0% completed

All LessonsFree Lessons (4)

Basics of Serverless Computing

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

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

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

Appendix

Installations and Credential Management

Are Things Working

Project

Scalable Machine Learning Model for Accurate Predictions on AWS

Mastering Serverless Computing for Data Science/

...

/

Resources

Resources

In this lesson, we briefly touch on setups and code files.

We'll cover the following...

Setup
- Author's note (optional)

Setup

There are a few things we need to do before getting started with the implementation of data science solutions in a serverless framework. A brief summary of the accounts and services needed for this course is given below, along with links. Detailed step-by-step instructions have been provided. ...