the browser only.
- Design the checks: explain the requirement, starting data, expected result and customer risk before selecting a tool.
- Learn code for the task: use variables for test data, conditions to reason about validation and functions to organise repeated work. In the Playwright path, practise JavaScript or TypeScript and async/await.
- Automate one repeatable check: identify the field, perform the action and assert the expected result. Keep exploratory investigation alongside automation.
- Review and explain: run the test, inspect a deliberate failure, improve it and state what remains untested.
This is a practice sequence, not a hiring assessment or a fixed-duration promise. If you cannot explain the expected result yet, return to the requirement before adding a framework.
Freshers, non-IT graduates and manual testers who want to understand quality engineering and move toward automation.
Classroom options are discussed for Moulivakkam and Selaiyur, Chennai. Online delivery is also available; confirm the exact venue before visiting.
Before you enrol
Duration: Ask an advisor for the current batch duration and weekly schedule.
Fees: Fees depend on the selected format, batch and learning scope. Request the written fee and syllabus before enrolling.
Mentor: Sessions are led by practitioners or mentors assigned to the batch. Ask for the current trainer profile and teaching schedule before enrolment.
Learn the connected skills.
The final syllabus and prerequisites are confirmed for the selected batch before enrollment.
- Test design, risk and defect reporting
- JavaScript and TypeScript foundations
- Playwright browser automation
- API testing, SQL and test data
- Git, CI reports and failure investigation
- AI-assisted test design with human review
Illustrative learning exercise · fictional application
Payment failed. Should an order exist?
Practise turning a checkout requirement into test cases and an actionable defect report.
See the task, review and improved result
01 / Receive the task
In this fictional shop, a declined payment must show an error, preserve the cart and leave the order unconfirmed. Use simulated payment responses and test data.
02 / Review a first attempt
First attempt: “Payment is broken.” The report does not identify the input, expected behaviour or what actually happened.
Example reviewer feedback: “Which payment response did you simulate? Include repeatable steps, expected versus actual results and evidence.”
03 / Improve the work
Revised report: with one item in the cart and a simulated declined payment, checkout displays “Order confirmed”. Expected: payment error, retained cart and no confirmed order. Attach the test environment, reproduction steps and a screenshot or trace; inspect order state separately.
04 / Explain your decision
Explain the customer risk, why the original report was difficult to investigate, and which other payment outcomes you would test next.
Work to show: a small test-case table, a reproducible defect report and a retest note.
Try the review yourself
Sample evidence: the payment simulator returns “declined”, the page shows “Order confirmed”, the cart is empty, and the test order record is marked “confirmed”. Compare each observation with the requirement above.
Your output: write three expected-versus-actual checks, a defect title, repeatable steps and one question you would ask the developer. No live payment or customer data is needed.
Compare with the review checklist
- The customer should see a payment error; the confirmation message is incorrect.
- The cart should retain its items; an empty cart violates this exercise’s requirement.
- The order should remain unconfirmed; check system state separately from the screen.
- A useful defect title is “Declined payment confirms order and clears cart”. Include the simulated response and all three observations.
- Ask how a retry is handled. After a fix, repeat the declined-payment case and separately check a successful-payment case.
This demonstrates a learning workflow, not completed student work or a client result. A simulated payment response does not verify a real payment provider. Batch exercises and tools are confirmed with the trainer.
Explore free project practice ideas →Start with the problem. Then choose the tool.
New to IT? Start by understanding how a browser, API and database work together. Practise reading a requirement and checking its behaviour manually before learning code for a specific testing task.
What practical work should I be able to show?
- A small test-case table with inputs, expected results, actual results and customer risks.
- A reproducible defect report based on sample evidence, followed by a retest note.
- A short write-up explaining your decisions, feedback applied and what remains untested.
These are practice targets, not existing student results. The public examples use fictional applications; completing them does not count as employment or client experience.
How do I judge the review and support?
Use the linked example as a review standard: submit a first attempt, identify a missing check, improve the work and explain the change. Before enrolling, ask who reviews your work, how often, how questions are answered and what happens when you miss a session. Confirm the arrangements for your chosen batch in writing.
Compare a first attempt with reviewer feedback →Training and career support do not guarantee employment. Read the career-support scope.
Have questions about the current batch?
Ask for the exact address or online schedule, fee, duration, syllabus and trainer details before enrolling. Confirm prerequisites, weekly practice time, feedback frequency, support hours and any extra tool costs in writing.
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