MLOps Course Guide

MLOps #1 | From Notebook to Production-Ready ML Code | FastAPI, Docker & pytest

handson docker mlops mena community

MLOps #2 | MLflow, DVC & GitHub Actions: Experiment Tracking and ML Pipeline Automation

Hands on CI CD pipelines

MLOps #3 | Model Serving at Scale: BentoML, Triton & vLLM + Canary and Shadow Deployments

Kubernetes Deployment Strategies Explained Part 1 | Recreate, Rolling Update, Blue-Green

Kubernetes Deployment Strategies Explained Part2 | Canary, A/B Routing, Shadow Traffic

Hands on FastAPI and backend For MLOps

MLOps #4 | Observability and Drift Detection

MLOps #5 | Model optimization — faster, smaller, cheaper