AWS Technical Essentials
AWS Technical Essentials introduces you to essential AWS services and common solutions. The course covers the fundamental AWS concepts related to compute, database, storage, networking, monitoring, and security. You will start working in AWS through hands-on course experiences. The course covers the concepts necessary to increase your understanding of AWS services, so that you can make informed decisions about solutions that meet business requirements. Throughout the course, you will gain information on how to build, compare, and apply highly available, fault tolerant, scalable, and cost-effective cloud solutions.
What you will learn
- Describe terminology and concepts related to AWS services
- Navigate the AWS Management Console
- Articulate key concepts of AWS security measures and AWS Identity and Access Management (IAM)
- Distinguish among several AWS compute services, including Amazon Elastic Compute Cloud (Amazon EC2), AWS Lambda, Amazon Elastic Container Service (Amazon ECS), and Amazon Elastic Kubernetes Service (Amazon EKS)
- Understand AWS database and storage offerings, including Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB, and Amazon Simple Storage Service (Amazon S3)
- Explore AWS networking services
- Access and configure Amazon CloudWatch monitoring features
Prerequisites
- IT experience
- Basic knowledge of common data center architectures and components (servers, networking, databases, applications, and so on)
- No prior cloud computing or AWS experience required
Target audience
- Individuals responsible for articulating the technical benefits of AWS services to customers, Individuals interested in learning how to get started with AWS, SysOps administrators, Solutions architects, Developers
Training Program
8 modules to master the fundamentals
Topics covered
- →Introduction to AWS Cloud
- →Security in the AWS Cloud
- →Hosting the employee directory application in AWS
Activities
Hands-On Lab: Introduction to AWS Identity and Access Management (IAM)
Topics covered
- →Compute as a service in AWS
- →Introduction to Amazon Elastic Compute Cloud
- →Amazon EC2 instance lifecycle
- →AWS container services
- →What is serverless?
- →Introduction to AWS Lambda
- →Choose the right compute service
Activities
Hands-On Lab: Launch the Employee Directory Application on Amazon EC2
Topics covered
- →Networking in AWS
- →Introduction to Amazon Virtual Private Cloud (Amazon VPC)
- →Amazon VPC routing
- →Amazon VPC security
Activities
Hands-On Lab: Create a VPC and Relaunch the Corporate Directory Application in Amazon EC2
Topics covered
- →AWS storage types
- →Amazon EC2 instance storage and Amazon Elastic Block Store (Amazon EBS)
- →Object storage with Amazon S3
- →Choose the right storage service
Activities
Hands-On Lab: Create an Amazon S3 Bucket
Topics covered
- →Explore databases in AWS
- →Amazon Relational Database Service
- →Purpose-built databases
- →Introduction to Amazon DynamoDB
- →Choose the right AWS database service
Activities
Hands-On Lab: Implement and manage Amazon DynamoDB
Topics covered
- →Monitoring
- →Optimization
- →Alternate serverless employee directory application architecture
Activities
Hands-On Lab: Configure High Availability for Your Application
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote