Week 1 – API Testing (2 Hours)

In this week, you’ll be introduced to the fundamentals of API testing. You’ll understand what APIs are, why they are essential, and how they’re used in real-life applications. The concepts of client-server architecture and the request-response model will be explained. You’ll also explore the different types of APIs like REST, SOAP, and GraphQL, along with classifications such as open, internal, and partner APIs. The week wraps up with understanding HTTP methods like GET, POST, PUT, and DELETE, status codes, URIs, and endpoints.

Week 2 – AI Testing (4 Hours)

This week focuses on testing in AI-based applications. You’ll revisit the basics of APIs and understand their role in AI systems. The client-server model will be analyzed in the context of how AI interacts with data and services. You’ll dive deeper into REST, SOAP, and GraphQL, and explore how APIs help in integrating machine learning models. The usage of HTTP methods and interpreting status codes and endpoints in AI environments will also be covered.

Week 3 – UI Testing (4 Hours)

UI Testing takes the spotlight in week three. You’ll learn how front-end applications interact with APIs and how to validate these interactions. The course explains how the client-server architecture supports UI communication, and how REST, SOAP, and GraphQL fit into the UI landscape. You’ll understand the importance of HTTP methods and status codes in ensuring a responsive and bug-free user experience. Real-life scenarios will help you connect these technical aspects with practical testing needs.

Week 4 – Revision & Use Cases (4 Hours)

In the final week, all concepts from API, AI, and UI testing will be revised. This session focuses on combining everything you’ve learned into practical, real-time use cases. You’ll work on analyzing different testing scenarios, identifying correct API patterns, and planning endpoint testing strategies. The week concludes with group discussions, Q&A, and knowledge sharing to reinforce your understanding.