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Google Cloud Professional Data Engineer Cert Prep: 3 Operationalizing Machine Learning Models

Offered By: LinkedIn Learning

Tags

Machine Learning Courses Computer Vision Courses PyTorch Courses MLOps Courses Vertex AI Courses Data Engineering Courses TPUs Courses

Course Description

Overview

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Prepare for the Google Cloud Professional Data Engineer certification exam’s third section, operationalizing machine learning models.

Syllabus

Introduction
  • Course overview
1. Pre-built ML Models as a Service
  • Google Colab with TensorFlow Hub
  • Using GCP NLP from the CLI
2. Training and Serving Infrastructure Selection
  • PyTorch pretrained model overview
  • Demo: PyTorch pretrained model
  • Understanding TPUs
  • TPUs as part of technology transition
  • Getting started with Vertex AI
  • Using GCP ML API vision from CLI
3. ML Model Measurement, Monitoring, and Troubleshooting
  • Using the five whys method
  • Demo: Load testing with Locust
  • MLOps on GCP
Conclusion
  • Using Google machine learning courses
  • Next steps

Taught by

Noah Gift

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