AWS Advanced CLR LRG
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Planning and Designing Databases on AWS

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...

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$675 USD List Price $2,185 GSA  $1,734.26
Course Code AWS-PD-DB
Duration 3 days
Available Formats Classroom, Virtual

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.

Skills Gained

  • Summarize the AWS Well-Architected Framework for designing database solutions.
  • Choose an appropriate purpose-built database service for a given workload.
  • Design a relational database solution to solve a business problem.
  • Design a NoSQL database solution to solve a business problem.
  • Analyze data from multiple databases to solve a business problem.
  • Discuss the security considerations for your database solution.

Who Can Benefit

  • Solutions architects
  • Database architects
  • Developers


  • 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
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Learn more about this program

You are participating in instructor led or self-paced digital classes, labs or other training sessions (“AWS Training Services”) delivered by a third party who may be an AWS authorized training partner (“Coordinator”). You acknowledge that Coordinator will disclose information about your participation to AWS. This information will include a record of your attendance, the results of any training test or quiz, responses to surveys, and personal data such as the name and the email address used to register for the Training, (collectively “Training Data”). AWS will process personal Training Data in accordance with the AWS Privacy Notice, available at The Coordinator will disclose the Training Data to AWS for certain legitimate business purposes including to: (a) confirm that Coordinator has delivered the Training in accordance with the terms agreed between AWS and the Coordinator, (b) confirm that you have successfully undertaken the AWS Training Services in order to determine the Coordinator is eligible for AWS provided funding for AWS Training Services, and (c) identify additional Training that might be of interest to you or the Coordinator.