Project 4 of 100: Build a Fully Automated ML CI/CD Pipeline on AWS скачать в хорошем качестве

Project 4 of 100: Build a Fully Automated ML CI/CD Pipeline on AWS

Stop deploying machine learning models manually! In this comprehensive, step-by-step tutorial, we build a production-grade, automated CI/CD pipeline for a machine learning model using AWS SageMaker, CodePipeline, and CodeBuild. This is PRJ-MLE-004, a project designed to demonstrate key MLOps practices and prepare you for the AWS Certified Machine Learning – Specialty exam. We go beyond simple deployment and build a robust system that automatically trains, versions, registers, and deploys your model with options for both manual and automated approval. In this video, you will learn how to: • Automate Model Training: Use CodeBuild to trigger a training job for a scikit-learn model. • Create a SageMaker Model Registry: Automatically create and version model packages in the SageMaker Model Registry for governance and lineage. • Build a Multi-Stage CI/CD Pipeline: Orchestrate the entire workflow using AWS CodePipeline, from source control in CodeCommit to final deployment. • Implement Approval Gates: Set up both manual approval steps and an automated approval process using an AWS Lambda function. • Deploy to Production: Use a final CodeBuild stage to deploy the approved model package to a live SageMaker endpoint. • Troubleshoot Like a Pro: We walk through and solve real-world IAM permission errors and configuration issues, showing you how to debug your own MLOps pipelines. This isn't just a demo—it's a complete, battle-tested project with all source code, IAM policies, and buildspec files provided. By the end, you'll have a powerful, reusable template for your own machine learning projects. 🕒 Timestamps: 0:00 - Introduction 1:17 - The Architecture Walk-through 5:40 - Business Impact 6:26 - Set up: The Build 7:49 - Data download and preparation 10:35 - Deployment 12:35 - Test Endpoint 13:06 - The Prediction 13:56 - Clean-Up 15:26 - Recap 16:15 - Outro 🔗 Resources: • CloudGuard Portfolio: https://cloudguardportfolio.com • GitHub: https://github.com/sulemoore 🤝 Connect with Me: • LinkedIn:   / mosuleiman   #AWS #SageMaker #MLOps #DevOps #MachineLearning #CodePipeline #CI/CD #AWSCertified #CloudGuard