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Planning and Designing Databases on AWS — brochure
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Assure Success
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Assure SuccessCourse brochure 2026Choose and design the right purpose-built AWS database for each workload, from RDS and Aurora to DynamoDB and Neptune
Course fee
₹26,999₹40,499
Enroll online at assuresuccess.in or call +91 93517 82674
Scan to view the course and enroll · Fees as on 28 Oct 2026
About the course
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.
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.
Migration confidence
Learn a repeatable approach to moving databases.
Architect-ready thinking
Strengthens the database domain of architecture roles.
Curriculum
Database Fundamentals and Requirements
Translate needs into database criteria.
Relational Databases on RDS
Operate managed relational databases.
Amazon Aurora
Use Aurora's cloud-native design.
DynamoDB
Model for NoSQL scale.
In-Memory Databases
Speed up reads.
Specialised Databases
Know when to use them.
Migration
Plan and run migrations.
Security, Monitoring and Cost
Operate databases responsibly.
Your certificate
Enrol in a live batch and attend the instructor-led sessions
Complete the design workshops and the migration lab
Submit the final database design case study
Receive an Assure Success course-completion certificate after meeting attendance and case-study requirements
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.
Migration
Use DMS and schema conversion tools to move databases with minimal downtime.
Security and operations
Apply encryption, IAM authentication, network isolation and monitoring.
Your future
Careers after this course
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.
Expert trainers
Certified instructors with real project experience.
Exam practice
Practice questions and mock tests.
Flexible batches
Weekday and weekend batches.
Exam support
Help with eligibility, vouchers and booking.
Ready to get certified?
Course fee ₹26,999. Enroll at assuresuccess.in/course/planning-designing-databases-on-aws
📞 +91 93517 82674✉️ info@assuresuccess.in💬 WhatsApp +91 93517 82674
Assure Success. Exam details are set by the certifying body and may change — check the official website before booking. All trademarks belong to their owners.