Hands-on exercise – building an MLOps pipeline on AWS

In this hands-on exercise, you will get hands on with building a simplified version of the enterprise MLOps pipeline. For simplicity, we will not be using the multi-account architecture for the enterprise pattern. Instead, we will build several core functions in a single AWS account. The following diagram shows what you will be building:

Figure 9.10 – Architecture of the hands-on exercise

At a high level, you will create two pipelines using CloudFormation: one for model training and one for model deployment.

Creating a CloudFormation template for the ML training pipeline

In this section, we will create two CloudFormation templates that do the following:

• The first template creates AWS Step Functions for an ML model training workflow that performs data processing, model training, and model registration. This will be a component of the training pipeline.
• The second template...