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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

Resources Installations and Credential Management Are Things Working

Project

Scalable Machine Learning Model for Accurate Predictions on AWS

Mastering Serverless Computing for Data Science/

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Quiz: ML Model in AWS Lambda

Quiz: ML Model in AWS Lambda

Test your knowledge of the ML model in AWS Lambda.

We'll cover the following...

Technical Quiz

1.

(True or False) When dealing with irregular and sporadic prediction requests, we should prefer AWS Lambda over a VM.

A.

True

B.

False

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