Is Uncodemy Good for Learning Automation Testing 2026?

Automation Testing — curriculum overview:

Phase 1: Fundamentals
- Testing basics + STLC
- Manual testing
- Bug lifecycle
- Agile + Scrum

Phase 2: Programming
- Java basics
- OOP concepts
- Collections
- Exception handling

Phase 3: Automation Core
- Selenium WebDriver
- Locators (XPath, CSS)
- Waits (implicit, explicit, fluent)
- Actions, alerts, iframes
- TestNG / JUnit

Phase 4: Framework + DevOps
- POM design
- Data-driven testing
- Hybrid frameworks
- Git + GitHub
- Jenkins / GitHub Actions
- Reports (Extent, Allure)

Phase 5: Capstone + Interview prep
- End-to-end automation project
- Mock interviews
- Resume rebuild

What's covered in detail:

Selenium WebDriver:
- Element location strategies
- Handling dynamic elements
- Waits (avoiding flaky tests)
- Cross-browser testing

Framework design:
- Page Object Model
- Data-driven testing (Excel / JSON)
- Hybrid framework (POM + data-driven)
- Logging + reporting

CI/CD:
- Git basics
- Jenkins pipelines
- GitHub Actions
- Scheduled test runs

Extras:
- API testing basics (Postman, Rest Assured)
- Mobile automation intro (Appium)
- Behaviour-driven development (Cucumber)

What good automation trainers do:

□ Explain WHY, not just HOW
□ Live-code during sessions
□ Debug together — not just
  show the right answer
□ Share real project examples
□ Give clear feedback on
  student code
□ Update content for new tools
  (Playwright, Cypress, etc.)
□ Make time for doubts

Uncodemy uses instructors with
industry QA experience. Multiple
student reviews praise trainer
quality (though most reviews
are for Data Science tracks,
not just QA).

Red flags in teaching quality:

□ Pre-recorded videos only —
  no live doubt clearing
□ Trainers who read from slides
□ No code reviews on student work
□ No updated content on new tools
□ "We'll cover it later" on key
  topics
□ Batch sizes > 30
□ No access to trainer between
  classes

If a demo class shows these signs,
walk away — regardless of fee.

Project 1 — Selenium framework from scratch

What you should build:
□ POM (Page Object Model) framework
□ Data-driven testing with Excel/JSON
□ ExtentReports integration
□ Screenshots on failure
□ TestNG test suite
□ Run on Chrome + Firefox (cross-browser)
□ Integrated with GitHub Actions

Skills demonstrated:
- Framework design
- CI/CD
- Cross-browser automation
- Reporting + logging

Project 2 — API testing suite
□ Postman or Rest Assured
□ Authentication + data validation
□ CI/CD integration
□ Reports

Portfolio checklist (per project):

□ GitHub repo (well-organised)
□ Clear README (architecture + setup)
□ Folder structure (pages, tests, utils)
□ Config files (for multiple environments)
□ CI/CD configuration
□ Sample reports (screenshots)
□ Short write-up of decisions
□ What you'd improve next

Two strong automation projects
beat five weak ones.
Every time.

Lab tracker (per student):

Date: _________

□ Practised Selenium locators (____ min)
□ Wrote test cases (_____ count)
□ Debugged failing tests
□ Pushed code to GitHub
□ Reviewed code / reports

Today's learnings:
1. 
2. 
3. 

Tomorrow's target:
1. 
2. 

Real placement support includes:

□ Resume rebuild
  - tailored for QA automation roles
  - with project highlights

□ LinkedIn optimisation
  - clear positioning
  - project showcase

□ Mock interviews
  - technical (Selenium, Java)
  - behavioural
  - written feedback

□ Hiring partner referrals
  - 14+ hiring partners (Uncodemy)
  - mostly NCR-based

□ Portfolio review
  - GitHub projects reviewed
  - README feedback

□ Post-course support
  - 6+ months guidance
  - job search help

Uncodemy reviews (via AmbitionBox,
Glassdoor) mention HR/placement
support as a positive — but
recommend verifying with recent
students.

Questions to ask before enrolling:

1. How many QA students from the
   last batch got placed?
2. Which companies hired them?
3. Can I speak to a recent placed
   student?
4. What's the support window?
5. Do you charge for placement?
   (If yes, walk away.)

Honest answers build trust.
Vague answers are a red flag.

Uncodemy's public reviews are mostly
positive on placement support (though
many reviews focus on Data Science
tracks). Verify QA-specific outcomes
with direct conversations.