MLOps on Vertex AI: Accelerate Models To Production

Getting a Machine Learning model into production is hard. And once in production, ML models can create constant challenges with degradation and model drift.

Google Cloud’s Vertex AI provides a unified AI platform to implement MLOps at scale, but how do you get started?

We’ve made things easier and faster for data scientists and engineers with our latest open-source initiative. Using Google’s latest ML advancement, Vertex AI, our readily available templates help you accelerate models into production + enable automated and efficient maintenance.

In our video, you will:

  • Get an introduction to MLOps and Vertex AI
  • Hear about Delivery Hero‘s MLOps journey
  • Find out how to build a scalable MLOps Platform with Vertex AI + Datatonic’s MLOps Turbo Templates


  1. Cian Cullinan, Data Engineer at Delivery Hero
  2. Thomas Nguyen, Staff Data Engineer at Delivery Hero
  3. Lucio Floretta, EMEA Lead, AI Industry Solutions Services, Google Cloud
  4. Jamie Curtis, MLOps Practice Lead, Datatonic
  5. Jonny Browning, Principal MLOps Engineer, Datatonic

    Do you want to know more about the best tools for your MLOps platform? Download our MLOps Tools Guide here.

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