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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
Final Words
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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Are Things Working
Are Things Working
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Are things working?
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