AIModels Tech Inc. aims to streamline its machine learning operations by integrating ML Ops with DevOps using GitHub Actions and cloud services. The goal of this project is to create an automated pipeline that builds, trains, tests, and deploys machine learning models efficiently. This integration will enhance the company's ability to quickly iterate on models and deploy them with minimal manual intervention. The project will focus on leveraging GitHub Actions to automate workflows and cloud services to manage resources and deployments. By completing this project, learners will gain hands-on experience in automating ML pipelines, a critical skill in the tech industry. The project will also provide an opportunity to apply classroom knowledge of machine learning and DevOps in a practical setting.

The deliverables for this project include a fully automated ML pipeline using GitHub Actions, which will handle the build, train, test, and deployment stages. Additionally, learners will provide documentation detailing the setup and usage of the pipeline, ensuring that it is easy to understand and maintain. A demonstration of the pipeline in action, showcasing its efficiency and reliability, will also be required. This project will culminate in a presentation to AIModels Tech Inc., highlighting the integration's benefits and potential for scalability.