Machine Learning Training Programs
We're launching a comprehensive ML training program in September 2025. It's designed for people who want practical skills, not just theory. Classes are small because we've learned that's when students actually learn.
Get Early Registration InfoWho Teaches This Stuff?
Our instructors work on actual ML projects during the day. One runs model deployment for an e-commerce platform. Another builds recommendation systems.
They teach evenings and weekends because—and I'm being honest here—they remember struggling to learn this themselves. The curriculum reflects what they wish someone had taught them three years ago.
Thaddeus Knappe
Deep Learning Specialist
Olaf Bremner
Applied ML Engineer
What You'll Actually Work On
Three phases. Each builds on what came before. By the end, you'll have projects you can show potential employers or clients.
Foundation Phase
Python fundamentals, data handling with pandas, and basic statistics. Nothing fancy yet. We cover linear regression and classification models. You'll work with real datasets—messy ones that need cleaning. Most students find this part challenging but manageable if they put in the hours.
Neural Networks & Deep Learning
This is where it gets interesting. You'll build neural networks using TensorFlow and PyTorch. We focus on computer vision and natural language processing. One student last year built a system that identifies damaged products in warehouse photos—that actually landed her a job interview.
Deployment & Production
The part most courses skip. You'll deploy models to cloud platforms, set up monitoring, and handle version control. We cover Docker containers and API development. It's technical, but these are the skills companies actually need when they're hiring.
How Classes Work in Practice
Classes meet twice weekly at our Gò Vấp location. Tuesday evenings and Saturday mornings. Each session runs three hours with a break in the middle.
We cap enrollment at 12 students. When groups get bigger, people stop asking questions. You'll have access to our lab computers with GPU setups, though many students prefer bringing their own laptops.
Between classes, there's project work. Some weeks it's light—maybe four hours. Other weeks, especially during the neural networks phase, expect closer to eight hours of coding and debugging.
Schedule a Visit →September 2025 Cohort Schedule
The program runs 24 weeks. That's about six months from start to finish.
Sept - Oct 2025
Weeks 1-8
Foundation phase begins September 8th. Python basics, data manipulation, supervised learning algorithms. First project due end of week 8.
Nov - Dec 2025
Weeks 9-16
Deep learning phase. Neural network architectures, CNNs for image work, RNNs for sequences. Holiday break during last week of December.
Jan - Feb 2026
Weeks 17-24
Production deployment phase. Final capstone project presentations in late February. Students have presented to local companies looking to hire ML talent.