Sandip Das

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100 Days of MLOpsMLOps ML

System Design Deep Dives

185 System Design Deep Dives — Now Live on LearnXops

100 Days of MLOpsMLOps ML

Automated Model Training in CI/CD Pipelines

Automatically Retrain Models with GitHub Actions and DVC, and Share Evaluation Reports in Pull Requests Using CML. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 33)

100 Days of MLOpsMLOps ML

GitHub Actions for ML CI Pipelines

Automate Testing, Training, Evaluation, and Deployment to Build Reliable Machine Learning Systems. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 32)

Run real AWS commands with no AWS account, no credentials, no bill

Local Cloud Labs are live — 18 hands-on AWS labs against a real emulator on your own machine. 10 of them are free for everyone.

100 Days of MLOpsMLOps ML

CI/CD Fundamentals for Machine Learning

Automate Testing, Training, Evaluation, and Deployment to Build Reliable Machine Learning Systems. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 31)

100 Days of MLOpsMLOps ML

Running and Managing Kubeflow Pipeline Runs

Execute, Schedule, Monitor, and Troubleshoot Parameterized Machine Learning Pipelines Using the Kubeflow UI and Python SDK (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 30)