REST Assured Java - Creating a Book Store Application

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

REST Assured Java - Creating a Book Store Application

Coursera · Intermediate ·🧠 Large Language Models ·2mo ago
This hands-on course guides learners through the structured development and testing of a RESTful Book Store API using REST Assured and Java. Designed for learners with intermediate Java experience, the course applies real-world case study methodology to build foundational skills in RESTful API testing. Learners will set up a Java testing project, integrate key dependencies, and demonstrate mastery over authentication workflows by generating and authorizing users via secure tokens. Through practical exercises, learners will implement core CRUD operations, interpret API responses, and evaluate end-to-end outcomes using HTTP methods and status codes. By the end of this course, learners will be able to: • Configure REST Assured in a Java environment for scalable test automation. • Construct and execute secure API requests using token-based authentication. • Perform and validate create, read, update, and delete operations for managing book data. • Analyze API test results to verify functionality and system behavior. Whether you are looking to solidify your API testing skills or work toward automation in enterprise applications, this course equips you with the knowledge to apply, analyze, and evaluate RESTful services using REST Assured.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Transformers From Scratch: How Attention Really Works (With Visuals & Code)
Learn how Transformers work from scratch with visuals and code, understanding the attention mechanism that powers major LLMs and other models
Dev.to AI
Why I ditched regex scrapers for an LLM parser (and when you shouldn't)
Ditch regex scrapers for LLM parsers when dealing with complex HTML structures, but know when to stick with traditional methods
Dev.to AI
GLM-5.2 Is Here: China’s New AI Coding Model Comes With a 1 Million Token Context Window
Learn to use GLM-5.2, China's new AI coding model with a 1 million token context window, for free and discover its potential as the next AI software engineer
Medium · LLM
Human Reviewers Aren’t a Fallback -They’re a Signal Source
Human reviewers are a crucial signal source, not just a fallback, and leveraging them effectively is key to improving AI systems
Medium · LLM
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →