Data Science in Production: Building Scalable Model Pipelines

Data Science in Production: Building Scalable Model Pipelines

Advanced

110 Lessons

8h

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

53 Playgrounds
16 Quizzes

This course includes

53 Playgrounds
16 Quizzes

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

Cloud Lab

Working with S3 in Lambda

Cloud Lab

Working with API in Lambda

Cloud Lab

4.

Containers for Reproducible Models

Working with AWS Container Registry

Cloud Lab

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

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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