Chapter 10Choosing Training and Serving Infrastructure

Google Cloud Professional Data Engineer Exam objectives covered in this chapter include the following:

  • 3. Operationalizing machine learning models
    • ✔ 3.3 Choosing the appropriate training and serving infrastructure. Considerations include:
      • Distributed vs. single machine
      • Use of edge compute
      • Hardware accelerators (e.g., GPU, TPU)

image Data engineers have a wide array of options for training and serving machine learning models. GCP has a number of serverless options and specialized AI services. We discussed these topics in Chapter 9, “Deploying Machine Learning Pipelines.” This chapter focuses ...

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