Post by Shantanu Ladhwe

This is probably one of the most complete #MLOps repos out there. If you’re serious about production ML, this series is GOLD 👇 From model building to monitoring, packaging, and deployment Everything is covered, week by week: Week 0 → Project Setup Week 1 → Monitoring with Weights & Biases Week 2 → Configuration with Hydra Week 3 → Data Versioning with DVC Week 4 → Model Packaging with ONNX Week 5 → Dockerizing your model Week 6 → CI/CD with GitHub Actions Week 7 → Push to AWS ECR Week 8 → Deploy with AWS Lambda Week 9 → Prediction Monitoring with Kibana 🔗 Repo → https://lnkd.in/gwP4dTpN No, not every company uses all of these tools - but yes, some parts of this stack are widely used across the industry. And remember: MLOps is a principle, not a fixed stack. It’s about repeatability, reliability, and scalability the tools are just a means. If you’re learning or already building in production this is worth checking out. (though very old repo, but MLOps principles are the same) -- ♻️ Repost if you found it helpful! ➕ We often this discuss on these topics here 👇 ➕Join 40.000+ AI/ML builders here: https://lnkd.in/ds_SzEUH