Manufacturing Intelligence Training
We're running cohort-based programs starting Fall 2025. Real factory floors, actual production data, and hands-on problem solving. Not theory — just what works when you're trying to keep machines running and optimize throughput.
Foundational Cohort
12-week intensive running Tuesday/Thursday evenings. Covers predictive maintenance basics, anomaly detection, and quality control systems.
Best for: Engineers and operators looking to add AI skills to existing manufacturing knowledge.
Advanced Implementation
8-week accelerated program for teams already running basic automation. We'll work through deployment challenges and scaling strategies.
Best for: Operations managers planning facility-wide rollouts.
Executive Workshop
Intensive 3-day session focused on ROI analysis, vendor evaluation, and change management for manufacturing AI projects.
Best for: Directors and VPs planning strategic tech investments.
What You'll Actually Build
Each program runs through real manufacturing scenarios. You'll work with datasets from actual production lines and build systems that could go live tomorrow.
Sensor Integration & Data Collection
Start with getting clean data from equipment. Most AI projects fail here, so we spend real time on it. You'll connect to PLCs, handle missing readings, and set up monitoring dashboards.
Pattern Recognition Systems
Build models that spot problems before they shut down production. We use historical failure data and teach you to tune alerts so operators don't ignore them.
Quality Control Automation
Computer vision for defect detection. You'll train systems on real product images and learn how to handle the edge cases that always show up in production.
Deployment & Maintenance
Getting it running is one thing. Keeping it running is another. We cover monitoring, retraining schedules, and how to explain results to people who just want things to work.
Who's Teaching This
People who've actually deployed these systems in factories. They've dealt with the dust, the vibration, and the 3am calls when something breaks.
Brenton Keighley
Spent 8 years building maintenance prediction models for automotive plants. Started as a production engineer, got tired of unplanned downtime.
Elio Marchetti
Built vision inspection systems for electronics manufacturing. Used to do manual quality checks himself, knows what actually matters on the line.
Rosalind Thorp
Connects AI systems to legacy equipment that's been running since 1987. If it has a serial port and questionable documentation, she's dealt with it.
Vilmar Porcelli
Works with plant managers on capacity planning and efficiency projects. Good at explaining why the math matters when you're trying to hit production targets.
How It Actually Works
Classes meet twice weekly for three hours. First hour is usually reviewing what happened when people tried implementing last week's techniques. Then we work through new material. Last hour is open troubleshooting.
You'll need basic Python knowledge and some understanding of manufacturing processes. We're not teaching you what a PLC is — we're teaching you how to pull data from one.
Most participants work through projects related to their own facilities. Brings up interesting problems we might not think of, and you leave with something you can actually use.
Applications for Fall 2025 cohorts open in June. We cap groups at 15 people because smaller lets us dig into specific challenges everyone's facing.
