The AWS course is designed to help you gain in-depth understanding about AWS architectural principles and services. You will learn how cloud computing is redefining the rules of IT infrastructure architecture, as well as how to design, plan, and scale your AWS Cloud implementation with best practices recommended by Amazon.
The course begins with an overview of the AWS platform before diving into its individual elements: IAM, VPC, EC2, EBS, ELB, CDN, S3, EIP, KMS, Route 53, RDS, Glacier, Snowball, Cloudfront, Dynamo DB, Redshift, Auto Scaling, Cloudwatch, Elastic Cache, CloudTrail, and Security.
The course will help you learn the terminology, latest trends, and best practices of the field—and become industry-ready to help you qualify for a position as a high-quality AWS professional.
This course will make you exam-ready for the AWS Solution Architect Associate certification and will enable you to leverage your skills and expertise involving advanced cloud-based solutions, and migrating existing workloads to the cloud.
By the end of this training you will be able to:
Formulate solution plans and provide guidance on architectural best practices
Design and deploy scalable, highly available, and fault tolerant systems on AWS
Identify the lift and shift of an existing on-premises application to AWS
Decipher the ingress and egress of data to and from AWS
Select the appropriate AWS service based on data, compute, database, or security requirements
Identify appropriate use of AWS architectural best practices
Estimate AWS costs and identifying cost control mechanisms
AWS Training Lab is a cloud-based AWS console environment lab that offers along with the course to ensure a hassle-free execution of the hands-on project work you’ll complete in the AWS course.
With AWS Training Lab, you need not register with the AWS console. Instead, you’ll be able to access a preconfigured environment—on AWS Training Lab—via your browser. This simulates the AWS console in use today.
You’ll have access to AWS Training Lab for the duration of the course.
Project 1
Create a custom VPC with public and private subnets on two availability zones and launch instances into each subnet
Project 2
Launch two web servers and configure a load balancer and auto scaling
Project 3
Configure RD Gateway on a VPC with a public and private subnet