Coursera – Deploying Machine Learning Models in Production

Files Included :

01 course-overview.mp4 (19.34 MB)
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01 introduction-to-model-serving.mp4 (10.84 MB)
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01 introduction-to-model-serving-infrastructure.mp4 (8.33 MB)
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02 deployment-options.mp4 (5.24 MB)
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03 improving-prediction-latency-and-reducing-resource-costs.mp4 (8.02 MB)
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04 creating-and-deploying-models-to-ai-prediction-platform.mp4 (6.6 MB)
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01 installing-tensorflow-serving.mp4 (9.59 MB)
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01 model-serving-architecture.mp4 (9.08 MB)
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02 model-servers-tensorflow-serving.mp4 (6.37 MB)
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03 model-servers-other-providers.mp4 (11.94 MB)
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01 scaling-infrastructure.mp4 (25.03 MB)
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01 online-inference.mp4 (12.9 MB)
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01 data-preprocessing.mp4 (9.4 MB)
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01 batch-inference-scenarios.mp4 (9.04 MB)
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01 batch-processing-with-etl.mp4 (7.36 MB)
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01 experiment-tracking.mp4 (14.78 MB)
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02 tools-for-experiment-tracking.mp4 (11.68 MB)
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04 introduction-to-mlops.mp4 (15.77 MB)
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01 mlops-level-0.mp4 (7.91 MB)
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02 mlops-levels-1-2.mp4 (26.8 MB)
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05 developing-components-for-an-orchestrated-workflow.mp4 (19.31 MB)
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01 managing-model-versions.mp4 (10.85 MB)
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04 continuous-delivery.mp4 (10.92 MB)
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07 progressive-delivery.mp4 (12.55 MB)
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01 why-monitoring-matters.mp4 (11.85 MB)
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02 observability-in-ml.mp4 (6.81 MB)
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03 monitoring-targets-in-ml.mp4 (5.93 MB)
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04 logging-for-ml-monitoring.mp4 (9.91 MB)
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05 tracing-for-ml-systems.mp4 (4.26 MB)
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01 what-is-model-decay.mp4 (5.05 MB)
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02 model-decay-detection.mp4 (3.85 MB)
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03 ways-to-mitigate-model-decay.mp4 (8.57 MB)
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01 responsible-ai.mp4 (7.44 MB)
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03 legal-requirements-for-secure-and-private-ai.mp4 (14.77 MB)
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05 anonymization-and-pseudonymisation.mp4 (5.82 MB)
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06 right-to-be-forgotten.mp4 (15.04 MB)
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01 specialization-recap-and-farewell.mp4 (5.59 MB)
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