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Planning and Designing Databases on AWS

Live Online (VILT) & Classroom Corporate Training Course

Learn how to identify and design the most suitable AWS database solutions so you can modernize your data infrastructure with fully managed, purpose-built databases to save time and cost, improve performance and scale, and accelerate innovation.

Expert-Led VILT & Classroom Hands-On CloudLabs Certification Voucher Available
AWS Certified
CloudLabs
Projects
Assessments
24/7 Support
Lifetime Access

Overview

This course explores how to the use of the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the process pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Learners with little to no machine learning

Activites

This course includes presentations, group exercises, demonstrations, and hands-on labs.

Objectives

In this Machine Learning Pipeline on AWS course, participants will be able to:

  • Select and justify the appropriate ML approach for a given business problem
  • Use the ML pipeline to solve a specific business problem
  • Train, evaluate, deploy, and tune an ML model using Amazon SageMaker
  • Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS
  • Apply machine learning to a real-life business problem after the course is complete

Prerequisites

We recommend that attendees of The Machine Learning Pipeline on AWS course have:

  • Basic knowledge of Python programming language
  • Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch)
  • Basic experience working in a Jupyter notebook environment

Course Outline

Course Introduction

  • Course overview

AWS Purpose-Built Databases

  • Discussing well-architected databases
  • Analyzing workload requirements
  • Choosing the data model
  • Choosing the right purpose-built database
  • Knowledge check

Amazon Relational Database Service (Amazon RDS)

  • Discussing a relational database
  • What is Amazon RDS?
  • Why Amazon RDS?
  • Amazon RDS design considerations
  • Knowledge check

Amazon Aurora

  • What is Amazon Aurora?
  • Why Amazon Aurora?
  • Aurora design considerations
  • Knowledge check

Working with Amazon Aurora databases

Choose the Right Relational Database

Amazon DynamoDB

  • Discussing a key value database
  • What is DynamoDB?
  • Why DynamoDB?
  • DynamoDB design considerations
  • Knowledge check

Amazon Keyspaces (for Apache Cassandra)

  • Discussing a wide-column database
  • What is Apache Cassandra?
  • What is Amazon Keyspaces?
  • Why Amazon Keyspaces?
  • Amazon Keyspaces design considerations
  • Knowledge check

Amazon DocumentDB (with MongoDB compatibility)

  • Discussing a document database
  • What is Amazon DocumentDB?
  • Why Amazon DocumentDB?
  • Amazon DocumentDB design considerations
  • Knowledge check

Amazon Quantum Ledger Database (Amazon QLDB)

  • Discussing a ledger database
  • What is Amazon QLDB?
  • Why Amazon QLDB?
  • Amazon QLDB design considerations
  • Knowledge check

Choose the Right Nonrelational Database

Working with Amazon DynamoDB Tables

Amazon Timestream

  • Discussing a timeseries database
  • What is Amazon Timestream?
  • Why Amazon Timestream?
  • Amazon Timestream design considerations
  • Knowledge check

Amazon Timestream

  • Discussing a timeseries database
  • What is Amazon Timestream?
  • Why Amazon Timestream?
  • Amazon Timestream design considerations
  • Knowledge check

Amazon ElastiCache

  • Discussing an in-memory database
  • What is ElastiCache?
  • Why ElastiCache?
  • ElastiCache design considerations
  • Knowledge check

Amazon MemoryDB for Redis

  • What is Amazon MemoryDB (for Redis)?
  • Why Amazon MemoryDB?
  • Amazon MemoryDB design considerations
  • Knowledge check

Let’s Cache In

Amazon Redshift

  • Discussing a data warehouse
  • What is Amazon Redshift?
  • Why Amazon Redshift?
  • Amazon Redshift design considerations
  • Knowledge check

Tools for Working with AWS Databases

  • Data access and analysis with Amazon Athena
  • Data migration with SCT and DMS

Overall Picture

Working with Amazon Redshift clusters

AWS Discovery Days

Supercharge your workforce’s AWS skills with our complimentary Privately Hosted AWS Discovery Day. Delivered by our team of renowned AWS Authorized Instructors, this tailored experience will propel your organization’s technological capabilities to new heights.

Testimonials

Shamsudeen Bawa

Synergific Software Team has been very supportive, and working with them has been a best decision that we could ever made, They are just a call away. You guys are AWESOME, Thank You, Keep up the Good Work!!!

Shamsudeen Bawa

Vice President, J.P Morgan, CIS, USA

Farhan Hafiz

Synergific Software has been of great help and I plan to continue to use your services in the future for my business needs.

Farhan Hafiz

Data Architect, Fiserv

Dr. Sahdev Singh

I think Synergific Software is great. I liked that it was hassle free and easy to set up. Again, it's a great feature for a fast and cheap set up, which gives me peace of mind, as I know have a terms of use agreement.

Dr. Sahdev Singh

Under Secretary, Ministry of Law & Justice, Govt. of India

M Chikanna Swamy

I liked using Synergific Software very much. I thought the website was easy to navigate and the instructions for generating the terms was clear. I even recommended you on a Facebook Group I am a member of.

M Chikanna Swamy

Director & Learning Head, Mindtree

Why Synergific

The Synergific Training Advantage

Expert Instructors

OEM-certified trainers with 10+ years avg enterprise experience.

Hands-On CloudLabs

Real AWS, Azure & GCP environments. Practice, don't just watch.

Certification Vouchers

1,100+ official vouchers from 50+ OEMs at enterprise pricing.

Flexible Scheduling

VILT, classroom, weekends. Custom schedules for enterprise teams.

500+
Enterprises
50K+
Trained
95%
Satisfaction
92%
Pass Rate
FAQ

Frequently Asked Questions

What delivery formats are available?

We offer Live Online (VILT), in-person classroom at your premises or ours, and self-paced via our LMS. Custom blended formats are also available for enterprise teams.

Is a certification voucher included?

Certification vouchers can be included or purchased separately at enterprise pricing from our store (store.synergificsoftware.com). We offer 1,100+ vouchers from 50+ OEMs.

Can this course be customized for my team?

Absolutely. We customize curriculum, labs, case studies, and assessments to match your tech stack, team level, and business goals. Contact us for a custom proposal.

Do participants get hands-on lab access?

Yes. All courses include CloudLab access — real AWS, Azure, or GCP environments with pre-configured tools, time-boxing, and automatic cleanup.

What is the minimum batch size?

For public batches, individuals can enroll (no minimum). For custom in-house training, we recommend a minimum of 5 participants for the best experience.

Do you provide post-training support?

Yes. Participants get 30-day post-training Q&A access, session recordings (for VILT), and continued CloudLab access for practice.