Faça treinamentos práticos e torne-se um especialista no Amazon Web Services.
Você receberá credenciais temporárias para Amazon Web Services. Dessa forma, poderá conhecer a nuvem na prática, sem simulações. De laboratórios individuais de 30 minutos até cursos de vários dias, do nível iniciante até o especialista, conduzidos por instrutor ou autoguiados, com tópicos que abrangem aprendizado de máquina, segurança, infraestrutura, desenvolvimento de apps e muito mais. Nós temos a solução certa para você.
Introduction to Amazon EC2 Auto Scaling
This lab provides the basic hands-on experience of Amazon EC2 Auto Scaling -- setting up Auto Scaling to automatically launch compute instances in response to conditions that you specify. You will use Auto Scaling via the AWS console to create the basic infrastructure of a Launch Configuration and an Auto Scaling group. You will test the configuration by terminating a running instance and viewing the results as Auto Scaling responds by scaling up and starting another instance.
For the lab to function as written, please DO NOT change the auto assigned region.
Exploring Google Ngrams with Amazon EMR
This lab demonstrates how to launch an Amazon Elastic MapReduce (EMR) cluster for Big Data processing and use Hive with SQL-style queries to analyze data. You will create a Hadoop cluster using Amazon EMR which will allow to run interactive Hive queries against data stored in Amazon S3. You will use Hive to normalize the data in a more useful way, and you will run queries to analyze the data.
Creating an Amazon Virtual Private Cloud (VPC) with AWS CloudFormation
This lab will demonstrate how to create an Amazon Virtual Private Cloud (VPC) network using AWS CloudFormation. Note: This lab is a more of a walkthrough of a template rather than "learn how to build it". You will walk through the sections of an AWS CloudFormation template and get explanations for each step. You will then launch the AWS CloudFormation template to create a four-subnet Amazon VPC that spans two Availability Zones and a NAT that allows servers in the private subnets to communicate with the Internet in order to download packages and updates.
Introduction to Amazon Simple Storage Service (S3)
This lab demonstrates how to use an Amazon S3 bucket and manage files, or object, that are stored in the bucket. You will practice how to create a bucket, add an object, view an object, move an object, and delete an object and bucket in the AWS Management Console.
Using AWS Lambda with Amazon CloudWatch and SNS to Implement a Slack Chat Bot
In this lab you will build a chat bot for Slack, using a Lambda blueprint. Chat bots have the ability to interact with teams and users, respond to commands, and post notifications, giving all conversation participants visibility into team activities. You will build a bot that posts CloudWatch alarms to your Slack channel. Prerequisites: To successfully complete this lab, you should be familiar with AWS Lambda and Amazon CloudWatch through taking the introductory labs. You will need to have or create an account with the online service Slack to complete this lab-- instructions are provided. Familiarity with Slack is helpful, though not required.
Working with Alexa: Build a Trivia Skill
In this lab, you will build a web service to handle notifications from Alexa and map this service to a Skill in the Amazon Developer Portal. You will create a Trivia skill using sample code for this lab, which you can use as a template for your own skill after completing the lab. You can make this skill available on your device and to all Alexa users after certification. You will use both the AWS Console and the Amazon Developer Portal in this lab. Prerequisites: To successfully complete this lab, you should be familiar with AWS Lambda through taking the "Introduction to Lambda" lab. Familiarity with Node.js programming will be helpful, although full solution code is provided. You will need to have/create a no-cost, no-credit-card-required account in the Amazon Developer Portal. Familiarity with the Amazon Developer Portal and the Alexa Skills Kit is helpful, though not required. You do not need an Alexa device for this lab.
Using Amazon RDS for Applications
This lab will show you how to launch a Drupal Open Souce Content Management System (CMS) with Amazon Relational Database (Amazon RDS) for MySQL as the backend database with a multi-Availability Zone (AZ) deployment.
Build a Serverless Text-to-Speech Application with Amazon Polly
This lab builds a complete serverless application that demonstrates how to convert text-to-speech using Amazon Polly.
Video on Demand with AWS Elemental MediaConvert
In this lab, you will utilize the AWS Elemental MediaConvert Service to convert input video into multiple output formats, combine multiple videos into one during the conversion process, add captions/watermarks to the videos, and work with ad insertion metadata.
Torne-se um especialista em nuvem
Infraestrutura e DevOps
Implemente, implante, migre e mantenha aplicativos na nuvem.
Sites e desenvolvimento de apps
Para engenheiros de software que desenvolvem aplicativos na nuvem.
Projete, crie, analise e otimize soluções de Big Data.
Aprendizado de máquina
Crie modelos de aprendizado de máquina distribuídos que possam ser escalonados.
Segurança, backup e recuperação
Atenda aos requisitos de conformidade e proteja informações, infraestrutura e aplicativos de dados.