API testing

The project entailed building an image classification model using PyTorch, integrated with Azure ML for data handling, model training, and deployment. Key steps included initializing Azure ML Workspace, processing the dataset, developing the model in PyTorch, and deploying it on Azure for real-world inference. This project showcases the synergy between advanced machine learning frameworks and cloud computing platforms in solving complex image classification tasks.

Basic API test automation framework for TMDB.

Contains all the content used in the videos

API tests for the public API JSONPlaceholder (https://jsonplaceholder.typicode.com)

[Intermediate] Test Automation sample for API Testing using Postman and Newman

Test project for the combined-credit-api