Course Description
A fast, practical introduction to how modern AI improves food production and processing—from predicting equipment failures and optimizing formulations to automating packaging and evaluating taste and texture. Learn where AI delivers measurable value, how to start small, and how to scale safely to reduce waste, boost yield, and enhance product consistency.
Who Should Take This Course
Designed for operations managers, quality leaders, process engineers, production supervisors, R&D and NPD teams, and continuous improvement or data-curious business professionals who need a non-technical, outcomes-focused overview of AI in manufacturing.
Prerequisites
No prior experience needed. Familiarity with basic manufacturing KPIs (e.g., OEE, yield, scrap) and comfort with spreadsheets is helpful but not required.
What You Will Learn
- How predictive maintenance models reduce unplanned downtime and safeguard critical assets in food plants.
- Ways AI can optimize recipes and formulations to balance cost, nutrition, labeling constraints, and sensory targets.
- Where robotics and computer vision streamline packaging and handling while improving throughput and traceability.
- How sensory AI assesses taste and texture to accelerate product development and standardize quality.
- Steps to pilot AI responsibly, including data readiness, risk controls (HACCP-aligned), and change management.