AI in the Cloud
summary
Vertex AI appears as a one‑stop platform that actually unifies datasets, notebooks, AutoML and custom training (TensorFlow/PyTorch) and supports Managed Pipelines for reproducible CI/CD‑style model runs and Model Monitoring to detect drift. Concrete, usable APIs include Vision and the Video Intelligence API with person/pose/OCR/brand detection, Document AI for forms, Dialogflow for conversational agents, and step‑by‑step Codelabs and quickstart notebooks that demonstrate working demos (tennis serve analysis, PDF→audio) and ready‑to‑reuse TensorFlow Hub models.
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chapters (9)
- 0:00Intro
- 1:38What is Vertex AI
- 4:18Different levels of abstraction
- 7:36Getting started
- 11:20ML Ops
- 13:38Leveraging Pretrained Models
- 17:08Favorite ML API
- 24:53Resources
- 26:18AI in the Cloud
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