Automated API Tests using Artificial Intelligence (AI)

Explore what artificial intelligence is, from machine intelligence and machines thinking like humans to its role as a broad computer science field that makes software smarter and more efficient.

Compare machine learning and deep learning on image classification, from manually defined features to automatic feature discovery. Deep learning automatically finds the most important features for classification.

Contrast machine learning and deep learning through an animal image classification example, showing how machine learning relies on manually defined features while deep learning automatically discovers salient features for classification.

Discover what an API is, an application program interface that lets third-party programs interface with other software, and how web services enable communication between programs via SOAP and REST.

Explore what a rest api is, describing its representational state transfer approach and the use of get, put, post, and delete methods to access data in web services.

Explore the difference between rest api and soap api; rest api has no official standard as an architectural style, while soap api has an official standard as a protocol.

Explore how AI-powered automated API tests validate functionality, reliability, performance, and security by driving API calls and evaluating responses, focusing on the business logic layer rather than the user interface.

Understand why api testing matters for reliable, interconnected endpoints, exposing small errors early, enabling production monitoring, and improving security, performance, and access without a user interface.

Discover how API testing fits the traditional waterfall SDLC, using the handoff document and unit test results, and practice functional testing with JMeter, soap way, and Postman.

This module demonstrates creating an API test in JMeter, including setting up a trade group, header manager, and API request parameters, and validating server responses with listeners and reports.

Learn API testing in agile scrum cycles. Use Fiddler, a free web debugging proxy, to locate API endpoints, inspect requests and responses, and modify traffic.

Explore real-world api testing by inspecting an endpoint with fiddler, validating request parameters from Boston to New York, and running a test that passes against the server response.

Explore how artificial intelligence enables automated api testing by turning ui interactions into api scenarios with Parasol. Parasol's smart api generator records traffic and builds complete end-to-end api tests.

See a real world application demo of automated api testing with ai, recording traffic, creating flight tests, and validating requests and responses against the project document.

Discover why AI in API testing speeds test creation by replacing manual, document-heavy work with smart API data generators that automatically generate and update API test scenarios.

Master interview questions on artificial intelligence in software testing within the Automated API Tests using AI course, covering machine learning basics, supervised and unsupervised learning, deep learning, and image recognition.

Explore traditional and agile api testing methods, discover an ai-powered test generator, and learn to build an api test automation project for your company’s web app while prepping for interviews.