In this course, students will be able to:

• 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 account 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 for selecting 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 to 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 project-based facilitator-guided lab 

Day 1

Module 0: Introductions & Course Map review

• Welcome and course outcomes

Module 1: Architecting Fundamentals Review

• AWS Services and Infrastructure
• Infrastructure Models
• AWS API Tools
• Securing your infrastructure
• The Well-Architected Framework

Module 2: Account Security

• Security Principals
• Identity and Resource-Based Policies
• Account Federation
• Introduction to Managing Multiple Accounts

Module 3: Networking, Part 1

• IP Addressing
• Amazon Virtual Private Cloud (VPC), Patterns and Quotas
• Routing
• Internet Access
• Network Access Control Lists (NACLs)
• Security Groups

Module 4: Compute

• Amazon Elastic Cloud Compute (EC2)
• EC2 Instances and Instance Selection
• High Performance Computing on AWS
• Lambda and EC2, When to Use Which
• Hands-On Lab: Build Your Amazon VPC Infrastructure

Day 2

Module 5: Storage

• Shared File Systems
• Shared EBS Volumes
• Amazon S3, Security, Versioning and Storage Classes
• Data Migration Tools

Module 6: Database Services

• AWS Database Solutions
• Amazon Relational Database Services (RDS)
• DynamoDB, Features and Use Cases
• Redshift, Features, Use Cases and Comparison with RDS
• Scaling
• Caching and Migrating Data
• Hands-on Lab: Create a Database Layer in Your Amazon VPC Infrastructure

Module 7: Monitoring and Scaling

• Monitoring: CloudWatch, CloudTrail, and VPC Flow Logs
• Invoking Events
• Elastic Load Balancing
• Auto Scaling Options and Monitoring Cost
• Hands-on Lab: Configure High Availability in Your Amazon VPC

Module 8: Automation

• CloudFormation
• AWS Systems Manager

Module 9: Containers

• Microservices
• Monitoring Microservices with X-Ray
• Containers

Day 3

Module 10: Networking Part 2

• VPC Peering & Endpoints
• Transit Gateway
• Hybrid Networking
• Route 53

Module 11: Serverless Architecture

• Amazon API Gateway
• Amazon SQS, Amazon SNS
• Amazon Kinesis Data Streams & Kinesis Firehose
• Step Functions
• Compare Amazon SQS to Amazon MQ
• Hands-on Lab: Build a Serverless Architecture

Module 12: Edge Services

• Amazon CloudFront
• AWS Web Application Firewall (WAF), DDoS and Firewall Manager
• Compare AWS Global Accelerator and Amazon CloudFront
• AWS Outposts
• Hands-On Lab: Configure an Amazon CloudFront Distribution with an Amazon S3 Origin

Module 13: Backup and Recovery

• Planning for Disaster Recovery
• AWS Backup
• Recovery Strategies

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

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

• AWS Cloud Practitioner Essentials
• 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

This course teaches you how to:

• Make architectural decisions based on the AWS-recommended architectural principles and best practices.
• Leverage AWS services to make your infrastructure scalable, reliable, and highly available.
• Leverage AWS managed services to enable greater flexibility and resiliency in an infrastructure.
• Make an AWS-based infrastructure more efficient in order to increase performance and reduce costs.
• Use the Well-Architected Framework to improve architectures with AWS solutions.

This course is intended for solutions architects, solution-design engineers, developers seeking an understanding of AWS architecting and individuals seeking the AWS Solutions Architect-Associate certification.

Since it's offered on the weekend, it fits for those who can't attend during the work week.

The optional day enables further practice in skill learned. 

AWS Jam

• Play: Work to complete challenges across common AWS use-cases and operational tasks to earn points. Compete with rivals for the coveted top place on the leaderboard.
• Apply: Advance your cloud adoption journey by solving challenges designed to teach and reinforce AWS best practices taught in the class.
• Validate: Get points for solving challenges using AWS provided infrastructure. Confirm your learning to apply established best practices. Compare your performance against your peers!

Exam Prep:

• Answer sample exam questions together.