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Journey to Become a Google Cloud Machine Learning Engineer

You're reading from   Journey to Become a Google Cloud Machine Learning Engineer Build the mind and hand of a Google Certified ML professional

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803233727
Length 330 pages
Edition 1st Edition
Languages
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Author (1):
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Dr. Logan Song Dr. Logan Song
Author Profile Icon Dr. Logan Song
Dr. Logan Song
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Toc

Table of Contents (23) Chapters Close

Preface 1. Part 1: Starting with GCP and Python
2. Chapter 1: Comprehending Google Cloud Services FREE CHAPTER 3. Chapter 2: Mastering Python Programming 4. Part 2: Introducing Machine Learning
5. Chapter 3: Preparing for ML Development 6. Chapter 4: Developing and Deploying ML Models 7. Chapter 5: Understanding Neural Networks and Deep Learning 8. Part 3: Mastering ML in GCP
9. Chapter 6: Learning BQ/BQML, TensorFlow, and Keras 10. Chapter 7: Exploring Google Cloud Vertex AI 11. Chapter 8: Discovering Google Cloud ML API 12. Chapter 9: Using Google Cloud ML Best Practices 13. Part 4: Accomplishing GCP ML Certification
14. Chapter 10: Achieving the GCP ML Certification 15. Part 5: Appendices
16. Index 17. Other Books You May Enjoy Appendix 1: Practicing with Basic GCP Services 1. Appendix 2: Practicing Using the Python Data Libraries 2. Appendix 3: Practicing with Scikit-Learn 3. Appendix 4: Practicing with Google Vertex AI 4. Appendix 5: Practicing with Google Cloud ML API

Appendix 4: Practicing with Google Vertex AI

In Chapter 7, Exploring Google Cloud Vertex AI, we discussed Google Cloud Vertex AI. This appendix contains some hands-on tutorials for Google Vertex AI in the Google Cloud console, step by step. We will cover the following labs:

  • Vertex AI – enabling its API
  • Vertex AI – datasets
  • Vertex AI – labeling tasks
  • Vertex AI – training
  • Vertex AI – predictions (Vertex AI Endpoint)
  • Vertex AI – predictions (Vertex AI Batch Prediction)
  • Vertex AI – Workbench
  • Vertex AI – Feature Store
  • Vertex AI – pipelines and metadata
  • Vertex AI – model monitoring

You are expected to follow these labs to practice Vertex AI and gain implementation skills.

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