Join us at Toronto Machine Learning Summit.

Only 4 years ago, if you wanted to build a production ML system, you would need tens of engineers to build and maintain a ML platform, such as Michelangelo at Uber. Now, with serverless ML platforms, you can build an operate a ML system in minimal time.

In this tutorial, we will build a serverless ML system from three different Python programs that, when plugged together make up a production ML system. The programs are:

a feature pipeline that we will schedule to run at an interval using Modal;
a training pipeline that we run on demand (Colab)
a batch inference pipeline that produces predictions that we show on a Dashboard (Gradio/HuggingFace)

For more information visit Toronto Machine Learning Summit.

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Build a Serverless ML system in Python in less than 1 hour

June 13, 2023

3:45 pm

EDT

The Carlu, Toronto

In this tutorial, we will build a serverless ML system from three different Python programs that, when plugged together make up a production ML system.

In this tutorial, we will build a serverless ML system from three different Python programs that, when plugged together make up a production ML system. The programs are:

a feature pipeline that we will schedule to run at an interval using Modal;
a training pipeline that we run on demand (Colab)
a batch inference pipeline that produces predictions that we show on a Dashboard (Gradio/HuggingFace)

For more information visit Toronto Machine Learning Summit.

‍