Become an AWS pro by learning to run serverless applications with AWS Lambda. Developed by AWS Solution Certified Architects. Get hands-on, no setup, no cleanup, no hassle.

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In the world of modern development, serverless computing has become table stakes. Serverless computing has seen a major uptake with AWS Lambda having an increased adoption of 667% in 2018. Companies are making the switch to serverless for shorter time to market and decreased operational costs, but for you the advantage lies in the ability to offload the burden of managing infrastructure to serverless platforms, so you can focus on building even better apps.

In this course, you will learn how to run serverless applications using AWS Lambda. You’ll start with the basics such as creating a web service where you’ll learn the steps to deploy an AWS Serverless Application Model (SAM). You’ll then move on to more advanced topics such as handling HTTP Requests, using external storage, and managing sessions and user workflows. By the end of this course, you will be ready to work with AWS Lambda in a professional setting, and you’ll have a great, transferable skill that employers will love to see.

Running Serverless Applications with AWS Lambda

Select all benefits of using AWS Lambda for a serverless application:

Select all benefits of using AWS Lambda for a serverless application:

Select all the factors on which the Lambda pricing depends:

Select all the factors on which the Lambda pricing depends:

According to the Lambda pricing model, you have to pay extra for the staging and testing environments even if they are idle.

According to the Lambda pricing model, you have to pay extra for the staging and testing environments even if they are idle.

You cannot choose your type of processor. 

You cannot execute a task beyond a certain time limit. 

You cannot deploy new features and updates frequently. 

The latency of processing a single request isn’t really deterministic.

Which of the following is NOT a technical limitation of using AWS Lambda?

Which of the following is NOT a technical limitation of using AWS Lambda?

I want to build an application that tracks vehicles and transmits their location coordinates to a server. The application will track a vehicle using computer vision technology (which processes dynamic images), detects the vehicle from camera images, and tracks its location. It must transmit the coordinates immediately to the server so that the server knows the exact location of the vehicle before it moves from that location. Is it advisable to use AWS Lambda for this application given the technical constraints?

I want to build an application that tracks vehicles and transmits their location coordinates to a server. The application will track a vehicle using computer vision technology (which processes dynamic images), detects the vehicle from camera images, and tracks its location. It must transmit the coordinates immediately to the server so that the server knows the exact location of the vehicle before it moves from that location. Is it advisable to use AWS Lambda for this application given the technical constraints?

It's quiz time! Answer the following questions to test your knowledge and understanding.

Getting Started

Setup Tools for Local Development

Creating a Web Service

Host a Serverless Application on AWS Lambda

Development and Troubleshooting

Core Features of AWS Lambda

Handling HTTP Requests

Using External Storage

Cheaper, Faster, Serverless

Handling Platform Events

Using Application Components

Managing Sessions and User Workflows

Designing Robust Applications

Deployment Options

Process Amazon SNS Notifications with AWS Lambda

Quiz