Introduction
This practical course teaches API testing and automation using real tools: Postman, curl, HAR files, and browser DevTools. It is for QA engineers, automation testers, developers, and curious tech professionals. You will learn how to capture API traffic, build Postman collections, run tests with Newman, and automate pipelines with GitHub Actions. The course also shows how to manage environments, secrets, publish reports, and use AI to speed up debugging and test generation.
Quick Facts
- Last updated: 2026-02-16
What you’ll learn
- Capture and analyse real API traffic using DevTools, curl, and HAR files.
- Create maintainable Postman collections and structure test suites for reuse.
- Execute collections with Newman and integrate results into CI pipelines.
- Automate continuous testing with GitHub Actions and publish reports to GitHub Pages.
- Manage environments, variables, and secrets for flexible automation setups.
- Use AI workflows to generate test cases, diagnose failures, and enhance reports.
- Design scalable automation frameworks suitable for professional QA environments.
Who this is for
- QA engineers and testers moving from manual to automated API testing.
- Automation engineers who want modern API workflows with Postman and CI/CD.
- Developers integrating automated API tests into software pipelines.
- Tech professionals curious about AI-augmented testing and reporting.
Prerequisites
- Basic understanding of software testing or QA concepts is helpful, but not required.
- No prior experience with Postman, curl, or CI/CD tools is needed.
- A computer with internet access and permission to install software.
- Curiosity to learn practical, real-world automation techniques.
Course overview
This hands-on course bridges classic testing tools and modern AI-powered workflows. You begin by learning how to capture and inspect API traffic using browser DevTools, curl commands, and HAR files. Next, you convert that traffic into reliable Postman collections and add assertions that validate API behaviour.
The course then shows how to run collections with Newman and place them inside GitHub Actions for continuous testing. You will learn to manage environments, variables, and secrets so tests can run across teams and stages. Reporting is practical: generate detailed test reports and publish them to GitHub Pages so stakeholders can view results.
Along the way, you’ll apply AI-assisted workflows to create test cases, analyse failures, and speed debugging. Each lesson focuses on real examples, with projects that mimic a professional QA environment so you build both skills and the mindset of a modern automation engineer.
Syllabus highlights
- Traffic analysis: DevTools, curl, and HAR capture
- Postman: collection design, tests, and environments
- Newman: CLI execution and result formats
- CI/CD: GitHub Actions pipelines for automated testing
- Reporting: generate and publish reports with GitHub Pages
- AI workflows: test generation, failure analysis, and insights
How to enroll / claim free access
- Visit the course page on the platform hosting the content.
- Review the course overview, syllabus highlights, and prerequisites.
- Check the price at checkout, free status can change.
- If a coupon or free option is available, apply it and follow the enrollment steps.
- Start the course and follow the hands-on projects from the first module.
Free status can change anytime. Please verify the price on the enrollment/checkout page.
Tips to complete faster
- Follow a 5-day plan: day 1 capture traffic and learn curl/DevTools; day 2 build Postman collections; day 3 write tests and manage environments; day 4 run Newman and create a GitHub Actions workflow; day 5 publish reports and try AI helpers.
- Work with small, repeatable examples so you can iterate quickly.
- Use a version-controlled repository for collections and scripts from day one.
- Run CI locally with act or the GitHub Actions runner to debug faster.
- Reuse environment templates and secret placeholders to save setup time.
FAQ
- Is it really free? Free status can change; check the checkout page for current pricing.
- Will I get a certificate? Not specified.
- How long will it stay free? It can change. Always verify the price before enrolling.
- Do I need prior Postman or CI/CD experience? No. The course explains each tool step by step.
- What software is required? A browser, Postman or CLI tools like curl, and access to GitHub for CI/CD examples.
Practical projects and real-world value
Expect hands-on projects that mirror workplace tasks: capturing live API traffic, converting that into testable Postman suites, running tests in CI, and publishing readable reports. The course emphasises maintainability: environment-driven tests, secrets handling, and modular collections. You will also see how AI can accelerate repetitive tasks—like generating initial tests or summarising failure logs—so teams spend less time debugging and more time improving quality.
Conclusion
By the end, you will have a practical skill set for modern API automation: traffic analysis, Postman collection design, Newman execution, GitHub Actions integration, and AI-assisted test workflows. The course focuses on real projects and maintainable pipelines so you can apply these patterns at work. Verify the course price before enrolling and follow the step-by-step projects to build confidence quickly.
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