Learning Outcome
Course Covers
Learning Outcome
The AWS Fundamentals Course will be divided into five modules. Each module will follow the following format:
- Intro: A short description of the pillar we will be focusing on
- Mental Model: A guiding mental model to help you understand the concepts introduced in each pillar
- Concepts: Key concepts covering broad foundational topics for each pillar
- Conclusion: Summary of what we discussed
- Further Reading: Additional links and resources
Course Covers
Getting started with Amazon cloud
- Creating accounts and analyzing the cost breakdown
- Evaluating Service Level Agreements (SLA)
- Console, command line tools and API
Overview of the architecture:
- EC2
- S3
- EBS
- Beanstalk
- RDS
- VPC
- CloudFront
- SimpleDB
- SQS
- CloudWatch
Managing the EC2 infrastructure
- Browsing Amazon Machine Images (AMI)
- Specifying security groups and key pairs
Provisioning resources
- Evaluating Elastic Block Store (EBS) and instance store root devices
- Assigning elastic IP addresses
- Mapping instance types to computing needs
Storing data in the cloud
- Persisting off-instance storage with EBS volumes
- Creating backups with snapshots
- Achieving high durability with SimpleStorage Service
- Transmitting data in/out of the Amazon cloud
Simplifying the database infrastructure
- Achieving high availability of nonrelational data with SimpleDB
- Effortlessly implement a relational database with Relational Database Service (RDS)
Creating cost-effective distributed solutions
- Decoupling applications with Simple Queue Service
- Leveraging CloudFront for high-performance edge cache content delivery
- Delivering static and streaming content
Customizing virtual machines
- Modifying existing images
- Creating new images off of running instances
- Converting an instance store AMI to an EBS A
Creating an AWS cloud architecture
- Applying best practices for a cloud solution
- Selecting a cloud setup for different use case scenarios
Monitoring from inside or outside of the cloud
- Visualizing utilization metrics with CloudWatch
- Setting alarms to send and receive notifications
Transparently scaling to meet load variations
- Distributing incoming traffic with elastic load balancing
- Dynamically adding and removing instances with Auto Scaling
- Setting capacity thresholds
Course Duration
| Track | Regular Track | Weekend Track | Fast Track |
|---|---|---|---|
| Course Duration | 45 – 60 Days | 8 Weekends | 5 Days |
| Hours | 2 hours a day | 3 hours a day | 6+ hours a day |
| Training Mode | Live Classroom | Live Classroom | Live Classroom |
