Data Science in Production: Building Scalable Model Pipelines
INTERACTIVE COURSE

Data Science in Production: Building Scalable Model Pipelines

Advanced

110 Lessons

8h

Certificate of Completion

Data Science in Production: Building Scalable Model Pipelines
4 CloudLabs
53 Playgrounds
16 Quizzes
212 Illustrations

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...Show More

Course Content

1

Introduction to Building Scalable Model Pipelines

2

Models as Web Endpoints

3

Models as Serverless Functions

Create an Echo Function in Lambda

CloudLab

Working with S3 in Lambda

CloudLab

Working with API in Lambda

CloudLab

4

Containers for Reproducible Models

Working with AWS Container Registry

CloudLab

5

Workflow Tools for Model Pipelines

6

PySpark for Batch Pipelines

25 Lessons

7

Cloud Dataflow for Batch Modeling

8 Lessons

8

Streaming Model Workflows

10 Lessons

9

Course Conclusion

1 Lesson

COURSE AUTHOR

How You'll Learn

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Progress You Can Show

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