Database Management Systems (DBMS) Course

This course is structured into 9 core modules with an applied learning focus:

• Course 1: Introduction to DBMS & Data Models

• Course 2: Relational Databases & ER Modeling

• Course 3: SQL Queries, Joins, Constraints & Functions

• Course 4: Database Normalization & Integrity Constraints

• Course 5: Indexing, Views, and Transactions

• Course 6: Stored Procedures, Triggers & Functions

• Course 7: NoSQL Databases: MongoDB & Document Stores

• Course 8: Database Security, Backup & Recovery

• Course 9: Cloud Databases – AWS RDS & Firebase

• Capstone Project: Design, Build & Query a Scalable Database System for a Business Use Case

By the end of this course, you will confidently design and manage data-driven systems used in web apps, enterprise tools, and analytics platforms:

• Database Design & ER Diagrams

• Writing Complex SQL Queries

• Data Integrity & Normalization (1NF to BCNF)

• Transaction Management & ACID Properties

• Triggers, Stored Procedures & Views

• MongoDB CRUD Operations & Aggregation

• Database Performance Tuning & Indexing

• Data Backup, Recovery & Security Measures

• Cloud Database Deployment on AWS/GCP

• Schema Design for Structured & Unstructured Data

Databases power everything from mobile apps to enterprise CRMs and e-commerce platforms. Skilled DBMS professionals are in high demand for backend development, data analytics, cloud engineering, and system design roles.

• Design, create, and maintain data models

• Write and optimize queries for data extraction

• Ensure data consistency, security, and backups

• Collaborate with developers and analysts

• Support database scaling and performance

After completing this course in 2–3 months, you’ll be ready for roles like Database Developer, SQL Analyst, NoSQL Engineer, or Junior DBA.