Livestock Management

Course Description

A fast, practical primer on how AI is reshaping day-to-day livestock operations—from proactive herd health and welfare to smarter feeding and productivity gains. You’ll see where sensors, computer vision, and predictive analytics fit into existing workflows, the business value they unlock, and the guardrails needed for responsible adoption.

Who Should Take This Course

Farm owners and managers, operations leads, veterinarians and animal welfare officers, agri-tech champions, data-minded consultants, and non-technical decision-makers tasked with evaluating or rolling out AI in livestock settings.

Prerequisites

No prior experience needed.

What You Will Learn

• How sensor data and wearables support early health monitoring and intervention.
• Where computer vision and facial recognition can identify individual animals and automate routine checks.
• Ways to use behaviour modelling and anomaly detection to flag stress, illness, or biosecurity risks.
• Approaches to feed optimisation, growth and weight prediction, and cost–yield improvement.
• How to assess ROI, data quality, ethics, and privacy, and plan a low-risk pilot for your organisation.