Coursera - Deploying Machine Learning Models in Production

Files Included :

01 course-overview.mp4 (20.61 MB)
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01 introduction-to-model-serving.mp4 (11.06 MB)
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01 introduction-to-model-serving-infrastructure.mp4 (8.19 MB)
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02 deployment-options.mp4 (5.11 MB)
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03 improving-prediction-latency-and-reducing-resource-costs.mp4 (8.1 MB)
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04 creating-and-deploying-models-to-ai-prediction-platform.mp4 (6.63 MB)
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01 installing-tensorflow-serving.mp4 (9.67 MB)
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01 model-serving-architecture.mp4 (8.98 MB)
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02 model-servers-tensorflow-serving.mp4 (6.21 MB)
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03 model-servers-other-providers.mp4 (11.75 MB)
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01 scaling-infrastructure.mp4 (25.59 MB)
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01 online-inference.mp4 (13.02 MB)
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01 data-preprocessing.mp4 (9.42 MB)
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01 batch-inference-scenarios.mp4 (8.68 MB)
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01 batch-processing-with-etl.mp4 (7.53 MB)
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01 experiment-tracking.mp4 (14.69 MB)
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02 tools-for-experiment-tracking.mp4 (11.43 MB)
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04 introduction-to-mlops.mp4 (15.41 MB)
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01 mlops-level-0.mp4 (7.65 MB)
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02 mlops-levels-1-2.mp4 (27.1 MB)
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05 developing-components-for-an-orchestrated-workflow.mp4 (18.51 MB)
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01 managing-model-versions.mp4 (10.61 MB)
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04 continuous-delivery.mp4 (10.67 MB)
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07 progressive-delivery.mp4 (12.31 MB)
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01 why-monitoring-matters.mp4 (12.04 MB)
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02 observability-in-ml.mp4 (6.67 MB)
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03 monitoring-targets-in-ml.mp4 (5.72 MB)
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04 logging-for-ml-monitoring.mp4 (9.69 MB)
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05 tracing-for-ml-systems.mp4 (4.15 MB)
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01 what-is-model-decay.mp4 (4.92 MB)
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02 model-decay-detection.mp4 (3.84 MB)
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03 ways-to-mitigate-model-decay.mp4 (8.29 MB)
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01 responsible-ai.mp4 (7.17 MB)
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03 legal-requirements-for-secure-and-private-ai.mp4 (14.09 MB)
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05 anonymization-and-pseudonymisation.mp4 (5.56 MB)
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06 right-to-be-forgotten.mp4 (14.71 MB)
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01 specialization-recap-and-farewell.mp4 (6.12 MB)
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