Relational Databases (PostgreSQL) & AI Assistants
Certificate of Completion by Code.Hub
This hands-on course introduces relational database fundamentals and PostgreSQL development while integrating AI-assisted workflows throughout. Participants learn how to design schemas, write and optimize SQL queries, manage transactions, and integrate PostgreSQL with Java applications. AI tools are used to generate queries, explain execution plans, suggest optimizations, and scaffold integration code-emphasizing critical evaluation and responsible AI usage in database engineering.
By the end of this module, participants will be able to:
- Design relational schemas and model data using normalization and ER principles
- Write and optimize SQL queries, including joins, aggregations, and indexing strategies
- Manage transactions, constraints, and database integrity mechanisms
- Integrate PostgreSQL with Java applications using JDBC
- Use AI tools to generate, analyze, and improve database queries while validating correctness and performance
Relational Database Foundations
Relational databases overview
PostgreSQL setup
Client tools
AI Practice: AI explains concepts (tables, keys, normalization)
Git & SQL scripts
Project organization
AI Practice: AI generates schema templates, Git commit messages
SQL Fundamentals
Basic SQL: SELECT, WHERE, ORDER BY
AI Practice: AI generates queries and explains results
Data modeling & ER diagrams
AI Practice: AI suggests tables, relationships, primary/foreign keys
Data Modeling and Schema Design
Advanced SQL: JOINs, GROUP BY, aggregates
AI Practice: AI generates complex queries, explains execution
Indexing & constraints
AI Practice: AI suggests indexes, constraints, uniqueness
Transactions and Data Integrity
Transactions & ACID principles
AI Practice: AI explains isolation levels, rollback scenarios
Application Integration
JDBC integration with Java
AI Practice: AI scaffolds connection code, CRUD operations
Database Programming
Views
Stored procedures
Triggers
AI Practice: AI generates views and trigger examples
Performance and Operations
Query optimization & EXPLAIN
AI Practice: AI suggests query improvements
Backup
Restore
Migrations
AI Practice: AI suggests migration scripts and versioning strategies
Capstone Project
Capstone Project Development
AI Practice: AI scaffolds database, queries, and JDBC integration
- Roles: Software Engineers, Backend Developers, Database Engineers
- Seniority: Junior to Mid-Level Professionals
- Basic understanding of programming concepts
- Familiarity with command-line tools
- Introductory knowledge of Java (beneficial for JDBC integration)
Interested for
