ignite soft tech

API Testing with Automation

Complete API Testing with Automation & AI – Course Curriculum

Covered Topics

API Testing with Automation

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About API Testing with Automation & AI

API Testing ensures that software applications communicate correctly by validating functionality, performance, security, and reliability at the service layer. It is faster and more reliable than UI automation, and essential for microservices, cloud applications, DevOps, and AI-based platforms.

Modern API testing uses tools like Postman, Rest Assured (Java), Playwright/Cypress request modules, Swagger, Newman, and CI/CD integrations.
With AI-powered automation, test cases can be auto-generated, optimized, and self-healed using intelligent recommendations, improving coverage and reducing manual effort.

Learn to design API automation frameworks, generate AI-driven test cases, perform functional & non-functional API validation, and integrate with DevOps tools like Jenkins, GitHub Actions, and Azure CI/CD.

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Who Should Join?

Pre-requisites

NO AUTOMATION experience required
BASIC KNOWLEDGE of software testing concepts
Java/JavaScript basics will be covered during API automation modules

Complete API Testing Curriculum – 25 Modules

Part 1 – Fundamentals of API & Web Services (Modules 1–5)

  • What is API & need for API Testing
  • Types of APIs (REST, SOAP, GraphQL)
  • API vs Web Services vs Microservices
  • HTTP Methods: GET, POST, PUT, DELETE, PATCH
  • JSON vs XML formats
  • Request-Response model
  • Headers, Body, Status codes
  • Authentication types: Basic, Token, OAuth2
  • Understanding Swagger / Postman Collections
  • Requirement Analysis
  • Test Case Design strategy
  • Test Scenarios vs API Flow Testing
  • DevOps API Testing process
  • Setup & Environment configuration
  • Collections & Variables
  • Assertions
  • Chaining API requests
    • Pre-request & test scripts
  • Runner execution
  • Environment-based execution
  • CI integration using Newman
  • Report generation

Part 2 – API Automation (Modules 6–12)

  • Why automate APIs?
  • API Automation strategy
  • Framework overview
  • Setup maven project
  • Request Specification & Response Validation
  • Parameterization & Data-Driven API Tests
  • Assertion & Schema Validators
  • Using request fixture (Playwright)
  • Cypress cy.request() approach
  • Chaining UI + API testing
  • API mocking & network interception
  • Jenkins API test pipeline
  • GitHub Actions execution
  • Dockerized API execution
  • Allure reports
  • HTML reports in automation
  • Generating execution dashboards
  • Token validation
  • Authorization errors
  • SQL injection prevention
  • Basic penetration testing concepts
  • Using JMeter/Postman Load Testing
  • KPI metrics: TPS/RPS
  • Spike load/stress testing approach

Part 3 – AI Integration in API Testing (Modules 13–16)

  • AI-based test case generation
  • Intelligent error prediction
  • Self-healing test frameworks
  • TestSigma
  • Tricentis Testim
  • Katalon AI testing
  • GitHub CoPilot & ChatGPT for test generation
  • Writing API scripts using AI tools
  • Automated SQL query validation via AI
  • AI-based defect prediction
  • Test coverage analysis
  • Identifying redundant tests
  • AI-based regression selection

Part 4 – Real-Time Project Implementation (Modules 17–21)

  • Build API test strategy
  • Create complete automation suite
  • Execute tests with Postman/Newman + CI
  • Response Validation
  • Database Validation using SQL
  • Schema Validation
  • Retry & resilience validation
  • Passing input across API calls
  • Multi-step end-to-end API workflows
  • Writing JIRA test stories
  • Using API testing in CI pipeline
  • Dev-QA collaboration
  • Real-time interview case-based discussions
  • API logs analysis questions

Part 5 – Career Readiness & Certification (Modules 22–25)

  • API + Automation-oriented resume
  • LinkedIn & job profile update
  • API Testing Questions
  • Automation + AI based questions
  • HR Strategy & Salary Negotiation
  • Candidate mini-project review
  • API + UI + SQL + AI Integration Project
  • Job References
  • Placement strategy
  • Soft skills for automation roles

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