(DBMS) – Mastering SQL & Database Design

Learn how to design, manage, and optimize databases to power modern applications

  • 8
    Weekends
  • 2
    Hours/Daily
  • 32
    Learning Hours
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About This Course

The Database Management System (DBMS) – Mastering SQL & Database Design program is a practical, project-based course designed to help you build strong foundations in databases. Over 8 weeks, you will learn how to design, create, and manage databases using SQL and popular DBMS tools like MySQL and PostgreSQL.

From writing basic queries to mastering advanced SQL techniques, database normalization, indexing, and transaction management, this course covers everything you need to become confident in handling real-world data challenges. You will also gain hands-on experience in database security, backup strategies, and automation with stored procedures and triggers.

By the end of this course, you will not only understand how databases power modern applications but also design and implement your own complete DBMS project to showcase in your professional portfolio.

Key Highlights

  • 8-Week, Project-Based Training (Weekend Friendly)
  • Hands-On Practice with SQL & Relational Databases
  • Covers Database Design, Normalization & Optimization
  • Advanced SQL Queries, Joins & Transactions
  • Real-World Project: Build a Complete DBMS from Scratch
  • Learn Security, Roles, Permissions & Automation (Procedures & Triggers)
  • Career-Focused: Build a Portfolio Project for Jobs & Freelancing
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Course Modules & Weekly Breakdown

Week 1 – Introduction to Databases & DBMS
Understanding Data, Database & DBMS
Difference Between File Systems & Databases
Types of Databases (Relational, NoSQL)
Overview of Popular DBMS (MySQL, PostgreSQL, Oracle, SQL Server)
Learning Outcome:

You will gain a solid foundation of databases, understand why DBMS is essential, and explore different types of database systems.

Week 2 – Database Architecture & Models
DBMS Architectures (1-Tier, 2-Tier, 3-Tier)
Data Models & Database Schema
Instances & Metadata
ER Model: Entities, Attributes & Relationships
Learning Outcome:

You will design ER diagrams and understand the structure and architecture of different DBMS models.

Week 3 – Relational Model & SQL Basics
Relational Database Concepts: Tables, Keys & Relationships
Primary Key, Foreign Key, Composite Key
Introduction to SQL (DDL, DML, DCL, TCL)
Writing Basic Queries (SELECT, INSERT, UPDATE, DELETE)
Learning Outcome:

You will understand relational principles and confidently write fundamental SQL queries.

Week 4 – Advanced SQL Queries
Filtering Data with WHERE, ORDER BY, DISTINCT, LIMIT
Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
GROUP BY & HAVING Clauses
Joins (INNER, LEFT, RIGHT)
Learning Outcome:

You will write advanced SQL queries, apply filters, use aggregates, and master joins for complex data analysis.

Week 5 – Database Design & Normalization
Database Design Principles
Functional Dependencies & Anomalies
Normalization (1NF, 2NF, 3NF, BCNF)
Denormalization & Real-World Use Cases
Learning Outcome:

You will design optimized and efficient database schemas using normalization and understand when to apply denormalization.

Week 6 – Transactions & Concurrency Control
Transactions & ACID Properties
Commit & Rollback Mechanisms
Concurrency Problems (Dirty Read, Lost Update, Deadlock)
Concurrency Control Techniques (Locking, Timestamping)
Learning Outcome:

You will manage safe transactions and handle concurrency in multi-user database systems effectively.

Week 7 – Database Security, Optimization & Automation
Database Users, Roles & Permissions
Indexing & Query Optimization
Stored Procedures, Functions & Triggers
Learning Outcome:

You will implement database security, improve query performance, and automate workflows using procedures and triggers.

Week 8 – Final Project & Career Readiness
Capstone Project: Design & Implement a Complete Database System (e.g., Library, E-commerce, Student Management)
Performance Tuning & Optimization
Project Presentation & Review
Learning Outcome:

You will create a fully functional DBMS project, optimize it for performance, and present it as part of your portfolio.

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Latest Industry Trends in Databases

  • Cloud Databases – Businesses are rapidly shifting to cloud-based databases like AWS RDS, Azure SQL, and Google Cloud Spanner for scalability and flexibility.
  • Big Data & NoSQL Growth – With unstructured data on the rise, technologies like MongoDB, Cassandra, and Hadoop are becoming industry standards.
  • Data Security & Compliance – With growing cyber threats, encryption, access control, and compliance (GDPR, HIPAA) are top priorities for database professionals.
  • Automation & AI-Driven Databases – Modern DBMSs are leveraging AI/ML to automate query optimization, indexing, and performance tuning.
  • Real-Time Data Processing – Streaming data platforms and real-time analytics are driving demand for professionals skilled in high-performance databases.
  • Hybrid & Multi-Model Databases – Companies are adopting systems that can handle both structured (SQL) and unstructured (NoSQL) data in a single platform.

Who Should Attend?

This course is ideal for:

  • Students & Fresh Graduates who want to build strong foundations in databases
  • Aspiring Developers & Programmers who want to add SQL & DBMS expertise to their skillset
  • Freelancers & IT Professionals looking to deliver database-driven projects
  • Entrepreneurs & Startup Owners who want to understand how to manage their business data effectively
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Tools & Technologies You’ll Master

  • SQL & Relational Databases (MySQL, PostgreSQL, Oracle, SQL Server)
  • ER Modeling Tools (Lucidchart / Draw.io)
  • Database Optimization (Indexes, Query Tuning)
  • Stored Procedures, Functions & Triggers
  • Transaction & Concurrency Management
  • Backup & Security Mechanisms

Learning Outcomes

By the end of this course, you will be able to:

  • Understand database fundamentals & DBMS architecture
  • Write SQL queries from basic to advanced level
  • Design efficient databases using normalization techniques
  • Manage transactions and concurrency in multi-user environments
  • Implement indexing, optimization & automation in databases
  • Apply security best practices with roles & permissions
  • Build a real-world DBMS project for your portfolio

Final Project

Design & implement a complete Database Management System such as:

  • Library Management System
  • Student Management System
  • E-commerce Database
  • Hospital/Clinic Management System

This project will include:

  • ER Diagram & Database Schema
  • SQL Queries for CRUD Operations
  • Stored Procedures, Functions & Triggers
  • Optimization & Security Implementation
Students will present their project as part of their professional portfolio.
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