Deploying No-Code Automated MLOps for Amazon Forecast

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Published Feb 20, 2025

Traditional approaches to deploying Amazon Forecast works required customers to click through the console or learn APIs using Jupyter notebooks. Both of these approaches increase the barrier to ongoing, sustainable production operation at scale. In this session, we will show you how to deploy recurring Amazon Forecast workloads with no-code, using AWS CloudFormation, AWS Step Functions and AWS Systems Manager. This solution provides customers with a consistent, scalable pipeline from Day 1 first-use exploration, to PoC, to production deployments - without a need for refactoring. In addition, the solution helps deploy and manage many decoupled and concurrent workloads.

Learning Objectives:
* Objective 1: Attendees will learn how to generate highly accurate predictions with Amazon Forecast.
* Objective 2: Attendees will understand the macro level processes of pulling data from various sources, importing, building a model, producing inference, and using time-series predictions to achieve business goals.
* Objective 3: Attendees will learn how to deploy automated MLOps pipelines to quickly move from PoCs to production.

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/forecast/
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