DatabasePostgreSQL Database

Master PostgreSQL — From Fundamentals to Advanced Database Management!

5/5👩‍🎓 10,556+ students

Learn PostgreSQL, one of the most powerful open-source relational databases. This course covers everything from SQL basics to advanced performance tuning, indexing, and replication. Build real-world database projects and gain practical skills to manage high-performing applications.

About This Course

The PostgreSQL Database course by Urbancode offers hands-on training for developers and database administrators. You’ll start with essential SQL queries, database design, and schema creation, then advance to transactions, stored procedures, triggers, and performance optimization. The course concludes with high-level concepts like replication, security best practices, and database clustering, making you fully industry-ready.

PostgreSQL Database
  • Hours of Instructor-Led Training
  • Hands-on Projects across Web, Data & AI
  • Includes Beginner → Expert Level Topics
  • Mentor Support, Assignments & Code Reviews
  • Job Assistance & Portfolio Guidance
  • Urbancode Certificate of Completion

What You'll Learn

Master PostgreSQL Fundamentals

Understand database design, SQL queries, and schema management.

Work with Advanced Queries

Perform joins, subqueries, aggregations, and complex filtering.

Develop Database Programs

Use stored procedures, triggers, and transactions effectively.

Optimize and Secure Databases

Learn performance tuning, indexing, and security best practices.

Ensure High Availability

Set up replication, clustering, and backup strategies.

Integrate with Applications

Use PostgreSQL with programming languages and web applications.

Course Content

  • Introduction to PostgreSQL and its features
  • Installing and configuring PostgreSQL
  • Basic SQL commands: SELECT, INSERT, UPDATE, DELETE
  • Understanding data types and constraints
  • Creating and managing databases and tables
  • Basic queries and filtering data

  • Advanced SELECT queries and JOINs
  • Grouping and aggregating data
  • Subqueries and nested queries
  • Views and materialized views
  • Indexes and performance basics

  • Transactions and ACID properties
  • Stored procedures and functions
  • Triggers and event handling
  • Sequences and auto-incrementing IDs
  • Error handling in PostgreSQL

  • Partitioning large tables
  • Advanced indexing techniques
  • Query optimization and execution plans
  • Using EXPLAIN and ANALYZE for performance tuning
  • Data integrity and constraints