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DeepLearning.AI vía Coursera
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Deploying Machine Learning Models in Production

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Acerca de este curso

  • Week 1: Model Serving: Introduction
    • Learn how to make your ML model available to end-users and optimize the inference process
  • Week 2: Model Serving: Patterns and Infrastructure
    • Learn how to serve models and deliver batch and real-time inference results by building scalable and reliable infrastructure
  • Week 3: Model Management and Delivery
    • Learn how to implement ML processes, pipelines, and workflow automation that adhere to modern MLOps practices, which will allow you to manage and audit your projects during their entire lifecycle
  • Week 4: Model Monitoring and Logging
    • Establish procedures to detect model decay and prevent reduced accuracy in a continuously operating production system