Technical training
Courses in database administration, software development, and AI
Hands-on courses cover production database architecture, backups, and tuning, modern frontend and backend development, and applied AI topics including machine learning models and data handling.
Training tracks
Three paths, one practical standard
Each track combines structured lectures with applied exercises so learners leave able to work on real systems.
Database Administration
Covers Oracle, MySQL, MSSQL, and PostgreSQL: production architectures, backup and recovery, and performance tuning.
Full-Stack Software Development
Frontend and backend work with .NET, PHP, React, Java, Python, and Flutter for web and mobile applications.
Applied AI Concepts
Machine learning model basics, data handling, and automated application logic built on practical projects.
How training works
From theory to production
Learning moves in three stages, each building on the last.
01
Core theory
Lectures establish architecture, language, and method before any system is touched.
02
Live sandbox labs
Guided labs run on realistic databases and codebases where learners practice tuning, debugging, and building.
03
Capstone projects
A production-style project closes each track, reviewed against the workflow standards used on client work.
Ask about schedules and enrollment
The admissions team can share current course dates, formats, and lab prerequisites.