SkillSoft Explore Course – Lambers, Inc.

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

A fundamental aspect of cloud development is choosing the most suitable serverless computing framework provider and serverless environment development language for your serverless application project.

Use this course to identify the languages used for serverless application development and the prominent serverless computing systems and their languages and runtimes.
Getting hands-on, use the three most popular serverless computing services to set up local development environments. Then, deploy a reporting service using Serverless Framework Open Source CLI and serverless Azure Functions using Python and Visual Studio Code.
When you're done with this course, you'll be equipped with the know-how to choose the ideal serverless computing provider and language for your deployment tasks.

Asset ID	it_slcscddj_01_enus
Course Type	Video Course
Course Category	Serverless Deployments for Developers

Objectives
Serverless Cloud Development: Runtime Environments discover the key concepts covered in this course list the major serverless providers and the popular serverless frameworks that enable developers to explore the aspects of serverless computing recall the languages that can be used to develop serverless applications for diversified serverless providers compare the prominent AWS Lambdaâsupported languages from the perspective of cold start performance, warm performance, cost, and ecosystem recognize the types of Cloud Functions provided by GCP to implement serverless applications along with the language runtimes supported by GCP to write Cloud Functions describe the features of Azure Functions and outline how to select the right programming language to implement Azure Functions Runtime set up a local development environment to build serverless applications using AWS and prominent open source tools set up a local development environment for Google Cloud Functions to manage Cloud Functions deployment and use for local testing and debugging set up a local development environment to create, test, and debug Azure Functions app projects create and deploy serverless Azure Functions in Python using Visual Studio Code install Serverless Framework Open Source CLI and deploy a sample service in the cloud that reports deployment information and operational metrics to the Serverless Framework dashboard summarize the key concepts covered in this course

Objectives

Serverless Cloud Development: Runtime Environments

discover the key concepts covered in this course
list the major serverless providers and the popular serverless frameworks that enable developers to explore the aspects of serverless computing
recall the languages that can be used to develop serverless applications for diversified serverless providers
compare the prominent AWS Lambdaâsupported languages from the perspective of cold start performance, warm performance, cost, and ecosystem
recognize the types of Cloud Functions provided by GCP to implement serverless applications along with the language runtimes supported by GCP to write Cloud Functions
describe the features of Azure Functions and outline how to select the right programming language to implement Azure Functions Runtime
set up a local development environment to build serverless applications using AWS and prominent open source tools
set up a local development environment for Google Cloud Functions to manage Cloud Functions deployment and use for local testing and debugging
set up a local development environment to create, test, and debug Azure Functions app projects
create and deploy serverless Azure Functions in Python using Visual Studio Code
install Serverless Framework Open Source CLI and deploy a sample service in the cloud that reports deployment information and operational metrics to the Serverless Framework dashboard
summarize the key concepts covered in this course