AI Tester
AI Tester is an 8-week course covering both traditional software QA fundamentals — test plans, bug reporting, and UI/API automation with Playwright and Postman — and the emerging discipline of testing AI/LLM features, including evaluation datasets, prompt regression testing, and safety/bias testing, for QA professionals and career switchers entering AI-era testing.
Learn both traditional software QA fundamentals and the emerging discipline of testing AI/LLM-powered features — prompt regression testing, evaluation datasets, and safety/bias testing.
What you'll learn
Course details
Duration
8 weeks
Best for
QA professionals and career switchers who want to specialize in testing modern AI-powered applications
Enrollment isn't open for this course yet — check back soon or contact us.
Course Curriculum
A module-by-module breakdown of what you'll cover in AI Tester.
01Getting Started & Environment Setup
4 topicsWeek 1
- Installing Python and Playwright
- Installing Postman
- Creating a free Jira trial
- Getting access to Claude or ChatGPT
02Basic
5 topicsWeeks 2–3
- Test plans and test cases
- Manual and exploratory testing
- Bug reporting and triage
- Testing levels: unit, integration, end-to-end
- Building and maintaining golden datasets for AI test suites
03Intermediate
6 topicsWeek 4
- Playwright/Selenium UI automation
- API testing with Postman
- CI integration of automated tests
- Building a maintainable test suite
- Metamorphic testing: verifying behavior without a fixed expected output
- Load and latency testing for LLM-backed APIs
04Advanced
6 topicsWeek 5
- Why LLM output is non-deterministic
- Building evaluation datasets
- Prompt regression testing
- Scoring output quality consistently
- Testing retrieval quality in RAG pipelines
- Prompt fuzzing: exploratory testing for AI features
05Pro
5 topicsWeeks 6–7
- Adversarial testing for AI features
- Bias testing across demographic inputs
- Hallucination detection techniques
- A responsible AI testing checklist
- Test environment and dataset versioning for reproducible AI testing
06AI Pro
3 topicsWeek 8
- Using Claude, ChatGPT, and Perplexity to design test cases and debug test failures
- Verifying AI-suggested test cases actually test what they claim to
- Project: Use AI to generate test cases, then verify each one actually catches its bug
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
Real-Time, Industry-Based Projects
This is project-based learning modeled on real industry scenarios — you'll build portfolio-ready work as you go, not just watch lectures.
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Career & Placement Support
100% of students enrolled in AI Tester get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
What Your Certificates Look Like
Real, verifiable certificates with your name, AI Tester, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track. Earning a certificate is free. To view, download and share it, there's a one-time ₹100 release fee per certificate — the same for free-course, paid-course and internship certificates.
Course Completion Certificate
Data24ZoneCertificate of Completion
Illustrative recipient
Your Name Here
Example certificate for completion of
AI Tester
- Certificate No.
- D24-SAMPLE
- Mode
- Self-Paced
- Duration
- 8 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Internship Completion Certificate
Data24ZoneCertificate of Internship
Illustrative recipient
Your Name Here
Example certificate for completion of
AI Tester
- Certificate No.
- D24-SAMPLE
- Mode
- Internship
- Duration
- 8 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Frequently Asked Questions
What will I learn in the AI Tester course?
You'll learn: Software testing fundamentals: test plans, test cases, bug reporting; Test automation basics; Evaluation datasets and prompt regression testing for AI features; Safety, bias, and hallucination testing for LLM-powered products.
What tools and technologies does the AI Tester course cover?
This course covers: Selenium / Playwright, Postman, Jira, RAGAS, Claude / ChatGPT, Python, GitHub Actions, Perplexity.
Is the AI Tester course beginner-friendly?
Yes — this is a beginner-level course. It starts with a "Getting Started & Environment Setup" module covering tool installation before the main curriculum.
How long does the AI Tester course take to complete?
The course is designed to be completed in approximately 8 weeks, depending on your pace.
What enrollment options are available for AI Tester?
Project Training Track (₹1,499) — One defined learning project and 2 review sessions; no employment or stipend included. Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for AI Tester?
Yes — the Internship track means working through real projects with our team and earning a separate Internship Certificate.
Will I get a certificate after completing AI Tester?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once your internship projects are approved. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile. Earning it is free; releasing it to view, download and share is a one-time ₹100 fee per certificate.
What kind of projects will I build in AI Tester?
You'll work on real projects such as: Full test plan and test case suite for a sample web application; Automated UI test suite using Playwright; Prompt regression test suite catching output drift after a prompt change; Bias and hallucination audit report for an AI feature.
Is placement support included with AI Tester?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
