Before pipelines, registries, and Kubernetes, every MLOps engineer needs a clean, reproducible local setup. Today you'll install Python 3.10+, master pip and virtual environments, and configure VS Code as a full ML workbench.
Machine learning models are only valuable in production. MLOps is the discipline that gets them there — and keeps them working. Let's build the foundation.
Real-world learning, production-grade projects, and AI insights for modern DevOps engineers
Model versioning, prompt versioning, evaluation pipelines — the new ops discipline for AI (Day 21)
Real-world learning, production-grade projects, and AI insights for modern DevOps engineers
9 Mar 2026 - Weekly Update
Example: Kubernetes, Terraform, Docker, AWS, MLOps...
