YoVDO

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

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Related Courses

Deep Learning with Python and PyTorch.
IBM via edX
Introduction to Machine Learning
Duke University via Coursera
How Google does Machine Learning em Português Brasileiro
Google Cloud via Coursera
Intro to Deep Learning with PyTorch
Facebook via Udacity
Secure and Private AI
Facebook via Udacity