Amazon offers more than 70 unique services, spanning across many different categories such as storage, compute, artificial intelligence, game development, and business productivity. We’re here to help you learn them all! Even if you’re an experienced AWS user, there’s always more to learn. Check out our newest AWS training Courses below!

With live AWS Cloud Consoles and Cloud Servers, you can safely practice your new skills in different cloud computing environments that can be customized to suit your training needs. Linux Academy is the only place where you can spin up real AWS environments and practice your new skills and play around with different cloud environments at no extra cost nor resources (all available with your membership)!

Which Course or Hands-On Lab will you take first? Let us know with #ReleaseTheTraining, and enter to win a free year of Linux Academy here!

New Hands-On AWS Training Courses

Amazon EKS Deep Dive

with Mark Richman

  • 6.5 Hours of Learning
  • 4 Hands-On Labs
  • 21 Course Videos
  • 28 Flash Cards

Explore Amazon Elastic Container Service for Kubernetes (Amazon EKS), from the very basics of its configuration to an in-depth review of its use cases and advanced features. Learn how EKS is architected in order to provide a better understanding of managing container-based applications at scale. Dive into the configuration, management, and deployment of a microservices-based application in EKS.

Solidify what you learn through the interactive diagram accompanying this course, The EKS Manifest.

Hands-On Labs in this course:

  • Creating an EKS Cluster in AWS
  • Deploying an Application to EKS
  • Autoscaling an EKS Cluster
  • Capturing EKS API Calls with CloudTrail

Enroll in this Course!


 

AWS Certified Big Data Specialty Course – NEW Hands-On Labs

with Fernando Medina Corey

  • 22.75 Hours of Learning
  • 8 New Hands-On Labs
  • 78 Course Videos
  • 136 Flash Cards

Big data is one of the most exciting and in-demand skills, powering large companies such as Google and Facebook. This in-depth course will provide the knowledge you need in order to be prepared for taking the AWS Big Data Specialty Certification. We will explore the various big data products available, and build highly scalable and secure big data applications. Take a look at the new hands-on Labs we just added to this Course!

Hands-On Labs in this course:

  • NEW: Configuring Your First IoT Device
  • NEW: Building a Pipeline to Ingest and Analyze Streaming Data
  • NEW: Configuring DynamoDB Streams
  • NEW: DynamoDB Read Operation Performance
  • NEW: DynamoDB Tables and Global Secondary Indexes
  • NEW: Training Machine Learning Models with PageMaker
  • NEW: Migrating Redshift Data to and from S3
  • NEW: Preparing S3 Data for Public Visualizations
  • Creating and Configuring Kineses Streams and Kineses Firehose in AWS
  • Migrating a Database Using DMS
  • Creating DynamoDB tables
  • Querying EMR Using Hive
  • Creating and Using a SageMaker Notebook
  • Analyzing and Visualizing Data with AWS Elasticsearch Service and Kibana

 

Start this Course to take the Hands-On Labs and get certified!


 

Introduction To Cloud Migration Using Amazon Web Services

with Craig Arcuri

  • 3.25 Hours of Learning
  • 27 Course Videos
  • 39 Flash Cards

Learn about performing cloud migrations through virtual machine migration and database migration in this course. Follow along in your own AWS environment, provided by us, to better grasp the concepts. Gain a solid foundation in cloud migration and the skills to move forward with more complex cloud migration efforts!

In this course, you’ll learn about:

  • Best practices for migrating to the cloud, as well as specific features of the AWS platform that will support migrating databases and virtual machines to the cloud
  • Database migration and some of the issues that are involved when migrating an on-premises database to the cloud
  • The two major types of migrations, homogeneous and heterogeneous, and some of the issues that are unique to both of these types of migrations
  • The various techniques that can be used to perform virtual machine migrations and details about the different hypervisors from which virtual machines can originate
  • Establishing a solid performance baseline before migration, as well as the importance of documenting your candidate system
  • Planning a good time frame for your migration, and the factors that you need to consider when scheduling your migration window
  • Post-migration steps that are necessary to ensure that your system is operating correctly after the migration has taken place
  • The process of migrating a virtual machine from the AWS command line interface using AWS VM Import/Export
  • And much more!

Enroll in this Course!


 

 

AWS Certified Solutions Architect – Professional 2019 (In development, early preview)

with Adrian Cantrill

  • 22 Hours of Learning
  • 30 Course Videos
  • 20 Hands-On Labs
  • 1 Interactive Diagram

Being able to achieve the AWS CSA Pro level certification is one of the top achievements for any cloud engineer. With that being said, it is also one of the most challenging exams offered by any cloud vendor today. You will need to dedicate a numerous amount of hours studying, taking practice exams, and getting hands-on experience within AWS.

Luckily, we’re here to help you! This Course is designed to guide you through learning the knowledge and services that are required to pass the CSA Professional exam successfully.

Hands-On Labs in this Course:

  • Using AWS Config and CloudFormation to Monitor Your Resources
  • AWS Tagging and Resource Groups
  • USing Web-Identity Federation to Authenticate AWS Account Access for a Remote
  • Accessing S3 with AWS IAM Roles
  • Working with VPC Flow Logs for Network Monitoring in AWS
  • Using Route 53 to configure DNW within an AWS environment
  • Creating NAT Gateways and VPC S3 Endpoints
  • Configuring Inter-Region VPC Peering in an AWS environment
  • Using AWS WAF to Protect Against Common Attacks
  • Deploying Docker Containers on Amazon EC2 Instances
  • Using RAID configurations on an AWS EBS volume
  • Using AWS EBS Snapshots to Restore Files to an AWS EBS Volume
  • Creating an Application Load Balancer from the AWS CLI
  • Creating and Configuring a Network Load Balancer in AWS
  • Utilizing Proxy Protocol and Nginx to Solve Problems through the AWS ELB
  • Streaming video with Amazon S3, CloudFront, and Elastic Transcoder
  • Using Cloudformation Templates to Create Complex Environments in AWS
  • Using Data Pipeline to export ad Table from DynamoDB
  • Disaster Recovery Techniques in AWS based on different RTO/RPO
  • Using Auto Scaling for SQS Message Queues to process messages in AWS

Get started on your CSA – Professional journey today!


Amazon Lightsail

Amazon Lightsail Deep Dive

with Adrian Cantrill

  • 10 Hours of Learning
  • 31 Course Videos
  • 5 Hands-On Labs
  • 1 Interactive Diagram

AWS offers a wealth of features allowing an experienced architect, engineer, or developer to implement systems that meet any need. Amazon Lightsail compliments this flexibility by providing a simple, cheap, but powerful way to utilize AWS services. Lightsail is suitable for a wide range of skill levels, from beginners without any AWS experience to power users and developers who need to implement things quickly and efficiently. Learn everything about Lightsail, from the basic concepts to the advanced functionality, that you’ll need to get the most from the product. Follow along with The Lightsail Continuum interactive diagram to solidify what you learn throughout the course.

Hands-On Labs in this Course:

  • Creating and Interacting with a Lightsail Instance
  • Installing and Configuring WordPress in Lightsail
  • Implementing a MEAN App Using Lightsail
  • Scaling a MEAN App in Lightsail Using App Tiers
  • Implementing and Scaling a LAMP App in Lightsail


Develop your cloud skills through hands-on training to advance your career – Start your 7-day free trial or learn how to scale up your IT and DevOps teams to get started on your journey.

January course launch

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