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Applications of Artificial Intelligence in Veterinary Science

Applications of Artificial Intelligence in Veterinary Science
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Applications of Artificial Intelligence in Veterinary Science

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Learning Objectives

  1. Understand the fundamentals and applications of AI in veterinary science.

  2. Explore AI-based techniques for animal disease detection, prediction, and diagnosis.

  3. Understand the role of AI in veterinary medical imaging and healthcare.

  4. Apply AI concepts in animal nutrition, feed management, and production monitoring.

  5. Explore computer vision, precision livestock farming, and AI-based veterinary decision support systems.

Why Enroll in This Course?

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Why This Course Matters

  1. Introduction to AI in Veterinary Science: Understand AI fundamentals, Machine Learning, and their applications in veterinary healthcare and animal management.

  2. AI for Disease Detection and Prediction: Explore AI-based approaches for early disease identification, health risk prediction, and disease surveillance in animals.

  3. AI in Veterinary Medical Imaging: Learn how AI and computer vision support the analysis of X-rays, ultrasound, and other veterinary diagnostic images.

  4. AI for Nutrition, Feed and Animal Production: Understand AI applications in nutritional planning, feed optimization, growth monitoring, and animal productivity.

  5. Computer Vision, Animal Behavior and Precision Livestock Farming: Explore animal identification, behaviour monitoring, activity tracking, and automated livestock management using AI.

  6. AI in Poultry, Veterinary Decision Support & Future Trends: Discover AI applications in poultry health and production, intelligent veterinary decision support systems, emerging innovations, challenges, and future opportunities in veterinary science.

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What You'll Learn in Each Module

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Overview & Objectives

Overview & Objectives

Applications of Artificial Intelligence in Veterinary Science

Structured online learning designed to help learners build practical speaking, presentation and interpersonal ability.

About This Course

The video course explores the applications of Artificial Intelligence (AI) in modern veterinary science and animal healthcare. Learners will understand how AI, Machine Learning, computer vision, and medical imaging technologies support disease detection, diagnosis, nutrition management, animal behaviour monitoring, and livestock production. The course combines emerging technologies, practical applications, and real-world case studies to develop industry-relevant skills in AI-driven veterinary healthcare and precision livestock farming.

Meet Your Trainer

T. Monika Singh

T. Monika Singh received her M.Tech degree in Computer Science and Engineering from Osmania University and is currently pursuing a Ph.D. in the Department of Information Technology at Annamalai University. Since 2017, she has been serving as a faculty member in the Department of Computer Science and Engineering at Stanley College of Engineering and Technology for Women. She has extensive experience in both teaching and research and is certified as a Project-Based Learning (PBL) mentor by Wipro, in addition to holding a TalentNext certification in Java Full Stack Development. Her primary research interest is in the field of Machine Learning, and she has authored many research publications indexed in Scopus, along with several other papers published in reputed national and international journals and conferences. She also holds a patent to her name and is an active member of the Association for Computing Machinery (ACM), demonstrating a strong commitment to advancing technological education and innovation.