This course bridges the gap between classic testing tools and the new AI-powered era. You’ll learn how to test, debug, and deploy APIs using Postman, DevTools, curl, HAR files, and CI/CD pipelines, and how to enhance every step with AI-powered workflows and smart automation.
You’ll start with the fundamentals, then move quickly into hands-on, real-world projects:
- Analyzing real API traffic with DevTools, curl, and HAR
- Building API collections in Postman and running them with Newman
- Automating pipelines in GitHub Actions for continuous testing and detailed reporting
- Integrating AI to generate test cases, analyze failures, and improve visibility through dynamic, real-time reports
Every section is practical and designed to mirror a professional QA environment. You’ll build, break, and fix real examples, developing not just technical mastery, but the mindset of a modern engineer who creates systems that evolve intelligently.
Who this course is for:
- Automation and QA engineers ready to embrace the AI age
- Developers who want to build smarter, faster API pipelines
- Anyone ready to move from theory to measurable impact
By the end: You’ll have a complete automation setup, a deep understanding of modern API testing, and the ability to build pipelines that adapt, scale, and report automatically.
This course gives you the tools, confidence, and clarity to automate smarter — and lead the next wave of intelligent testing.
