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MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform

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Overview

This is the second of three courses in the Machine Learning Operations Program using Google Cloud Platform (GCP). Data Science, AI, and Machine Learning projects can deliver an amazing return on investment. But, in practice, most projects that look great in the lab (and would work if implemented!) never see the light of day. They could save or make the organization millions of dollars but never make it all the way into production. Whats going on? It turns out that...

Syllabus

  • Week 1: The Machine Learning Pipeline

    • AI Engineering Role
    • ML pipeline lifecycle
  • Week 2: The Model in the Pipeline

    • Case Study for the Course
    • Model Understanding
  • Week 3: Monitoring Model Performance

    • Logging and Metric Selection
    • Model and Data Versioning
  • Week 4: Training Artifacts and Model Store
MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform
Go to Class

statistics.com via edX

7 hours

$239.00 Certificate Available

English

On-Demand

Intermediate

Instructor

John Ekder,IV

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