GCP AI Development Options
GCP offers several options to develop and deploy AI solutions:
- Pre-Trained APIs: don’t have training data and/or lack experience; preconfigured solution; use ML models that Google already built and trained
- BigQueryML: low code solution for data analysts; use SQL queries to create and execute machine learning models in BigQuery
- AutoML: low code solutions for data scientists; apply a no-code solution to build ML models on Vertex AI.
- Custom training: code your own ML environment to have control over the ML pipeline.
| Pre-trained APIs | BigQueryML | AutoML | Custom Training | |
|---|---|---|---|---|
| Data Type | tabular, image, text, audio, video | tabular | tabular, image, text, video | tabular, image, text, video |
| Training data size | no data required | medium to large | small to medium | medium to large |
| ML and coding expertise | low | medium | low | high |
| Flexibility to tune hyperparams | none | medium | none | high |
| Time to train model | none | medium | medium | long |
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