How to Deploy an AI Application Using Docker and a CI/CD Pipeline
How to Deploy an AI Application Using Docker and a CI/CD Pipeline Deploying an AI application requires more than getting it to work on your laptop. At Trendnologies , learners exploring DevOps Training in Chennai can explore relevant technologies and deployment practices used to build and deliver applications reliably. Docker and CI/CD pipelines help developers package AI applications, automate testing, manage dependencies, and deploy updates consistently across different environments. An AI application may depend on a specific Python version, machine learning libraries, system packages, model files, API credentials, or external services. If these dependencies are not handled properly, the application can work during development and fail after deployment. In this guide, we will explore how to deploy an AI application using Docker and a CI/CD pipeline, from preparing the application to automating tests, publishing container images, and monitoring the deployed service.