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Mastering Serverless Computing for Data Science

Delve into serverless computing, develop AWS Lambda Functions, and deploy an end-to-end machine learning pipeline. Gain insights into efficiently managing ML applications without infrastructure concerns.

Intermediate

26 Lessons

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

12 Playgrounds

Course Overview

What You'll Learn

Course Content

Apply Your Skills

Recommendations

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

Serverless computing makes the life of a developer easy by eliminating the pains of managing servers. You only need to write cod...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

An understanding of serverless computing

Course Content

Basics of Serverless Computing

10 Lessons

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

6 Lessons

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

6 Lessons

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

1 Lessons

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

Final Words

Appendix

3 Lessons

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

Resources

Installations and Credential Management

Are Things Working

Course Author

Konrad Semsch

Cloud Lab

Getting Started with AWS Step Functions

beginner

2 hour

Cloud Lab

Getting Started with AWS Step Functions

Learn to use AWS Step Function to create a state machine that completes execution based on a user’s response to an action

beginner

2 hours

Cloud Lab

Step Functions Application Patterns for Lambda Orchestration

advanced

3 hour

Cloud Lab

Step Functions Application Patterns for Lambda Orchestration

In this Cloud Lab, you’ll learn to optimize your workflows by orchestrating Lambda functions using AWS Step Functions application patterns.

advanced

3 hours

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