Our hands-on labs allow you to practice with AWS in a live sandbox environment. This year, we’re offering Hands-on Labs with first-come, first-serve access to labs and Spotlight Labs with reserved seating to guided lab deep dives.
In Hands-on Labs, choose from 120+ lab topics and learn at your own pace as you walk through step-by-step scenarios. Lab topics range in level from introductory to expert, and take approximately 30 to 60 minutes to complete. Registration is not required; walk-ups are welcome.
In Spotlight Labs, an AWS Instructor will guide you step-by-step through a lab. Spotlight Lab sessions are 90 minutes long, and with limited seating, we recommend you reserve a seat in advance. Reserved seating coming soon.
Spotlight Lab - Analyze Big Data with Hadoop
In this lab, you will launch a fully functional Hadoop cluster using Amazon EMR and analyze sample log data stored on Amazon S3.
TUESDAY, NOV. 28 | 8:00AM
Spotlight Lab - Working with Amazon Redshift
In this lab, you will launch and work with an Amazon Redshift cluster to analyze USA Domestic flight data.
TUESDAY, NOV. 28 | 10:00AM
Spotlight Lab - Advanced Amazon Redshift: Table Layout and Schema Design
In this lab, you will take a close look at different types of table layouts and schema designs. You will create tables using various methods for data compression and distribution, and analyze which methods work best, including incorporating Amazon Redshift recommendations. You will conclude the lab by building five different versions of the same table, and analyzing how the differences impact performance.
TUESDAY, NOV. 28 | 1:00PM
Spotlight Lab - Advanced Amazon Redshift: Analytics and Amazon Machine Learning
In this lab, you will build a smart solution using Amazon Redshift and Amazon Machine Learning that predicts delays for flights originating in Chicago’s O’Hare International Airport. You will learn how to analyze large amounts of data using Redshift. Then you will practice using Machine Learning to create a model that will predict flight delays.
TUESDAY, NOV. 28 | 3:30PM
Spotlight Lab - Deploy a .NET Sample Application Using AWS Elastic Beanstalk
In this lab, you will launch a .NET application environment using AWS Elastic Beanstalk and Amazon Relational Database Service. You will also use the AWS Toolkit for Visual Studio to publish your web application to AWS Elastic Beanstalk.
WEDNESDAY, NOV. 29 | 8:00AM
Spotlight Lab - Windows Server Website Hosting on AWS: Getting Started
In this lab you, will use a pre-configured environment to demonstrate how to use Auto Scaling and Elastic Load Balancing (ELB) to deploy a website with high availability. It will also introduce you to hosting Windows Server Website on AWS using Microsoft IIS on Windows Server 2012 R2.
WEDNESDAY, NOV. 29 | 10:00AM
Spotlight Lab - Using AWS Systems Manager for Microsoft System Center Virtual Machine Manager
In this lab, you will connect to AWS instances from SCVMM ( Microsoft System Center Virtual Machine Manager) and perform common maintenance tasks such as creating, restarting, stopping and removing instances.
WEDNESDAY, NOV. 29 | 1:00PM
Spotlight Lab - To Be Announced
WEDNESDAY, NOV. 29 | 3:00PM
Spotlight Lab - Launching and Managing a Web Application with AWS CloudFormation
In this lab, you will learn how to use AWS CloudFormation to provision and update a web application with a number of supporting AWS products and services, including Auto Scaling groups, Amazon Elastic Cloud Compute (EC2) instances, and Elastic Load Balancing.
THURSDAY, NOV. 30 | 8:00AM
Spotlight Lab - Managing IoT Sensor Data with Amazon ElastiCache for Redis
In this lab, you will simulate temperature sensor readings and capture, then ingest and analyze that data with Amazon ElastiCache for Redis.
THURSDAY, NOV. 30 | 10:00AM
Spotlight Lab - Deploy an End-to-End IoT Application
In this lab, you will connect virtual things using AWS IoT, publish messages and visualize real-time data using a serverless web application leveraging AWS Lambda, Amazon API Gateway and Amazon S3.
THURSDAY, NOV. 30 | 1:00PM
Spotlight Lab - To Be Announced
THURSDAY, NOV. 30 | 3:00PM