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MLOps
10 short modules. Each one: a simple lesson, two quick games and a 8-question quiz for its own free certificate. Finish them all, then take the full MLOps certificate.
0 of 10 module certificates
- What is MLOps?MLOps applies DevOps practices to machine learning so models work reliably in production.0/4
- Reproducible experimentsTrack code, data, parameters and results.0/4
- ML pipelinesAutomate data preparation, training and evaluation.0/4
- Feature engineering and feature storesManage features consistently for training and serving.0/4
- Model deployment patternsServe predictions in batch or real time.0/4
- CI/CD for machine learningTest and deliver ML code and models automatically.0/4
- Monitoring models in productionDetect when models stop working well.0/4
- Infrastructure for MLRun ML workloads with containers, Kubernetes and cloud.0/4
- Responsible AI and governanceBuild fair, explainable and compliant ML systems.0/4
- MLOps for LLMs and careersApply MLOps to generative AI and grow your career.0/4
🏆 Full MLOps certificate
20 questions from basic to advanced, 60% to pass. Best taken after the modules.