SkillSoft Explore Course – Lambers, Inc.

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Aspire Serverless Deployments for Developers Serverless Deployments Track 1: Beginning with Serverless Solutions

There are diverse languages and environments to choose from when building serverless applications. Developers should know which one to employ for which intricate task.
Use the demonstrations in this course to set up REST APIs and HTTP GET endpoints using Serverless, Express, Node.js, Java, Ruby, Python, Maven, and Gradle on AWS and GCP. Furthermore, deploy HTTP Node.js Azure Functions, publish a Java Function project to Azure Functions, deploy and test a sample Serverless app using AWS SAM, and build a Web API using Go and AWS Lambda.
Upon completing this course, you'll be able to conduct various essential serverless application development activities using several prominent services, frameworks, and languages.

Asset ID	it_slcscddj_02_enus
Course Type	Video Course
Course Category	Serverless Deployments for Developers

Objectives
Serverless Cloud Development: Serverless Applications with Diverse Languages & Environments discover the key concepts covered in this course install and configure node dependencies to build and deploy REST APIs using Serverless, Express, and Node.js on AWS convert an existing Node and Express-based application to a Serverless-friendly application in the cloud use Node.js to set up a simple HTTP GET endpoint on GCP deploy a HTTP Node.js Azure Function and demonstrate how to read properties and set a result back to Azure set up a simple HTTP GET endpoint using Java and Maven or Gradle to build serverless applications on AWS set up a simple HTTP GET endpoint using Ruby on AWS to facilitate a serverless mechanism create a simple REST API with Python running on AWS Lambda and API Gateway using the traditional Serverless Framework configure and set up a simple Python HTTP GET endpoint on GCP Cloud Functions build and publish a Java Function project to Azure Functions using the Gradle command-line tool build, deploy, and test a sample serverless application using AWS SAM build a Web API using Go and AWS Lambda evaluate serverless computing environments invoking functions in parallel to demonstrate the performance and throughput of serverless computing for distributed data processing summarize the key concepts covered in this course

Objectives

Serverless Cloud Development: Serverless Applications with Diverse Languages & Environments

discover the key concepts covered in this course
install and configure node dependencies to build and deploy REST APIs using Serverless, Express, and Node.js on AWS
convert an existing Node and Express-based application to a Serverless-friendly application in the cloud
use Node.js to set up a simple HTTP GET endpoint on GCP
deploy a HTTP Node.js Azure Function and demonstrate how to read properties and set a result back to Azure
set up a simple HTTP GET endpoint using Java and Maven or Gradle to build serverless applications on AWS
set up a simple HTTP GET endpoint using Ruby on AWS to facilitate a serverless mechanism
create a simple REST API with Python running on AWS Lambda and API Gateway using the traditional Serverless Framework
configure and set up a simple Python HTTP GET endpoint on GCP Cloud Functions
build and publish a Java Function project to Azure Functions using the Gradle command-line tool
build, deploy, and test a sample serverless application using AWS SAM
build a Web API using Go and AWS Lambda
evaluate serverless computing environments invoking functions in parallel to demonstrate the performance and throughput of serverless computing for distributed data processing
summarize the key concepts covered in this course