Home Events Relational Databases (PostgreSQL) & AI Assistants

Relational Databases (PostgreSQL) & AI Assistants

Description

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.

 

🕒 Duration: 48 hours

👥 Target Audience:

  • Roles: Software Engineers, Backend Developers, Database Engineers

 

  • Seniority: Junior to Mid-Level Professionals
Webinar Content

 

Module 1: 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
Module 2: 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
Module 3: 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
Module 4: Transactions and Data Integrity
  • Transactions & ACID principles 
  • AI Practice: AI explains isolation levels, rollback scenarios
Module 5: Application Integration
  • JDBC integration with Java

 

  • AI Practice: AI scaffolds connection code, CRUD operations
Module 6: Database Programming
  • Views
  • Stored procedures
  • Triggers

 

  • AI Practice: AI generates views and trigger examples
Module 7: 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
Learning Objectives:

After attending this webinar 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
Prerequisite Knowledge
  • Basic understanding of programming concepts
  • Familiarity with command-line tools
  • Introductory knowledge of Java (beneficial for JDBC integration)

 

Tags:

Date

28 May 2026, 16:00-19:00

Cost

Free

Labels

AI-Native
Category

Organizer

Code.Hub
Email
[email protected]

Related Events