Build ML Workflow on Google Cloud Vertex AI

Jun 08, 03:00AM PDT(10:00AM GMT).
  • Free 241 Attendees
In our previous talks of this series, we demonstrated how easily and quickly you can take your first steps with ML, discussed why ML should be part of your analytics strategy, and took a look at addressing the gaps in your ML operations by moving from a manual system to automation using MLOps.

In this fourth and final talk, we will look at the recent feature announcement of Vertex AI from Google IO. With the introduction of Vertex AI, engineers have an updated set of tools to build, train and deploy ML solutions. In this talk, in collaboration with Google Cloud, we will cover the thinking behind new services and how you can leverage them together to build production AI pipelines.

During this talk, you will learn:
- What is Vertex AI, and how it is different from its predecessor
- All about the new features and services
- How you can build and train your models using Vertex Training
- How to deploy your models at scale with Vertex AI, both for online and batch prediction requests

Christos Aniftos (Google)

Christos Aniftos, Machine Learning Practice Lead (UK/IE) at Google Cloud.
Darren Brien, Staff Cloud Architect at DoiT International
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