Post by Eric Vyacheslav

AI/ML Engineer | Ex-Google | Ex-MIT

This repo covers everything you need to know about MLOps. The goal of the series is to understand the basics of MLOps like model building, monitoring, configurations, testing, packaging, deployment, cicd, etc. Week 0: Project Setup Week 1: Model Monitoring - Weights and Biases Week 2: Configurations - Hydra Week 3: Data Version Control - DVC Week 4: Model Packaging - ONNX Week 5: Model Packaging - Docker Week 6: CI/CD - GitHub Actions Week 7: Container Registry - AWS ECR Week 8: Serverless Deployment - AWS Lambda Week 9: Prediction Monitoring - Kibana https://lnkd.in/gwP4dTpN ♻️ Repost this if you found it useful. ↓ Are you technical? Check out https://AlphaSignal.ai to get a daily summary of breakthrough models, repos and papers in AI. Read by 200,000+ devs.

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