AWS Academy Cloud Computing Architecture

Start date: May 12, 2018
End date: June 16, 2018
Schedule: 9:00 – 5:30 on Saturdays and some Sundays
Dates: May 12, May 13, May 26, May 27, June 2, June 9, June 10, June 16
Duration: 60 hours

This course is open to all students who meet the admission requirements below.

Next group starts

May 12, 2018

Objective
Amazon Web Services Academy logo
Cloud Computing Architecture is an AWS Academy curriculum designed to help students develop technical expertise in cloud computing and prepare them for the AWS Certified Solutions Architect – Associate certification exam. The curriculum is delivered through instructor-led classes, hands-on labs, and project work. Students have access to course manuals, online knowledge assessments, hands-on labs, a free practice certification exam, and a discount voucher for the certification exam.

Cloud Computing Architecture teaches students how to:

  • Identify the value and benefits of cloud computing and AWS
  • Understand methods and tools to maintain security and protect data
  • Explain the financial advantages of the AWS cloud
  • Navigate the AWS Management Console
  • Differentiate between AWS storage options
  • Understand AWS compute and networking options
  • Describe and use AWS database options
  • Identify deployment and management options
  • Make decisions based on recommended architectural principles and best practices
  • Create a cloud migration roadmap and plan
  • Use AWS to make infrastructure scalable
  • Create a business continuity plan and achieve high availability
  • Create event-driven scaling
  • Automate the deployment of cloud resources
  • Design architectures to decouple infrastructure and reduce interdependencies
  • Optimize data storage for static content
  • Identify best practices prescribed in the Well-Architected framework
  • Identify and solve common configuration and design issues
  • Differentiate between architectures for data processing and analytics, mobile back-ends, and video transcoding
  • Understand the AWS Certified Solutions Architect – Associate exam structure and questions

Delivery Method
This curriculum is delivered using a blend of:

  • Instructor-led training
  • Hands-on Labs

Learning Progress
Student progress will be assessed using:

  • Knowledge assessments – 20 online knowledge assessments across the curriculum
  • Hands-on labs – 15 online labs across the curriculum
  • Group discussions
  • Projects – scenario-based exercises consisting of written and lab requirements reinforcing
    topics within the curriculum

Admission Requirements

Cloud Computing Architecture requires a strong foundation in IT concepts and skills. For details of curriculum pre-requisites, see below:

Data Center Concepts

Basic concepts of data center design philosophies, architecture, and operation of modern data centers, including:

  • Hardware (servers, racks, storage, and networking devices)
  • Software (virtualization)
  • Connectivity (backbones and peering)
  • Offsite backup services

Networking

  • Understand typical networking devices (e.g., switches, routers), protocols (e.g., Ethernet, IPv4 protocol stack, HTTP), and services (e.g., DNS, DHCP)
  • Know how to configure IP settings on common operating systems and devices
  • Understand networking subnetting
  • Describe common network appliances (e.g., firewall, load balancer, and proxy) and their functions

Servers and Systems Administration

  • Install and manage Windows or Linux operating systems, manually or unattended
  • Install applications, manually and via packaged deployments (e.g., RPM, MSI or yum)
  • Manage system security by administering users and groups, assigning permissions to resources, and configuring personal firewalls
  • Preferred: Understand distributed systems concepts including fault tolerance, high availability, configuration management, and automation

Storage

  • Understand common storage architecture and concepts related to servers and application environments (e.g., RAID, clustering)
  • Differences between types of storage (e.g., file, block)
  • Preferred: How file systems work (e.g., NTFS or ext4)

Security

  • Understand common methods used to secure data centers, including:
    • Access control and identity management
    • Securing data in transit (e.g., SSH, SSL or TLS) and at rest (e.g., AES or SHA)

Databases

  • Conceptual understanding of common database technologies and solutions, including:
    • Relational (e.g., MySQL, Microsoft SQL Server or Oracle SQL)
    • NoSQL (e.g., Cassandra or MongoDB)
    • Preferred: Distributed frameworks (e.g., Apache Hadoop, Apache Spark or Presto)

Preferred: Scripting and Configuration Management

  • Comfortable reading scripts in one or more scripting languages (e.g., Bash, Python, Java, C#, Ruby or PowerShell)
  • Conceptual knowledge of configuration management solutions (e.g., Puppet or Chef)

Preferred: Application Development

  • Conceptual understanding on how applications are built, and the tools and methods used to manage development, such as:
    • Version control solutions (e.g., Git, Perforce or BitBucket)
    • Development tools (e.g., code review solutions and development collaboration solutions)

Outline

UNIT 1: Introduction to Cloud Computing

  • What is Cloud Computing?
  • Leveraging Cloud Computing
  • Cloud Economics and Total Cost of Ownership

UNIT 2: Getting Started with AWS

  • AWS Compute, Storage, and Networking
    • Lab: Working with Amazon Elastic Block Store (EBS)
    • Lab: Creating Amazon EC2 instances with Microsoft Windows
    • Lab: Build Your Virtual Private Cloud (VPC) and Launch a Web Server
  • AWS Security, Identity, and Access Management
    • Lab: Introduction to AWS Identity and Access Management (IAM)
  • AWS Database Options
    • Lab: Build Your Database Server and Interact with Your Database using an Application
  • AWS Elasticity and Management Tools
    • Lab: Scale and Load Balance Your Architecture

UNIT 3: Architecting on AWS

Part 1: Introduction to System Design

  • AWS Essentials Review
  • Designing Your Environment
    • Lab: Deploy a Web Application on AWS
    • Group discussion: Forklift an Existing Application onto AWS
  • System Design for High Availability (Part I & II)
    • Lab: Making Your Environment Highly Available

Part 2: Automation and Serverless Architectures

  • Event-Driven Scaling
    • Lab: Using Auto Scaling with AWS Lambda and Lifecycle Hooks
  • Automating Your Infrastructure
    • Lab: Creating an Amazon VPC with AWS CloudFormation

Mid-curriculum project

  • Decoupling Your Infrastructure
  • Designing Web-Scale Storage
    • Lab: Caching Static Files with Amazon CloudFront
    • Lab: Implementing a Serverless Architecture with AWS Managed Services
    • Group discussion: Build an Environment for a New Web Application

Part 3: Well-Architected Best Practices

  • Introducing the Well-Architected Framework
  • Well-Architected Pillar 1: Security
  • Well Architected Pillar 2: Reliability
    • Lab: Multi-Region Failover with Amazon Route 53
  • Well Architected Pillar 3: Performance Efficiency
  • Well Architected Pillar 4: Cost Optimization
    • Lab: Launching EC2 Spot Instances with Auto Scaling and Amazon CloudWatch

Part 4: Deployment and Implementation

  • Troubleshooting
  • Design Patterns and Sample Architectures
    • Lab: Using AWS Services to Enhance a Web Application

Final project

 

Cost

  • 2,800$ (or 2,600$ for Champlain graduates and current students)

Interested?