Analyze feeding strategies to optimize dairy cow, calf, and heifer health and productivity.

Evaluate key nutritional markers and formulate balanced diets for dairy cattle.

Apply colostrum management and nutrient interactions to enhance cow and calf health.

Understand the physiological changes around calving and their impact on dairy cow health and nutrient needs.

Identify key biomarkers of health and disease and their roles in metabolism, immune function, and liver function.

Diagnose and manage common health problems in dairy cows using metabolic and immune biomarkers.

Apply a systems approach to nutritional management for optimal cow health and productivity.

Discover how AI technologies like IoT and data analytics can boost efficiency and productivity in dairy farming.

Learn to identify, collect, and manage dairy farming data using modern tools and software.

Gain the ability to use machine learning algorithms to analyze dairy farming data and enhance farming practices.

Understand mammary gland anatomy and development stages.

Analyze milk composition and its nutritional variations.

Evaluate mastitis prevention strategies and treatments.

Describe the immune mechanisms involved in intramammary infections.

Analyze the economic impact of mastitis and evaluate treatment decisions using decision trees and cost models.

Apply diagnostic tools such as somatic cell counts and on-farm culturing.

Identify common mastitis-causing pathogens and their characteristics.