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PostgreSQL Complete Syllabus

Learn PostgreSQL for scalable applications, strong data integrity, JSONB, advanced queries, and production-ready database design.

CategoryDatabase LevelIntermediate Duration4 to 5 weeks Career PathBackend Developer, Database Developer, Data Application Developer

Learning Outcome

After Completion

  • Design robust schemas
  • Use advanced SQL
  • Work with JSONB
  • Optimize PostgreSQL queries

Prerequisites

  • SQL basics
  • Database design basics
  • Backend API interest

Tools

PostgreSQL pgAdmin DBeaver psql

Full Study Plan

A practical learning sequence from setup to project demo, designed for discussion, practice, revision, and job-ready confidence.

Phase 01: Setup and Foundation

  • Understand where PostgreSQL is used in real projects.
  • Install required tools and prepare a clean practice workspace.
  • Start with PostgreSQL Setup and create short notes for every concept.

Phase 02: Core Concepts

  • Complete the main PostgreSQL building blocks in sequence.
  • Practice examples for every topic before moving to the next module.
  • Maintain a daily doubt list and review it during discussion sessions.

Phase 03: Practical Implementation

  • Convert concepts into mini tasks based on JSONB and Indexing.
  • Use realistic business examples such as website, CRM, enquiry, billing, or reporting flows.
  • Review code/configuration quality, naming, security, and maintainability.

Phase 04: Project and Interview Readiness

  • Build a portfolio-ready project within the 4 to 5 weeks learning plan.
  • Revise Project and Interview with practical explanation and interview questions.
  • Prepare project screenshots, README, demo flow, and next-step career roadmap.

Start To End Syllabus

This roadmap moves from foundation to project-ready skills in a practical learning order.

01

PostgreSQL Setup

  • Installation
  • psql basics
  • Schemas
  • Roles
  • Permissions
02

SQL Foundation

  • Data types
  • Constraints
  • SELECT queries
  • Filtering
03

Advanced Querying

  • Joins
  • CTEs
  • Window functions basics
  • Subqueries
04

JSONB and Indexing

  • JSONB fields
  • GIN indexes
  • Expression indexes
  • Query plans
05

Transactions and Integrity

  • ACID
  • Transactions
  • Foreign keys
  • Cascading rules
06

Production Basics

  • Backups
  • Restore
  • Connection pooling concept
  • Performance checks
07

Project and Interview

  • SaaS schema
  • Analytics queries
  • PostgreSQL interview points
  • Optimization review

Detailed Module Syllabus

Each module includes topics, guided practice, independent work, and a clear deliverable so learning does not remain only theoretical.

Step 01

PostgreSQL Setup

Learn Installation, psql basics, Schemas with guided examples, notes, and practical review.

Topic Index
  • Installation
  • psql basics
  • Schemas
  • Roles
  • Permissions
Practice Work
  • Create examples for Installation, psql basics, Schemas.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A tested PostgreSQL script or data model for PostgreSQL Setup.

Step 02

SQL Foundation

Learn Data types, Constraints, SELECT queries with guided examples, notes, and practical review.

Topic Index
  • Data types
  • Constraints
  • SELECT queries
  • Filtering
Practice Work
  • Create examples for Data types, Constraints, SELECT queries.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A tested PostgreSQL script or data model for SQL Foundation.

Step 03

Advanced Querying

Learn Joins, CTEs, Window functions basics with guided examples, notes, and practical review.

Topic Index
  • Joins
  • CTEs
  • Window functions basics
  • Subqueries
Practice Work
  • Create examples for Joins, CTEs, Window functions basics.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A tested PostgreSQL script or data model for Advanced Querying.

Step 04

JSONB and Indexing

Learn JSONB fields, GIN indexes, Expression indexes with guided examples, notes, and practical review.

Topic Index
  • JSONB fields
  • GIN indexes
  • Expression indexes
  • Query plans
Practice Work
  • Create examples for JSONB fields, GIN indexes, Expression indexes.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A tested PostgreSQL script or data model for JSONB and Indexing.

Step 05

Transactions and Integrity

Learn ACID, Transactions, Foreign keys with guided examples, notes, and practical review.

Topic Index
  • ACID
  • Transactions
  • Foreign keys
  • Cascading rules
Practice Work
  • Create examples for ACID, Transactions, Foreign keys.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A tested PostgreSQL script or data model for Transactions and Integrity.

Step 06

Production Basics

Learn Backups, Restore, Connection pooling concept with guided examples, notes, and practical review.

Topic Index
  • Backups
  • Restore
  • Connection pooling concept
  • Performance checks
Practice Work
  • Create examples for Backups, Restore, Connection pooling concept.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A tested PostgreSQL script or data model for Production Basics.

Step 07

Project and Interview

Learn SaaS schema, Analytics queries, PostgreSQL interview points with guided examples, notes, and practical review.

Topic Index
  • SaaS schema
  • Analytics queries
  • PostgreSQL interview points
  • Optimization review
Practice Work
  • Create examples for SaaS schema, Analytics queries, PostgreSQL interview points.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A tested PostgreSQL script or data model for Project and Interview.

Labs, Assignments, Capstone, And Review

This section fills the complete practical syllabus with classroom-style activities, project work, assessment, and portfolio outputs.

Hands-On Labs

  • Design a PostgreSQL data model for users, services, careers, and enquiries.
  • Perform create, read, update, delete, filter, sort, and reporting operations.
  • Practice indexing, constraints, validation, and query optimization basics.
  • Prepare backup, restore, migration, and data quality check notes.
  • PostgreSQL project lab: SaaS user-role database.
  • PostgreSQL project lab: Analytics reporting schema.
  • PostgreSQL project lab: JSONB content module.

Assignments

  • Assignment 01: Complete practical work for PostgreSQL Setup, submit notes, screenshots/output, and doubt list.
  • Assignment 02: Complete practical work for SQL Foundation, submit notes, screenshots/output, and doubt list.
  • Assignment 03: Complete practical work for Advanced Querying, submit notes, screenshots/output, and doubt list.
  • Assignment 04: Complete practical work for JSONB and Indexing, submit notes, screenshots/output, and doubt list.
  • Assignment 05: Complete practical work for Transactions and Integrity, submit notes, screenshots/output, and doubt list.
  • Assignment 06: Complete practical work for Production Basics, submit notes, screenshots/output, and doubt list.
  • Assignment 07: Complete practical work for Project and Interview, submit notes, screenshots/output, and doubt list.

Capstone Project

Production-style data layer using PostgreSQL

Build one complete, review-ready project that proves practical PostgreSQL understanding from foundation to delivery.

  • Schema/data model
  • CRUD and reporting queries
  • Validation/integrity rules
  • Performance/index review
  • Backup and restore plan

Assessment

  • Query writing test
  • Schema design review
  • Performance discussion
  • Data integrity task
  • Real scenario viva

Portfolio Output

  • Database diagram
  • Query file or collection
  • Sample reports
  • Optimization and backup notes
  • SaaS user-role database
  • Analytics reporting schema
  • JSONB content module

Discussion Points

  • SQL vs NoSQL selection
  • How to design scalable data
  • How to explain indexes
  • Database interview questions
  • CTE
  • JSONB
  • Indexes
  • Transactions

Projects, Practice, And Interview Focus

Practice Projects

  • SaaS user-role database
  • Analytics reporting schema
  • JSONB content module

Interview Preparation

  • CTE
  • JSONB
  • Indexes
  • Transactions

Discuss This Syllabus

Share your current level and goal. We will help you select the right sequence, project practice, and interview preparation path.

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