Advanced
110 Lessons
8h
Certificate of Completion
Course Overview
The goal of this course is to provide you with a set of tools that can be used to build predictive model services for product teams. In this course, you’ll start by covering the different cloud environments and tools for building scalable data and model pipelines. You’ll then learn the different data sets and types of models that will be used heavily in everyday production. Throughout the course, you’ll have plenty of exercises and challenges to get you comfortable working with the diverse toolset. Lastly...
Course Content
Introduction to Building Scalable Model Pipelines
Models as Web Endpoints
Models as Serverless Functions
Create an Echo Function in Lambda
Cloud Lab
Working with S3 in Lambda
Cloud Lab
Working with API in Lambda
Cloud Lab
Containers for Reproducible Models
Working with AWS Container Registry
Cloud Lab
Workflow Tools for Model Pipelines
PySpark for Batch Pipelines
25 Lessons
Cloud Dataflow for Batch Modeling
8 Lessons
Streaming Model Workflows
10 Lessons
Course Conclusion
1 Lesson
How You'll Learn
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