How to Deploy End to End ML Projects in Production AWS Cloud Using CI CD Pipeline

Deploy an end-to-end machine learning application using CI/CD pipelines and GitHub Actions on AWS cloud infrastructure. Learn how to set up Docker workflows, configure IAM users, create ECR repositories, launch EC2 instances, and implement app runners. Follow along with step-by-step instructions covering prerequisites, Docker setup, AWS configurations, and running the complete workflow. Gain practical experience in deploying production-ready ML projects using cloud services and automation tools.

Prerequisites
Docker And Workflow Set up
Iam User Setup In AWS
ECR Repository set up
EC2 Instance set up
Docker Set up In EC2 instance
App runner set up
run Workflow