Module 01 · Classes 1–5
QA Foundations & Business Thinking
Build the QA mindset employers pay premium for.
Master SDLC, STLC, Agile/Scrum, and defect lifecycle management. Learn how QA protects revenue and product quality. Build AI-assisted test plans, acceptance criteria, and a business feature QA documentation pack from a real product requirement.
Core Activities
- SDLC, STLC, Agile/Scrum & Defect Lifecycle
- QA Career Pathways: QA Analyst, Automation Engineer, SDET
- Test Planning & Acceptance Criteria Writing
-
AI-Assisted Test Case Generation & Risk-Based Testing
- Business Feature QA Documentation Pack Deliverable
Labs & Tools
- Jira — Defect Tracking & Agile Boards
- Claude / ChatGPT — Test Case Generation
- Confluence — Test Plan Documentation
- BVA & Equivalence Partitioning Lab
SDLCSTLCAgile/ScrumJiraDefect LifecycleTest Planning
Module 02 · Classes 6–10
Python for QA Automation
Write reusable scripts that power your entire test suite.
Write reusable Python validation scripts, data handlers, and test utilities. Learn to read, debug, and improve AI-generated test code. Build your first real code portfolio piece — a QA Python Utilities Toolkit.
Core Activities
- Python Variables, Functions, Loops & File I/O
- Writing Reusable Validation Functions & Helpers
- Test Data Handling & Logging Utilities
- Reading & Debugging AI-Generated Code
- Building the QA Python Utilities Toolkit
Labs & Tools
- Python 3 + VS Code / PyCharm
- pytest — Unit Testing Framework
- Claude / ChatGPT — Script Generation & Debugging
- GitHub — Version Control for Test Code
PythonpytestVS CodeGitHubTest DataLogging
Module 03 · Classes 11–15
Manual & AI-Driven Exploratory Testing
Find what automated tests miss. Ship software with confidence.
Apply BVA, Equivalence Partitioning, and risk-based testing techniques supercharged with AI. Conduct session-based exploratory testing, write exploratory charters, and use AI to surface edge cases and hidden defects. Deliver a Manual & AI-Driven Test Report.
Core Activities
- BVA, Equivalence Partitioning & Boundary Analysis
- Risk-Based Testing & Priority Scoring
- Session-Based Exploratory Testing Techniques
- AI-Assisted Edge Case & Anomaly Detection
- Exploratory Charter Writing & Test Reporting
Labs & Tools
- Jira — Bug Reporting & Traceability Matrix
- Claude / ChatGPT — Exploratory Charter Generation
- TestRail / Zephyr — Test Case Management
- Browser DevTools — UI Inspection
BVAExploratory TestingJiraTestRailRisk-Based TestingAI Test GenDefect Reports
Module 04 · Classes 16–22
Web Automation with Playwright & Selenium
The core of the program. Build full automation suites that actually run in CI/CD.
Build full automation suites using Page Object Model with Playwright and Selenium. Use AI to generate test scripts and Playwright MCP for prompt-driven browser workflows. Automate login, search, and checkout flows. Deliver an AI-Enhanced Web Automation Suite.
Core Activities
- Playwright Setup, Locators & Page Object Model
- Selenium WebDriver — Cross-Browser Automation
- AI-Generated Test Scripts with Claude / ChatGPT
- Playwright MCP — Prompt-Driven Browser Automation
- Login, Search & Checkout Flow Automation
- Test Fixtures, Data-Driven Testing & Reporters
- AI-Enhanced Web Automation Suite Deliverable
Labs & Tools
- Playwright (Latest) + VS Code
- Selenium WebDriver + ChromeDriver
- Claude / ChatGPT — Script Generation
- Playwright MCP — AI-Driven Browser Automation
- Demo e-commerce apps for live test labs
PlaywrightSeleniumPage Object ModelPlaywright MCPData-Driven TestingAI ScriptsCross-BrowserTest Fixtures
Module 05 · Classes 23–27
API Testing & Validation
Test what users can't see — the APIs that power every modern app.
Test REST APIs end-to-end with Postman — status codes, JSON payloads, auth tokens, and business rule validation. Use AI to generate edge-case payloads. Deliver a Business API Validation Suite covering positive flows, negative cases, and edge conditions.
Core Activities
- REST API Fundamentals: Methods, Status Codes, JSON
- Postman Collections, Environments & Variables
- Auth Tokens, API Keys & OAuth Testing
- Negative Testing & Business Rule Validation
- AI-Generated Edge-Case Payloads & API Test Suite
Labs & Tools
- Postman — Collections, Tests & Runners
- REST APIs — Live practice endpoints
- Claude / ChatGPT — AI Edge-Case Payload Gen
- Newman — Postman CLI for automation
PostmanREST APIsJSONOAuthStatus CodesNewmanAI Payloads
Module 06 · Classes 28–33
CI/CD & DevOps for QA
Stop running tests manually. Wire them into pipelines that run on every push.
Set up automated test pipelines in GitHub Actions and Jenkins. Use Git for collaboration. Run Docker for cloud test execution. Deliver a QA Pipeline Optimization Case Study with source control, automated execution, reporting, and AI-assisted failure analysis.
Core Activities
- Git Branching, Merging & Pull Requests for QA
- GitHub Actions — Automated Test Pipeline Setup
- Jenkins — CI/CD Pipeline Integration
- Docker — Containerized Test Execution
- AI-Assisted Failure Analysis & Pipeline Reports
Labs & Tools
- GitHub Actions — YAML Workflows
- Jenkins — Pipeline Configuration
- Docker & Docker Compose
- Claude / ChatGPT — Failure Root Cause Analysis
GitHub ActionsJenkinsDockerGitCI/CD PipelinesAI Failure Analysis
Module 07 · Classes 34–37
Performance & Security Testing
Find what functional tests never catch — performance cliffs and security gaps.
Run load, stress, and spike tests with JMeter against real endpoints. Apply OWASP Top 10 awareness to QA workflows. Use AI to analyze performance trends and summarize risk. Deliver a Performance & Security Risk Review with findings, risk exposure, and recommended actions.
Core Activities
- JMeter — Load, Stress & Spike Test Configuration
- Performance Baseline & Threshold Setting
- OWASP Top 10 Awareness for QA Engineers
- AI Trend Analysis & Risk Summarization
- Performance & Security Risk Review Deliverable
Labs & Tools
- Apache JMeter — Load Testing Tool
- BlazeMeter / Gatling — Supplementary
- OWASP ZAP — Baseline Security Scans
- Claude / ChatGPT — AI Risk Summarization
JMeterLoad TestingStress TestingOWASP Top 10Performance BaselineAI Risk Analysis
Module 08 · Classes 38–42
AI & ML Systems Testing
Test the systems almost no QA program teaches — AI products, chatbots, and LLMs.
Test chatbots, recommendation systems, and LLM outputs. Evaluate for bias, fairness, and safety using LLM-as-judge workflows. Build an AI Product Quality Evaluation Framework — prompts, scoring criteria, bias categories, and a structured audit report.
Core Activities
- Testing AI Chatbots & Recommendation Systems
- LLM Output Evaluation: Accuracy, Bias & Fairness
- LLM-as-Judge Evaluation Workflows
- AI Product Quality Evaluation Framework Deliverable
Labs & Tools
- Claude (Anthropic) — LLM Evaluation
- ChatGPT (OpenAI) — AI Output Testing
- Garak — LLM Vulnerability Scanning
LLM TestingAI EvaluationBias TestingLLM-as-JudgeClaudeChatGPT
Capstone · Classes 43–45
Capstone Portfolio Project
Ship a portfolio-ready project that impresses hiring managers.
Choose your final project: E-Commerce AI Automation Suite, Chatbot Quality Auditor, or Full Business QA Strategy Case Study. Build a portfolio-ready demo that showcases the full QA Engineering skillset. Present your capstone to instructors and peers.
Core Activities
- Choose Capstone Track: E-Commerce, Chatbot QA, or Strategy
- End-to-End Automation Suite Build
- AI Integration & Portfolio Documentation
- Capstone Presentation & Peer Review
- GitHub Portfolio Finalization
Labs & Tools
- Playwright / Selenium — Automation Suite
- Postman — API Test Collection
- GitHub — Portfolio Hosting
Capstone ProjectPortfolioGitHubPresentationE-Commerce QAChatbot Testing
CareerOps · Classes 46–48
Career Engineering & QA Job Readiness
Turn 48 classes of hands-on work into a signed QA Engineering offer.
Build an ATS-optimised LinkedIn profile with keyword strategy and skills endorsements. Create a GitHub portfolio with automation suites, API test packs, and AI QA projects. Draft a professional QA/SDET CV. Execute a high-volume job search across LinkedIn, Indeed, and Dice — with mock technical interviews and USA salary negotiation coaching.
Core Activities
- LinkedIn ATS Keyword Strategy & GitHub Portfolio Build
- Professional QA / SDET CV & ATS Scoring
- GitHub Portfolio as Employer-Facing Credential
- Mock Technical Interviews: Automation, API & Behavioral
- USA QA Salary Negotiation with Benchmark Data
Labs & Tools
- LinkedIn · GitHub · Indeed · Dice
- Jobscan / Teal / Resume Worded — ATS Optimisation
- Glassdoor · QA job boards
- Claude / ChatGPT — Resume Tailoring & Mock Interviews
LinkedInGitHub PortfolioQA ResumeATS OptimisationMock InterviewsSalary Negotiation