Mastering Serverless Computing for Data Science

Explore serverless computing with AWS Lambda, deploy ML pipelines, and manage applications efficiently without infrastructure worries.

Intermediate

26 Lessons

Certificate of Completion

Explore serverless computing with AWS Lambda, deploy ML pipelines, and manage applications efficiently without infrastructure worries.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

12 Playgrounds

This course includes

12 Playgrounds

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

What You'll Learn

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

What You'll Learn

An understanding of serverless computing

Course Content

Basics of Serverless Computing

Step through AWS Lambda to manage single-purpose, stateless functions with serverless applications.

Course Overview

Introduction

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

ML Model Dockers in AWS Lambda

Solve challenges with deploying ML models using Docker in AWS Lambda efficiently.

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

Serverless Architecture for Data Science

Examine serverless architectures for data science applications using AWS tools and orchestration.

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

Conclusion

Find out about serverless application development for machine learning model serving using AWS.

Final Words

Appendix

Solve problems in configuring AWS and Serverless environments for data science solutions.

Resources Installations and Credential Management Are Things Working

Scalable Machine Learning Model for Accurate Predictions on AWS

Project

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

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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