Module 1: Introduction to PostgreSQL

• What is PostgreSQL?
• Features and Advantages
• PostgreSQL Architecture
• Installation and Setup (Windows, Linux)
• Creating and Managing Databases

Module 2: PostgreSQL Basics

• Basic SQL Syntax
• Data Types in PostgreSQL
• Creating Tables and Managing Schema
• INSERT, SELECT, UPDATE, DELETE Commands
• Using psql Command-Line Tool

Module 3: Advanced SQL Operations

• Complex Queries with WHERE, AND, OR, and NOT
• Using ORDER BY, LIMIT, and OFFSET
• Working with NULL Values
• Implementing Subqueries and Joins

Module 4: Data Modeling and Constraints

• Understanding Primary and Foreign Keys
• Constraints: CHECK, UNIQUE, NOT NULL
• Creating and Managing Indexes
• Data Normalization Principles

Module 5: Functions and Stored Procedures

• Introduction to Functions in PostgreSQL
• Creating and Using Functions
• Writing Stored Procedures
• Using PL/pgSQL for Advanced Logic

Module 6: Triggers and Events

• Understanding Triggers
• Creating and Managing Triggers
• Implementing Event-Driven Actions
• Auditing and Logging with Triggers

Module 7: Transactions and Concurrency Control

• ACID Principles in PostgreSQL
• Using Transactions with BEGIN, COMMIT, and ROLLBACK
• Isolation Levels and Locking Mechanisms
• Deadlock Handling Strategies

Module 8: PostgreSQL Performance Optimization

• Understanding Query Execution Plans
• Using EXPLAIN and ANALYZE
• Indexing Strategies for Performance
• Optimizing Joins and Subqueries

Module 9: Backup and Recovery

• Strategies for Data Backup
• Using pg_dump and pg_restore
• Point-in-Time Recovery (PITR)
• Disaster Recovery Best Practices

Module 10: Security and Access Control

• User Roles and Permissions
• Managing Access Control Lists (ACL)
• Securing Data with Encryption
• PostgreSQL SSL Configuration

Module 11: Advanced Data Types and Extensions

• Working with JSON, XML, and Arrays
• Using PostGIS for Geospatial Data
• Implementing Full-Text Search
• Exploring PostgreSQL Extensions

Module 12: Partitioning and Sharding

• Data Partitioning Techniques
• Partitioning Strategies (Range, List, Hash)
• Scaling with Sharding Methods
• Managing Large Data Volumes

Module 13: PostgreSQL for Developers

• Connecting PostgreSQL with Python, Node.js, and Java
• Writing Efficient SQL Queries for Applications
• Using ORMs like SQLAlchemy and Django ORM

Module 14: Database Administration (DBA)

• Database Maintenance Strategies
• Monitoring Database Health with pg_stat_activity
• Handling Database Errors and Crashes
• Automating Administrative Tasks

Module 15: Real-World Projects and Case Studies

• Building a Blogging Platform with PostgreSQL
• E-commerce Database Design
• Real-Time Analytics Using PostgreSQL
• Best Practices for Enterprise-Level Deployments