AWS Security Essentials

The AWS Security Essentials course provides professionals with a foundational understanding of cloud security. Participants will explore key topics such as access control features, data encryption techniques, network security services, and the shared responsibility model of AWS. This course equips learners with essential knowledge to enhance their security practices in the AWS cloud environment.

Course Details

Price:

$695.00

Days:

Location:

Virtual

Course Overview

• Identify security benefits and responsibilities when using the AWS Cloud
• Describe the access control and management features of AWS
• Understand the different data encryption methods to secure sensitive data
• Describe how to secure network access to your AWS resources
• Determine which AWS services can be used for security logging and monitoring

• Working knowledge of IT security practices and infrastructure concepts
• Familiarity with cloud computing concepts

1 – Planning and Designing Databases on AWS
Course overview, structure, and database design goals
Introduction to AWS’s portfolio of database services
2 – Database Concepts and General Guidelines
Review of relational and nonrelational database fundamentals
Best practices for cloud-native database design
3 – Database Planning and Design
Workload assessment and design decision-making
Key criteria: performance, cost, scalability, and availability
4 – Databases on Amazon EC2
Self-managed databases on EC2: when and why
Trade-offs vs managed services
Cost, maintenance, and availability considerations
5 – Purpose-Built Databases on AWS
Overview of AWS’s purpose-built database strategy
Matching use cases to services (key-value, document, graph, etc.)
6 – Amazon RDS
Features and capabilities of Amazon RDS
Supported engines and deployment models
Use cases for managed relational databases
7 – Amazon Aurora
Aurora architecture and performance benefits
Aurora MySQL vs Aurora PostgreSQL
Replication, backups, and high availability
8 – Amazon DocumentDB (with MongoDB compatibility)
Designing document-based applications
Scaling and querying document data
Differences between DocumentDB and MongoDB
9 – Amazon DynamoDB
Key-value and NoSQL data models
Partitioning, throughput, and access patterns
Design best practices for performance and cost
10 – Amazon Neptune
Graph database use cases and data models
Working with Gremlin and SPARQL queries
Design considerations for connected data
11 – Amazon Quantum Ledger Database (QLDB)
Immutable ledger design and cryptographic verification
Use cases for financial records, supply chains, and auditing
How QLDB differs from blockchain and relational models
12 – Amazon ElastiCache
In-memory caching with Redis and Memcached
Boosting performance and reducing database load
Common caching patterns and considerations
13 – Amazon Redshift
Data warehousing and analytics at scale
Columnar storage and performance optimization
Redshift Spectrum and integration with AWS services
14 – Course Review and Design Application
Recap of all AWS database services
Workload matching and final design scenarios
Q&A and review exercises

Class Dates & Times


02/02/2026 Virtual 09:00:00 to 17:00:00 EST Enroll Now $695.00
06/05/2026 Virtual 09:00:00 to 17:00:00 EST Enroll Now $695.00
11/14/2025 Virtual 09:00:00 to 17:00:00 EST Enroll Now $695.00

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