Production-Ready MLOps Project with GitOps & ArgoCD | Episode #2

Welcome to Episode 2 of the Production AI Systems Engineering series. In this 5-hour hands-on project, you'll build a complete production-grade MLOPS GitOps pipeline from scratch using industry-standard tools. Instead of learning concepts in isolation, you'll implement an end-to-end workflow similar to what is used in real-world AI and Machine Learning production environments. 📂 Materials & Code https://drive.google.com/file/d/1LNMm... 📂 GitHub Code https://github.com/data-guru0/Product... ⏱️ Timestamps 00:00 Introduction to End to End MLOPS/GITOPS Project 30:37 Project Setup 41:14 Jupyter NB testing 01:38:34 Data Processing Pipeline 02:02:55 Model Training Pipeline 02:24:41 User App Building 02:52:25 Code Versioning,Dockerfile,Kubernetes Manifests 03:06:50 VM Instance Setup 03:33:23 Jenkins Installation & Setup 03:53:10 GitHub Integration 04:06:53 CI Pipeline 04:21:51 ArgoCD Configuration 04:49:26 Continuous Deployment 04:57:24 Complete Deployment of the Application Follow me on LinkedIn here:   / sudhanshu-gusain976