Course Code: 31427

Amazon - Planning and Designing Databases on AWS

Class Dates:
3/4/2026
Length:
3 Days
Cost:
$2090.00
Class Time:
Technology:
Database
Delivery:
Instructor-Led Training, Virtual Instructor-Led Training

Overview

  • Course Overview
  • In this course, you will learn about planning and designing your solutions with purpose-built Amazon Web Services (AWS) Cloud databases. The course introduces you to the features and characteristics of each of these databases and shares the design considerations that you should make while using them. By taking this course, you can develop the analytical skills needed to choose the right AWS database for your unique needs.

    By the end of the course, you will be able to analyze a business use case, analyze the workload, and assess application requirements to identify and design the most suitable AWS database solution to support your organizational needs.
  • Audience
  • Solutions architects
    Database architects
    Developers

Prerequisites

  • Familiarity with AWS database services
    Understanding of database design concepts and/or data modeling for relational or nonrelational databases
    Familiarity with cloud computing concepts
    Familiarity with general networking and encryption concepts
    Completion of the digital course Introduction to Building with AWS Databases

Course Details

  • Day 1
  • Module 0: Course Introduction
  • Module 2: Amazon Relational Database Service (Amazon RDS)
  • Module 3: Amazon Aurora
  • Challenge Lab 1: Working with Amazon Aurora databases
  • Day 2
  • Module 4: Amazon DynamoDB
  • Module 5: Amazon Keyspaces (for Apache Cassandra)
  • Module 6: Amazon DocumentDB (with MongoDB compatibility)
  • Module 7: Amazon Quantum Ledger Database (Amazon QLDB)
  • Challenge Lab 2: Working with Amazon DynamoDB Tables
  • Day 3
  • Module 8: Amazon Neptune
  • Module 9: Amazon Timestream
  • Module 10: Amazon ElastiCache
  • Module 11: Amazon MemoryDB for Redis
  • Module 12: Amazon Redshift
  • Module 13: Tools for Working with AWS Databases
  • Challenge Lab 3: Working with Amazon Redshift clusters