Chapter 12Leveraging Prebuilt Models as a Service
Google Cloud Professional Data Engineer Exam objectives covered in this chapter include the following:
- 3. Operationalizing machine learning models
- ✔ 3.1 Leveraging pre-built ML models as a service. Considerations include:
- ML APIs (e.g., Vision AI, Speech AI)
- Customizing ML APIs (e.g., Auto ML Vision, Auto ML text)
- Conversational experiences (e.g., Dialogflow)
- ✔ 3.1 Leveraging pre-built ML models as a service. Considerations include:
Google Cloud Platform provides several services that use pretrained machine learning models to help developers build and deploy intelligent services more quickly. The services are broadly grouped into the following categories:
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