Planning and Designing Databases on AWS
Choose and design the right purpose-built AWS database for each workload, from RDS and Aurora to DynamoDB and Neptune
- Duration
- Live batches
- Format
- Live online
- Modules
- 8 modules
- Certificate
- On completion
- ✓Live online instructor-led training in scheduled batches
- ✓Compare relational, key-value, document, graph, in-memory and time-series databases
- ✓Design for availability, scale and cost with Multi-AZ, read replicas and global tables
- ✓Data modelling labs for RDS, Aurora and DynamoDB
- ✓Migration planning with DMS and the Schema Conversion Tool
- ✓Security, backup and monitoring for database services
About the course
What this course covers
Modern applications rarely use a single database for everything. AWS offers purpose-built databases, and good design means matching each workload to the right engine. Planning and Designing Databases on AWS teaches how to gather requirements, evaluate options and design for scale, availability and cost.
The course covers Amazon RDS and Aurora for relational workloads, DynamoDB for key-value and document data, ElastiCache and MemoryDB for caching and in-memory use, DocumentDB, Neptune for graph data, Timestream for time series and Keyspaces for Cassandra-compatible workloads. For each, you learn data modelling, consistency, scaling, backup and security. We then discuss migration with DMS and the Schema Conversion Tool and operational monitoring.
There is no exam in the course. The older AWS Database - Specialty exam has been retired, so learners who want a credential usually pursue Solutions Architect or Data Engineer certifications, booked separately with AWS. Delivery is live, instructor-led and online.
Who should attend
- ● Database administrators and developers moving to AWS
- ● Solutions architects who choose data stores for applications
- ● Backend engineers designing microservice data layers
- ● Data engineers who need to understand source databases
- ● Migration engineers moving on-premises databases to the cloud
Prerequisites
- Solid SQL and relational database fundamentals
Key skills
Skills you will walk away with
Workload analysis
Gather access patterns, consistency needs and scale to pick a database type.
Relational design on RDS and Aurora
Configure Multi-AZ, read replicas, parameter groups and Aurora cluster features.
DynamoDB modelling
Design partition and sort keys, indexes and single-table access patterns.
Caching and in-memory data
Use ElastiCache and MemoryDB to cut latency and database load.
Specialised engines
Recognise when to use Neptune, DocumentDB, Timestream or Keyspaces.
High availability and DR
Plan backups, point-in-time recovery, Aurora Global Database and DynamoDB global tables.
Curriculum
Module-by-module syllabus
8 modules · 33 topics
1Module 1: Database Fundamentals and Requirements4 topics ▾
Learning objective: Translate needs into database criteria.
- ▸ ACID vs BASE
- ▸ Access patterns, throughput and latency
- ▸ Consistency and availability trade-offs
- ▸ Purpose-built database landscape on AWS
2Module 2: Relational Databases on RDS5 topics ▾
Learning objective: Operate managed relational databases.
- ▸ RDS engines and instance classes
- Multi-AZ and read replicas
Schedules
Upcoming live batches
Enroll now and choose your batch dates
Send an enquiry and we'll reserve your seat in the next batch.
Certification
How you get certified
- 1Enrol in a live batch and attend the instructor-led sessions
- 2Complete the design workshops and the migration lab
- 3Submit the final database design case study
- 4Receive an Assure Success course-completion certificate after meeting attendance and case-study requirements
Career outcomes
Roles this opens up
Cloud Database Administrator
₹7–18 LPA (approx.)Runs and tunes managed databases on AWS.
Database Architect
₹14–28 LPA (approx.)Chooses and designs data stores for applications.
Backend Engineer
₹6–18 LPA (approx.)Builds services with well-designed data layers.
Migration Specialist
₹8–20 LPA (approx.)Moves databases to AWS with minimal disruption.
Salary ranges are approximate figures for India and vary by city, company and experience.
Why this certification is worth it
Right tool for the job
Avoid the common mistake of forcing every workload into one engine.
Hands-on modelling
Practise relational and NoSQL design side by side.
Why Assure Success
Learn it once, pass it once
Trainers from the field
Every session is led by a practitioner who uses this material at work.
Batches that fit your week
Weekday and weekend batches in IST, scheduled for working professionals.
Exam-style practice
Practice questions and, where available, a full simulator free with the course.
Exam voucher help
Discounted vouchers and step-by-step help booking your exam.
Human support
WhatsApp support Mon–Sat, 9 AM–8 PM IST — a person answers.
Pay your way
UPI, cards, netbanking and EMI in India; international cards accepted.
FAQs
Questions learners ask us
Q.Is there an AWS Database certification I can take after this?
AWS retired its Database - Specialty exam. For credentials, many learners choose Solutions Architect Associate or Data Engineer Associate; check the AWS Certification site for current options.
Q.Do I need DBA experience?
Basic database knowledge and SQL are needed. Prior DBA experience helps but is not required.
Q.Will we write SQL?
Yes, for relational labs. For DynamoDB we use console and SDK examples.
Q.Which cloud do labs use?
AWS only.
Q.Can application developers join?
Yes. Understanding data design is very valuable for backend developers.
Q.Is there any exam?
No. Completion is certified by Assure Success.
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Planning and Designing Databases on AWS