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Build end-to-end solutions with Vertex AI | Session



Google Cloud Tech

Learn how to use Google Cloud’s newly announced Vertex AI to build, train, and deploy scalable AI applications. Launching today, Vertex AI is a managed ML platform for every practitioner to speed the rate of experimentation and accelerate deployment of AI models. From raw data to deployed model, we’ll cover each step in the ML process. You’ll leave this session ready to accelerate your ML projects with Vertex AI.

Resources:
Get started with Vertex AI → https://goo.gle/3gNO3MU
Vertex AI documentation → https://goo.gle/3nEZ7gL
Vertex AI samples → https://goo.gle/3aM4PIx
Strike a pose: Training a vision model on the AI Platform → https://goo.gle/3v19MFe
Custom models and Cloud AI → https://goo.gle/3og98Bv
ML Ops on Google Cloud → https://goo.gle/3ookAL8
Train TensorFlow models at cloud scale with TensorFlow Cloud → https://goo.gle/3ojYSbu

Speaker: Sara Robinson

Watch more:
Google Cloud Tech at Google I/O 2021 Playlist → https://goo.gle/io21-gcloudtech
All Google I/O 2021 Technical Sessions → https://goo.gle/io21-technicalsessions
All Google I/O 2021 Sessions → https://goo.gle/io21-allsessions

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product: TensorFlow – TensorFlow Cloud; event: Google I/O 2021; fullname: Sara Robinson; re_ty: Premiere;

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11 thoughts on “Build end-to-end solutions with Vertex AI | Session
  1. Hi Sara, thanks for the video. I’m trying some model in Vertex can you point me to how I do “DataPrep” inside vertex, also where can I refer “programmatically” doing all this? Thanks.

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