AWS Cloud Practitioner

Cloud computing is the on-demand delivery of compute power, database, storage, applications, and other IT resources via the internet with pay-as-you-go pricing. It allows organizations to obtain hardware services as an alternative or as a complement to on-premises hardware.

Amazon Web Services (AWS) is the world's largest provider of cloud computing, and this course uses training materials developed by AWS.

This course is an introduction to cloud computing for business managers, beginners seeking a career in IT, IT professionals seeking to upskill, and others who are interested in the topic.

Upon completion of this training, the participant will be prepared to sit for the AWS Cloud Practitioner Certification Exam. Additionally, this course is a suggested prerequisite for the Tennessee Digital Job Factory's planned training in AWS Cloud Architecture and AWS Data Analytics.

Course Overview

• Course lectures, materials, and assignments will be hosted on Canvas Catalog to create a community learning environment
• Join the planned 5-week cohort beginning April 19, 2021, or start anytime
• Optional (and recorded) weekly synchronous office hours every Wednesday at 2-3pm EDT and 6-7pm EDT, from April 21st through May 26th
• $10 course fee [Yep, that's it – ten bucks! And, if the cost is a barrier, please reach out to Griffin at gjudy@vols.utk.edu.]

Topics covered in AWS Cloud Practitioner

1. Overview of Cloud Concepts: The advantages of Cloud Computing, Introduction to AWS, Infrastructure as a Service, Platform as a Service, Software as a service.
2. Cloud Economics and Billing: Fundamentals of Pricing, Total Cost of Ownership: Cloud versus 0n-premises hardware for compute, storage and data transfer.
3. AWS Global Infrastructure Overview: AWS Regions, Availability Zones and Edge Locations, AWS Services and Service Categories.
4. Cloud Security: AWS Shared Responsibility Model, Identity and Access Model, Securing data at rest and in transit.
5. Networking and Content Delivery: AWS options for content delivery, for example AWS Virtual Private Cloud., providing global distribution of content with fast user response.
6. Cloud Computing: Compute Services Overview, for example Amazon Elastic Cloud Computing.
7. Cloud Storage: Storage Options, for differing requirements for access and archival needs.
8. Cloud Database: AWS Relational (SQL) Database options for structured data, and Nonrelation AWS Database options for unstructured and semi structured data, for example documents.
9. Cloud Architecture: Integrating the AWS building blocks to create the capabilities to meet the security, reliability, performance, and cost needs of an organization.
10. Autoscaling and Monitoring: AWS options for automatic distribution of traffic, monitoring the use of resources and automatic launch of additional computing power.

Contact Us

If you have questions, please contact Griffin at gjudy@vols.utk.edu.

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