Learn how the web works under the hood.
โ HTML5, CSS3, JavaScript โ structure, styling, and interactivity
โ Browser internals โ DOM, rendering, cookies, storage, events
โ HTTP/HTTPS โ request methods, status codes, headers
โ Client-Server Architecture โ request/response flow
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Web Debugging Tools โ Chrome DevTools, Network tab
Understand and test the presentation layer.
โค JavaScript (ES6+)
โค Modern Frameworks: React, Angular, or Vue
โค Component Testing: Jest, React Testing Library
โค UI Automation: Selenium, Cypress, Playwright
โค Accessibility Testing: axe-core, Lighthouse
๐ฆ Bonus: Responsive design, cross-browser issues, CSS frameworks (Bootstrap, Tailwind)
The engine behind web applications.
โค Java / Spring Boot โ APIs, REST controllers, services
โค Node.js / Express โ lightweight JavaScript-based server apps
โค Python / Flask / FastAPI โ quick, test-friendly APIs
โค API Testing: Postman, Rest Assured, Karate
โค Authentication: JWT, OAuth2
๐ Focus for Testers: Service-layer testing, stubbing/mocking, contract testing
Master both relational and non-relational databases.
โค Relational (SQL)
MySQL / PostgreSQL / Oracle
CRUD operations, joins, indexing
Data validation and integrity
โค NoSQL
MongoDB, Redis, DynamoDB
Document vs Key-Value models
When to use NoSQL over SQL
๐ Validation in Tests: JDBC, ORM, direct DB assertions
API communication and testing fundamentals.
โ REST: JSON, endpoints, verbs, idempotency
โ SOAP: XML payloads, WSDL, service operations
โ Tools: Postman (manual), Rest Assured (Java automation), SoapUI (SOAP/REST hybrid)
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Contract Testing: OpenAPI/Swagger, Pact
Modern enterprise systems run on microservices.
โค Understand service independence, bounded contexts
โค API Gateway vs direct service calls
โค Message queues: Kafka, RabbitMQ
โค Testing strategies:
Integration vs Contract testing
Mocking services with WireMock
Service virtualization
๐งช Test Focus: Inter-service data flow, resilience testing, chaos testing
Next-gen testing and engineering skills.
โค AI Agents in Testing:
Self-healing locators
Gherkin generation (test case suggestion)
AI-based visual testing
โค Tools: Testim, Mabl, Applitools, ChatGPT-style bots
โค MBT (Model-Based Testing):
Graph models
Test case generation from business flows
๐ Learning Goal: Augment traditional automation with AI-driven insight and test optimization.
The backbone of automation, delivery, and quality at scale.
โ
CI/CD Pipelines
Jenkins, GitHub Actions, GitLab CI, Azure DevOps
Set up pipelines to build, test, and deploy automatically
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Infrastructure as Code (IaC)
Docker โ containerized test environments
Kubernetes โ orchestrate test environments for microservices
Terraform โ provisioning cloud infrastructure for test environments
โ
Artifact & Test Result Management
Allure, TestNG/JUnit reports, publishing test artifacts
Storing build/test artifacts in Nexus, Artifactory, or GitHub Packages
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Monitoring & Feedback Loops
Slack/email/test dashboards for real-time alerts
Integration with tools like Prometheus, Grafana, ELK Stack for post-deployment QA observability
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Version Control & Branching Strategy
Git workflows (feature branches, PR checks, merge gates)
Pre-commit hooks and automated test triggers
Run tests as part of every commit (shift-left)
Test in containers, simulate prod environments
Automate environment provisioning for integration tests
Maintain fast feedback cycles with parallelized test execution
โ Start with Web Fundamentals (HTML, JS, HTTP)
๐จ Learn Frontend + UI Testing
โ๏ธ Explore Back-end Programming + API Testing
๐๏ธ Add Database and Validation Layer Knowledge
๐ Learn API Design and Testing (REST/SOAP)
๐งฑ Understand Microservices & Distributed Systems
๐ฅ๏ธ Gain Exposure to Deployment and CI/CD Infrastructure
๐ค Advance into AI Agents and Intelligent Testing