Course Objectives

• Identify AWS architecting basic practices.
• Explore using the AWS management tools: The AWS Console, Command Line Interface (CLI), and CloudFormation in a lab environment.
• Examine the enforcement of accounts security using policies.
• Identify the elements that build an elastic, secure, virtual network that includes private and public subnets.
• Practice building an AWS core networking infrastructure.
• Determine strategies for a layered security approach to Virtual Private Cloud (VPC) subnets.
• Identify strategies to select the appropriate compute resources based on business use-cases.
• Practice building a VPC and adding an Elastic Cloud Compute (EC2) instance in a lab environment.
• Practice installing an Amazon Relational Database Service (RDS) instance and an Application Load Balancer (ALB) in the VPC you created.
• Compare and contrast AWS storage products and services, based on business scenarios.
• Compare and contrast the different types of AWS database services based on business needs.
• Practice building a highly available, auto-scaling database layer in a lab.
• Explore the business value of AWS monitoring solutions.
• Identify and discuss AWS automation tools that will help you build, maintain and evolve your infrastructure.
• Discuss network peering, VPC endpoints, gateway and routing solutions based on use-cases.
• Discuss hybrid networking configurations to extend and secure your infrastructure.
• Discuss the benefits of microservices as an effective decoupling strategy to power highly available applications at scale.
• Explore AWS container services for the rapid implementation of an infrastructure-agnostic, portable application environment.
• Identify the business and security benefits of AWS serverless services based on business examples.
• Practice building a serverless infrastructure in a lab environment.
• Discuss the ways in which AWS edge services address latency and security.
• Practice building a CloudFront deployment with an S3 backend in a lab environment.
• Explore AWS backup, recovery solutions, and best practices to ensure resiliency and business continuity.
• Build a highly available and secure cloud architecture based on a business problem, in a projectbased facilitator-guided lab.

Prerequisites

We recommend that attendees of this course have the following prerequisites:

• AWS Cloud Practitioner Essentials, or
  • Working knowledge of distributed systems
  • Familiarity with general networking concepts
  • Familiarity with IP addressing
  • Working knowledge of multi-tier architectures
  • Familiarity with cloud computing concepts

Course Content

• Module 0: Introductions & Course Map review
• Module 1: Architecting Fundamentals Review
• Module 2: Account Security
• Module 3: Networking, Part 1
• Module 4: Compute
• Module 5: Storage
• Module 6: Database Services
• Module 7: Monitoring and Scaling
• Module 8: Automation
• Module 9: Containers
• Module 10: Networking Part 2
• Module 11: Serverless Architecture
• Module 12: Edge Services
• Module 13: Backup and Recovery
• Capstone Lab: Build an AWS Multi-Tier Architecture
  • Participants review the concepts and services learned in class and build a solution based on a scenario. The lab environment provides partial solutions to promote analysis and reflection. Participants deploy a highly available architecture. The instructor is available for consultation.

You can find more information about this training on our website.