• SWAMY PRASADARAO VELAGA

The deployment of AI and machine learning (ML) models into production environments is a critical yet challenging phase in the AI lifecycle. This paper explores the integration of Continuous Integration (CI) principles into AI workflows to streamline model deployment, enhance reproducibility, improve scalability, and ensure continuous learning. CI, a practice well-established in traditional software development, automates testing, validation, and deployment processes, significantly reducing manual errors and accelerating the deployment cycle. By leveraging CI tools and technologies such as Jenkins, Travis CI, CircleCI, MLflow, Kubeflow Pipelines, Docker, and Kubernetes, this paper provides a comprehensive framework for automating and managing AI workflows. The proposed approach addresses key challenges in AI deployment, including version control, automated testing, resource management, and continuous model updates. Through this integration, organizations can achieve more reliable, efficient, and scalable AI deployments, ensuring that AI models remain robust, adaptive, and capable of delivering consistent performance in dynamic production environments. This paper aims to offer practical insights and strategies for implementing CI in AI workflows, contributing to the advancement and effectiveness of AI model deployment practices.

Continuous integration, AI workflow, Machine Learning Models, Model Deployment

"Streamlining Model Deployment with Continuous Integration in AI Workflows ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.g780-g789, February-2024, Available :http://www.jetir.org/papers/JETIR2402699.pdf

"Streamlining Model Deployment with Continuous Integration in AI Workflows ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppg780-g789, February-2024, Available at : http://www.jetir.org/papers/JETIR2402699.pdf