Advanced Recognition Systems Training
Master the practical implementation of image and speech recognition technologies through hands-on projects with real business applications. Our autumn 2025 cohort focuses on solving actual challenges you'll encounter in professional environments.
Real-World Implementation Focus
Our program emerged from years of client work where we noticed a gap between academic AI knowledge and practical implementation skills. Students work with the same tools and datasets we use for actual client projects, giving them genuine experience before they graduate.
- Build recognition systems using production-grade frameworks
- Debug and optimize models with real performance constraints
- Handle edge cases and data quality issues from actual deployments
- Collaborate on projects that mirror professional development cycles
- Learn deployment strategies used in Vietnamese market conditions
Learn from Active Practitioners
Marcus Kowalski
Senior Recognition Engineer
Leads our enterprise speech processing projects. Still writes code daily for client implementations while teaching evening sessions.
Elena Varga
Computer Vision Specialist
Develops image recognition solutions for manufacturing clients. Brings fresh debugging stories from current projects to each class.
Program Timeline
Our next intensive program starts in October 2025 and runs for six months. Classes meet twice weekly in the evenings, designed for working professionals who want to transition into recognition systems development.
We keep cohorts small—maximum 16 students—so everyone gets direct feedback on their code and project implementations. Applications open in June 2025.
Get Program DetailsCurriculum Built from Client Needs
We design our curriculum around the most common challenges our clients face. Each module addresses real problems we've encountered in deployment, not theoretical concepts that look good on paper.
Foundation & Data Handling
Start with preprocessing techniques that actually matter in production. Learn to handle messy, inconsistent data like what you'll encounter in real business environments.
Model Implementation & Training
Build recognition systems using established frameworks, focusing on getting reliable results rather than chasing academic benchmarks that don't translate to business value.
Deployment & Optimization
Learn deployment strategies that work with Vietnamese infrastructure constraints. Optimize for real-world conditions including limited bandwidth and varying hardware capabilities.
Maintenance & Troubleshooting
Develop skills for ongoing system maintenance, performance monitoring, and the inevitable debugging sessions that come with production systems.