Mastering Serverless Computing for Data Science

INTERACTIVE COURSE

Mastering Serverless Computing for Data Science

Intermediate

26 Lessons

7h

Certificate of Completion

AI Explanations

AI Explanations

Mastering Serverless Computing for Data Science

12 Playgrounds

49 Illustrations

Takeaway Skills

An understanding of serverless computing

Mastery over the use of the Serverless framework in conjunction with the Amazon Web Services (AWS) cloud

The ability to dockerize a machine learning model

Hands-on experience building an end-to-end machine learning pipeline in AWS

Mastery over the use of AWS Lambda Functions and Step Functions in the context of data science

Course Overview

Serverless computing makes the life of a developer easy by eliminating the pains of managing servers. You only need to write code—the serverless cloud services, such as AWS Lambda Functions, take care of infrastructure on their own. The Serverless framework provides easy to use commands and dashboards to make it even easier to use cloud services. In this course, you’ll learn what serverless computing is and how the Serverless framework works. You’ll then get hands-on experience developing and deploying an ...Show More

Course Content

1

Basics of Serverless Computing

Course Overview

Serverless Implementation in AWS and the Serverless Framework

Hands-On: Deploy the Serverless Application and Inspect it in AWS Multiple Lambda Functions - Configuring Providers and Plugins Multiple Lambda Functions---Configuring Layers and Deployment Hands-On: Multiple Lambda Functions Using Layers Quiz: Serverless Computing Exercise: Deploy the Basic HTTP API Solution: Deploy the Basic HTTP API

2

ML Model Dockers in AWS Lambda

ML as a Service (MLaaS)Custom ML Dockers Images in AWS Lambda Hands-On: Custom ML Docker Images in AWS Lambda Quiz: ML Model in AWS Lambda Exercise: Train and Evaluate ML Model Solution: Train and Evaluate ML Model

3

Serverless Architecture for Data Science

Introduction Example of a serverless ML Pipeline in AWS Hands-On: Serverless ML Pipeline in AWS Quiz: Serverless Architecture Exercise: ML Model Using AWS Step Functions Solution: ML Model Using AWS Step Functions

4

Conclusion

5

Appendix

Resources Installations and Credential Management Are Things Working

COURSE AUTHOR

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