In this blog post , we discuss the recent release of Google Cloud's Vertex AI platform, a unified platform for building and deploying machine learning models. As we believe Google Cloud's tool, Vertex AI is a game-changer for machine learning practitioners, as it simplifies the process of building, deploying, and managing machine learning models. The platform offers a wide range of tools and features, including AutoML, which allows users to create custom models without any coding, and a streamlined user interface for managing workflows.
The blog post also highlights the benefits of using Vertex AI for businesses, such as reducing costs and improving scalability. The platform offers a pay-per-use pricing model, which allows businesses to save money by only paying for the resources they use. Additionally, Vertex AI's scalability enables businesses to easily handle large amounts of data and adapt to changing business needs.
Overall, the blog post argues that Vertex AI is a powerful tool for machine learning practitioners and businesses alike, offering a streamlined and cost-effective solution for building and deploying machine learning models.
To read the full blogpost, we advice you to have a look on our Medium where we wall you through the code, give tips and tricks and so much more.
If you just want to access the code for Deploying a Scikit-learn Pipeline + LightGBM Classifier Model on Vertex AI for Explainable Online Predictions, you can find the notebook here.
