Architecting on AWS

Description

The most complete and widely used cloud platform in the world, Amazon Web Services (AWS), provides over 500 individual products and services from data centers across the world. Millions of clients use AWS to save costs, increase agility, and accelerate innovation, including the largest corporations, most successful governmental organizations, and the fastest-growing startups.

This Code.Learn Architecting on AWS program, designed in exclusive collaboration with Athens Tech College, validates that the engineer effectively demonstrates knowledge of how to architect and deploy secure and robust applications on AWS technologies, that define a solution using architectural design principles based on customer requirements and that provides implementation guidance based on best practices to the organization throughout the life cycle of the project.

Key Objectives

The key learning objectives of this program can be summarized as follows:

• Introduction to Intro to AWS
• Introduction to AWS Identity and Access Management (IAM)
• Introduction to Amazon Elastic Compute Cloud (EC2)
• Elastic IP, Security Groups
• Amazon Elastic Block Store (EBS)
• Amazon Elastic File System (EFS)
• Elasticity and Scalability: Amazon Elastic Load Balancer (ELB), Amazon Auto Scaling Groups (ASG)
• Amazon Relational Database Service (RDS)
• Aurora
• Elasticache
• S3 Storage Service
• CloudFront Content Delivery Network (CDN)

Target Audience

Higher education graduates in one of the following fields:

• Computer Science
• Ιnformatics
• Software Engineering
• Web and Mobile Development
• Computer Engineering
• Solution Architecture
• Solution Design Engineering
• Information Technology Analysis
• or any other relevant area

Prerequisite Knowledge

No prerequisite knowledge or prior experience on AWS is required.

Classroom

Sessions can be carried out:

• Live in a physical classroom
• Live online through video conferencing environments
• Using a Hybrid combination of both live physical and online approaches

The teaching method will depend on the conditions at the time the training will run and on the participants’
preferences.