Architecting on AWS - Official AWS 3-day Instructor-Led Training Content

About
Course description
Architecting on AWS is for those seeking an understanding of AWS architecting. In this course, you will learn to identify services and features to build resilient, secure, and highly available IT solutions on the AWS Cloud.
Our AWS Authorized Instructors emphasize best practices using the AWS Well-Architected Framework, and guide you through the process of designing optimal IT solutions based on real-life scenarios. The modules focus on account security, networking, compute, storage, databases, monitoring, automation, containers, serverless architecture, edge services, and backup and recovery. At the end of the course, you will practice building a solution and apply what you have learned.
• Course: level: Intermediate
• Duration: 3 days
• Delivery: Instructor-Led Training (In person or Virtual)
Course objectives
Identify AWS architecting basic practices
Summarize the fundamentals of account security
Identify strategies to build a secure virtual network that includes private and public subnets
Practice building a multi-tier architecture in AWS
Compare and contrast AWS storage products and services based on business scenarios
Identify the role of monitoring, load balancing, and auto scaling responses based on business needs
Identify and discuss AWS automation tools that will help you build, maintain, and evolve your infrastructure
Discuss hybrid networking, network peering, and gateway and routing solutions to extend and secure your infrastructure
Identify the business and security benefits of AWS serverless services based on business examples
Discuss ways in which AWS edge services address latency and security
Explore AWS backup, recovery solutions, and best practices to ensure resiliency and business continuity
Intended audience
Solution architects
Solution-design engineers
Developers seeking an understanding of AWS architecting
Individuals seeking the AWS Solutions Architect-Associate certification
Prerequisites
Completed AWS Cloud Practitioner Essentials or AWS Technical Essentials
Working knowledge of distributed systems and multi-tier architectures
Familiarity with general networking concepts and with cloud computing concepts
Familiarity with IP addressing
Course outline
Day 1
Module 1: Architecting Fundamentals
AWS services
AWS infrastructure
AWS Well-Architected Framework
Hands-on lab: Explore and interact with the AWS Management Console and AWS Command Line Interface
Module 2: Account Security
Principals and identities
Security policies
Managing multiple accounts
Module 3: Networking 1
IP addressing
VPC fundamentals
VPC traffic security
Module 4: Compute
Compute services
EC2 instances
Storage for EC2 instances
Amazon EC2 pricing options
AWS Lambda
Hands-On Lab: Build your Amazon VPC infrastructure
Day 2
Module 5: Storage
Storage services
Amazon S3
Shared file systems
Data migration tools
Module 6: Database Services
Database services
Amazon RDS
Amazon DynamoDB
Database caching
Database migration tools
Hands-on Lab: Create a database layer in your Amazon VPC infrastructure
Module 7: Monitoring and Scaling
Monitoring
Alarms and events
Load balancing
Auto scaling
Hands-on Lab: Configure high availability in your Amazon VPC
Module 8: Automation
AWS CloudFormation
Infrastructure management
Module 9: Containers
Microservices
Containers
Container services
Day 3
Module 10: Networking 2
VPC endpoints
VPC peering
Hybrid networking
AWS Transit Gateway
Module 11: Serverless
What is serverless?
Amazon API Gateway
Amazon SQS
Amazon SNS
Amazon Kinesis
AWS Step Functions
Hands-on Lab: Build a serverless architecture
Module 12: Edge Services
Edge fundamentals
Amazon Route 53
Amazon CloudFront
DDoS protection
AWS Outposts
Hands-On Lab: Configure an Amazon CloudFront distribution with an Amazon S3 origin
Module 13: Backup and Recovery
Disaster planning
AWS Backup
Recovery strategies
Hands-on Lab: 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,
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