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Course Outline
Day 1
Module 1: Account Setup and Access
- Creating a user account
- Introduction to the Amazon Management Console
- Overview of administrative tasks and billing
- Understanding Amazon pricing models
Module 2: The AWS Ecosystem – A High-Level View
- General overview of AWS services
- Introduction to EC2
- Introduction to EBS
- Introduction to Security Groups
- Introduction to Elastic IP
- Introduction to CloudFront
- Introduction to S3
- Introduction to Glacier
- Introduction to IAM
- Introduction to RDS
Module 3: Amazon EC2 – Windows Server 2012 (Practical Lab)
- Launching a Windows Server 2012 instance
- Decrypting the password and retrieving the RDP client shortcut
- Connecting to the EC2 Windows 2012 instance
- Terminating the Windows Server 2012 instance
Module 4: Amazon EC2 – Security Groups (Practical Lab)
- Creating Security Groups
- Modifying Security Groups
- Deleting Security Groups
Module 5: Amazon Elastic Block Store (Practical Lab)
- Creating a standard volume
- Creating and deleting snapshots
- Attaching volumes to Windows Server 2012 and Ubuntu 14.04 instances
- Detaching and deleting volumes
Module 6: Amazon Elastic Load Balancing (ELB) (Practical Lab)
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Lab 6.1
- Launching two Ubuntu EC2 instances configured as Apache web servers using user data
- Editing HTML files on both servers
- Testing web servers via the internet
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Lab 6.2
- Creating an Elastic Load Balancer
- Registering both Ubuntu servers with the ELB
- Testing the Elastic Load Balancer
- Deleting the Elastic Load Balancer
Module 7: AWS Route 53
- Introduction to Route 53
- Live demonstration of Route 53 integration with an ELB (instructor-led)
Module 8: AWS S3 (Practical Lab)
- S3 overview and pricing
- Creating buckets and folders
- Uploading, downloading, sharing, and deleting objects
- Deleting buckets
Day 2
Module 1: Amazon EC2 – Windows 2012 with User Data (Practical Lab)
- Launching a Windows 2012 R2 server
- Configuring a web server using PowerShell-based user data
- Verifying successful execution of user data
- Terminating the instance
Module 2: Amazon EC2 – Ubuntu 14.04 with User Data (Practical Lab)
- Launching an EC2 Ubuntu cloud server
- Implementing a web server using user data
- Verifying successful execution of user data
Module 3: Amazon EC2 – Ubuntu 14.04 with Metadata (Practical Lab)
- Overview of metadata
- Retrieving metadata for your EC2 instance
- Terminating the instance
Module 4: Amazon Simple Storage Service (S3) (Practical Lab)
- S3 overview and pricing
- Creating an S3 bucket
- Implementing file versioning
- Hosting a static website on S3
- Configuring cross-region replication
- Live demonstration: Using Route 53 redirects for static web access
Module 5: Amazon Glacier (Practical Lab)
- Glacier overview and pricing
- Creating lifecycle policies
- Accessing data stored in Glacier
- Configuring automatic deletion rules for data in S3
Module 6: AWS CloudFormation
- Infrastructure as Code using CloudFormation
- Creating new stacks in CloudFormation
- Deploying a sample template in JSON format
- Utilizing existing templates for deployment
Day 3
Module 7: AWS IAM (Identity and Access Management)
- Comprehensive introduction to IAM
- Theory: AWS federation with Active Directory
- Getting started with IAM
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IAM Roles – Delegation and Federation (Practical Lab)
- Creating a role
- Assuming a role
- Deleting a role
-
IAM Users and Groups (Practical Lab)
- Creating users and groups
- Adding users to groups
- Configuring password policies
- Attaching policies to users
- Enabling multi-factor authentication
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IAM Roles (Practical Lab)
- Creating an IAM role with full EC2 and S3 access
- Launching an EC2 instance and verifying CLI-based access
Module 8: AWS CLI
- Working with the AWS CLI
- Launching an instance with full S3 and EC2 permissions
- Configuring the AWS CLI client
- Creating a security group via CLI
- Creating a key pair via CLI
- Launching an EC2 instance via CLI
- Stopping an EC2 instance via CLI
- Terminating an EC2 instance via CLI
- Creating a load balancer via CLI
- Deleting a load balancer via CLI
- Creating an S3 bucket via CLI
- Uploading and downloading objects between local machine and S3 via CLI
- Listing buckets via CLI
- Deleting buckets via CLI
Module 9: Application Development and Deployment Best Practices
- Deploying applications using AWS Elastic Beanstalk
- Setting up a Python Beanstalk environment
- Setting up an IIS environment
- Terminating Python and Beanstalk environments
Day 4
Module 10: AWS Virtual Private Cloud (VPC)
- Comprehensive introduction to VPC
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Understanding VPC configurations
- VPC with a single public subnet
- VPC with public and private subnets
- VPC Peering
- Access Control Lists
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Configuring VPC Instances (Student-led Practical Lab)
- Creating a VPC
- Defining subnets
- Setting up an Internet Gateway
- Configuring routing
- Configuring a NAT instance
- Creating security groups
- Launching instances
Module 11: AWS Managed Services & Database Integration with Python SDK
- Overview of Amazon DynamoDB
- Key features of Amazon RDS
- Configuring Python SDK for DynamoDB access
- Creating tables using the Python SDK
- Inserting items using the SDK
- Querying data using the Python SDK
- Deleting items using the SDK
Module 12: AWS RDS (Theory)
- Overview of Amazon RDS
- Comparing self-managed databases on EC2 versus managed RDS services
Module 13: AWS SNS, SQS, and SWF (Theory)
- Simple Notification Service (SNS) – Overview and use cases
- Simple Queue Service (SQS) – Overview and use cases
- Simple Workflow Service (SWF) – Overview and use cases
Requirements
Fundamental Linux proficiency, including navigation of files and directories, is required.
28 Hours
Testimonials (3)
Sounds knowledgeable, and interacts with his leaners
Shuko Ndhlovu - BMW
Course - AWS Developer Associate
Everything. I had played around with AWS before but just on my own personal time. The training really brought everything together, with real world examples and how many individual pieces can be bolted together for a applicable solution.
Matt Sartain - MDA Systems Ltd.
Course - AWS Developer Associate
I liked getting to understand the breadth of the services offered by AWS and gaining a better understanding of their pricing model for each of those services.