Coursera - Cloud Machine Learning Engineering and MLOps

Files Included :

01 instructor-introduction.mp4 (10.71 MB)
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02 course-introduction.mp4 (2.47 MB)
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03 lab-onboarding.mp4 (1.9 MB)
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05 course-4-project-overview.mp4 (1.83 MB)
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01 introduction-to-machine-learning-engineering.mp4 (604.9 KB)
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02 machine-learning-engineering-overview.mp4 (9.55 MB)
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03 machine-learning-engineering-architecture.mp4 (4.62 MB)
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01 introduction-to-machine-learning-microservices.mp4 (767.18 KB)
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02 machine-learning-microservices-overview.mp4 (7.93 MB)
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03 monolithic-versus-microservice.mp4 (3.35 MB)
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01 introduction-to-continuous-delivery-for-machine-learning.mp4 (745.26 KB)
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02 continuous-delivery-for-machine-learning-overview.mp4 (5.66 MB)
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03 what-is-data-drift.mp4 (3.28 MB)
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04 continuously-deploy-flask-ml-application.mp4 (6.21 MB)
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05 aws-app-runner-high-level-paas-continuous-delivery.mp4 (30.89 MB)
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01 introduction-to-automl.mp4 (919.91 KB)
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02 what-is-automl.mp4 (6.5 MB)
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03 automl-computer-vision.mp4 (5.08 MB)
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04 introduction-to-no-code-low-code.mp4 (5.95 MB)
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05 no-code-low-code-automl-part-1.mp4 (83.59 MB)
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06 no-code-low-code-automl-part-2.mp4 (38.61 MB)
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07 apple-create-ml-automl.mp4 (28.07 MB)
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01 introduction-to-ludwig-automl.mp4 (1.1 MB)
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02 what-is-ludwig-automl.mp4 (7.35 MB)
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03 ludwig-automl-deep-dive.mp4 (5.73 MB)
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04 ludwig-automl-by-example.mp4 (13.19 MB)
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01 introduction-to-cloud-automl.mp4 (840.67 KB)
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02 what-is-cloud-automl.mp4 (10.31 MB)
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03 cloud-automl-deep-dive.mp4 (2.45 MB)
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04 guest-speaker-alfredo-deza.mp4 (15.5 MB)
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05 introduction-to-azure-machine-learning-studio.mp4 (7.11 MB)
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06 create-a-dataset-in-azure-machine-learning-studio.mp4 (21.42 MB)
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07 automated-ml-run-in-azure-machine-learning-studio.mp4 (22.87 MB)
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08 experiments-in-azure-machine-learning-studio.mp4 (7.48 MB)
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09 deploy-a-module-in-azure-machine-learning-studio.mp4 (14.14 MB)
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10 test-endpoints-in-azure-machine-learning-studio.mp4 (8.72 MB)
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01 introduction-to-mlops.mp4 (758.96 KB)
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02 what-is-mlops.mp4 (9.68 MB)
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03 mlops-deep-dive.mp4 (5.09 MB)
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01 introduction-to-edge-machine-learning.mp4 (983.02 KB)
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02 what-is-edge-machine-learning.mp4 (22.03 MB)
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03 edge-machine-learning-vision-in-action.mp4 (15.3 MB)
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04 hardware-inference-model-solutions-in-edge-machine-learning.mp4 (70.13 MB)
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05 edge-machine-learning-in-google.mp4 (85 MB)
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06 edge-machine-learning-in-aws.mp4 (40.6 MB)
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01 introduction-to-ai-apis.mp4 (1.04 MB)
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02 how-to-use-ai-apis.mp4 (3.16 MB)
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03 core-components-of-a-cloud-application.mp4 (7.01 MB)
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04 aws-comprehend-for-natural-language-processing.mp4 (19.25 MB)
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05 aws-rekognition-for-computer-vision.mp4 (5.97 MB)
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06 gcp-automl-for-natural-language-processing.mp4 (21.01 MB)
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07 gcp-automl-for-computer-vision.mp4 (11.35 MB)
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08 azure-automl-for-ai-predictions.mp4 (38.85 MB)
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09 azure-automl-for-computer-vision.mp4 (6.68 MB)
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10 core-components-of-a-cloud-application-recap.mp4 (942.59 KB)
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01 steps-to-developing-an-api.mp4 (14.35 MB)
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02 flask-machine-learning-backend.mp4 (6.23 MB)
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03 checklist-for-building-professional-web-services.mp4 (15.68 MB)
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