In this webinar, we will show you how to take your data science skills to the next level. With only Python as a prerequisite, you will learn how to build a serverless system that uses a model to provide an AI-enabled service.
We will show you how to build serverless pipelines using Github Actions. The serverless pipelines are Python programs that run on a schedule and
(1) Create your features for training and inference,
(2) Make batch predictions with a model and output the predictions as the service.
We will use Hopsworks serverless, with its forever free tier, to store the features and models produced by our pipelines. And we will show you how to create a simple serverless user interface for your prediction service.
We will show how the system follows best practice in MLOps with regard to automated testing, versioning, and A/B testing. We hope this talk can convince Data Scientists to move beyond only training models to building complete prediction services to better show the value of your work to stakeholders.
CEO at Hopsworks
Jim Dowling is the CEO of Hopsworks and an Associate Professor at KTH Royal Institute of Technology. He is lead architect of the open-source Hopsworks Feature Store platform.
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