Kindred Home
AI in Manufacturing
A lecture series examining how automation and machine intelligence are reshaping factory floors, supply chains, and the people who work within them.
Machines don't replace judgment. They expose where it was missing.
Kindred Home launched in 2021 with a specific observation: most manufacturing professionals had no structured way to engage with AI topics that were already affecting their work. Not theory — actual deployment decisions, sensor data pipelines, predictive maintenance schedules.
Geography made it worse. A plant supervisor in northern Ontario had the same questions as one in Vancouver, but neither had local access to relevant instruction. Our platform was built to close that gap without requiring anyone to relocate or pause their career.
Each lecture in this series addresses a specific operational context — quality inspection, logistics routing, energy monitoring, workforce retraining. The content is deliberately narrow so it stays useful, not aspirational.
Two tracks, one platform
Operational Track
- Predictive maintenance with sensor data
- Computer vision for defect detection
- Inventory forecasting using ML models
- Energy consumption pattern analysis
- Real-time process monitoring dashboards
Strategic Track
- AI procurement and vendor evaluation
- Change management for automated workflows
- Data governance in production environments
- ROI framing for leadership conversations
- Workforce transition planning
Who this is for
Plant managers, process engineers, and operations leads navigating their first AI deployment without a dedicated data science team.
Who attends these lectures
Students join from across Canada — from Sudbury to Surrey, from mid-sized fabrication shops to large-scale food processing facilities. The common thread is not company size but a specific, practical question that needs a real answer.
Instructors like Petra Vanhoof and Alistair Drummond bring direct deployment experience, not academic abstractions. Their examples reference actual equipment categories, actual failure modes, and the kind of budget constraints that manufacturing environments actually have.
Sequential delivery matters here. Each lecture builds on the previous one, so the concepts compound rather than repeat. You can follow the logic of an argument across four sessions, not just collect isolated facts.
provinces and territories represented in current cohorts
distinct manufacturing sectors covered across lecture modules
hours of structured lecture content available on demand
