Agent vibe testing 2026: Automated API Testing with AI Tools (Udemy.com)

This course contains the use of artificial intelligence.

It is the whole point. This course teaches an AI-first testing workflow, and the course itself was produced with it: AI-assisted scripts, narration, translations, and code, all reviewed and directed by a human instructor. What you see on screen is what the workflow actually produces.

Automated API testing is one of the most in-demand, best-paid skills in QA and software testing today — and here is why. Modern software is not one program. It is dozens of services, systems, and components talking to each other over APIs. API testing is how you verify that communication: the right request goes in, the right response comes back, the correct status code, the correct JSON, correct error handling — every single time. It is integration testing at the level where real systems actually break.

This is a hands-on, AI-first API test automation course. You will learn to do it the way senior QA, backend, and SDET engineers actually work in 2026 — read the OpenAPI spec, direct an AI IDE to generate the tests, and wire everything into a CI/CD pipeline that runs automatically on every push.

You will test one real REST API — TechShop — using four different tools and approaches: Postman with MCP, Bruno, Python + pytest, and Robot Framework. Across the suites you validate endpoints, HTTP methods, status codes, JSON response bodies, headers, authentication, and error handling — plus the integration paths where one endpoint depends on another. The same five bugs are planted in the API. All four suites find all five. By the end you will know which tool fits which team and context — not from theory, but from having run them all yourself.

What you will produce:

- A Postman collection built directly in your workspace via MCP — no file, no import

- A Bruno collection as plain .bru files in your Git repository

- A Python + pytest test suite with fixtures, parametrize, and an HTML report

- A Robot Framework suite with keyword-driven tests and a detailed execution log

- Endpoint, status-code, and JSON response assertions across every suite

- A GitHub Actions CI/CD pipeline running all four suites automatically on every push

- Structured bug reports generated from test output with your AI IDE

- Refactored test suites applying professional best practices using reusable AI skills

Tools you will use:

- Cursor and Antigravity IDE

- Postman + Postman MCP server + Newman CLI

- Bruno desktop app + Bruno CLI

- Python + pytest + requests

- Robot Framework + RequestsLibrary

- GitHub Actions

Every tool has a free tier. You do not need to spend anything beyond the course.

What you will learn to test:

- REST API endpoints — GET, POST, PUT, DELETE — and what each should return

- HTTP status codes and why the wrong one is a real bug

- JSON response bodies, fields, and data validation

- Authentication, headers, and error responses

- Integration between endpoints — testing the communication between components, not just one call in isolation

- Positive, negative, and edge cases for every route

What makes this course different:

Most API testing courses teach one tool. This course teaches four — against the same API, with the same bugs — so you can make an informed decision for your own team. You will also see how AI integration varies across tools: Postman requires MCP configuration, Bruno needs nothing because it is file-based, Python is the most natural fit because AI was built to write code. Understanding those differences changes how you work day to day.

Who this course is for:

- Manual testers who want to move into API and integration test automation

- QA and automation engineers who know one tool and want the full landscape

- Backend and full-stack developers who want automated coverage on their REST APIs

- Aspiring SDETs and DevOps engineers who need API tests running in CI/CD

- Students who completed the Manual Vibe Testing course and want to go deeper

You do not need to write code from scratch. You need to understand what the API should do — your AI IDE handles the generation.