AWS: A Hands-on Introduction to Cloud Computing Training Course
This instructor-led, live training offers an overview of AWS products, services and solutions. It is aimed at individuals and teams who are:
- evaluating/preparing for an initial deployment of their IT infrastructure on AWS.
- evaluating/preparing to migrate their existing IT infrastructure to the AWS public cloud.
By the end of this training, participants will have a clear understanding of the principal components that make up Amazon's cloud offering. The hands-on exercises, discussions and in-class deployments will provide participants with the practice and feedback they need to feel comfortable and prepared to carry out their own live deployments to AWS.
Format of the Course
- The training will be interactive and includes hands-on lab activities and live implementation.
Course Outline
Introduction to Cloud Computing
Overview of AWS Architecture and Design
AWS Foundational Services
- EC2, VPC, S3, EBS
AWS Compute and Networking Options
AWS Security
Identity and Access Management
Managing Structured and Unstructured Data in AWS
Working with DynamoDB and Amazon Relational Database Service (RDS)
AWS Tools for Management and Deployment
- Auto Scaling
- CloudWatch
- Elastic Load Balancing and Monitoring
- Trusted Advisor
Instance Management
Migrating to Cloud
Summary and Conclusion
Requirements
- Basic understanding of cloud services
- Some system administration experience
- Basic understanding of databases and programming, APIs, etc.
Audience
- Engineers, system administrators, DBAs, DevOps
Open Training Courses require 5+ participants.
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Testimonials (3)
I liked how well organized the trainer was and also how well the material was structured and presented.
Ana - Ness Digital Engineering
Course - AWS: A Hands-on Introduction to Cloud Computing
Easy to follow and understand
Alexia - Ness Digital Engineering
Course - AWS: A Hands-on Introduction to Cloud Computing
The practice part.
Radu - Ness Digital Engineering
Course - AWS: A Hands-on Introduction to Cloud Computing
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