This course provides a comprehensive introduction to artificial intelligence for veterinary professionals. It covers foundational AI concepts (machine learning, neural networks, and deep learning), machine learning model development and evaluation, large language models and prompt engineering, and AI tools for scientific literature search and writing. You will also explore the current landscape of veterinary AI products, as well as the ethical and legal considerations of using AI in clinical practice.
The curriculum aligns with recommendations from major veterinary professional organizations, including the British Veterinary Association, the American Association of Veterinary State Boards, the American College of Veterinary Radiology, the Canadian Veterinary Medical Association, and the College of Veterinarians of Ontario. These bodies collectively call on licensed veterinarians to understand AI capabilities and limitations, critically evaluate commercial AI products, maintain accountability for AI-assisted clinical decisions, and uphold informed consent and data privacy standards.
The course framework has been peer-reviewed and published in Frontiers in Veterinary Science (Huang and Chu, 2026, doi: 10.3389/fvets.2026.1801756).
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Dr Rob Clark
DVM CCRT
Improve Veterinary Education's Small Animal Surgery certificate gives veterinarians the skills to take on more challenging surgical cases. Finding a resource that offers practitioners both practical experiences, and the knowledge behind more c … Read more
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DVM, GPCert (SAS)
I am an associate veterinarian working in an emergency hospital in Canada who has always had a strong passion for surgery. I have been in practice for 10 years now and I am always on the lookout for high quality CE opportunities, and I was very ex … Read more
Key features of this program
100% Online
Giving you access 24/7 via our world-leading Learning Management Platform
1-year unlimited access
Providing you all the materials you need to test your knowledge as you work
5 varied modules
Designed by an experienced veterinary clinical pathologist and award-winning investigator, Candice P. Chu
Professional Expertise
Gain expertise and support your professional growth in veterinary surgery
100% Online
Giving you access 24/7 via our world-leading Learning Management Platform1-year unlimited access
Providing you all the materials you need to test your knowledge as you work5 varied modules
Designed by an experienced veterinary clinical pathologist and award-winning investigator, Candice P. ChuProfessional Expertise
Gain expertise and support your professional growth in veterinary surgeryProgram details
Module Summary
01 - Fundamentals of artificial intelligence (AI)
Overview of foundational artificial intelligence concepts, including machine learning, neural networks, and deep learning
02 - Large language models (LLM) and prompt engineering, LLM in veterinary clinical research
This module contatains 2 core subject areas:
Large language models (LLM) and prompt engineeringOverview of large language models, including transformer-based architectures, and principles of effective prompt engineering for veterinary applications
LLM in veterinary clinical research
Introduction to the principles of natural language processing in veterinary clinical research, with a practical focus on extracting structured data from unstructured clinical narratives and selecting appropriate AI tools based on dataset size, accuracy needs, and privacy considerations
03 - Machine learning (ML)
A deeper dive into major machine learning paradigms, including model training, validation, and evaluation, with clinical veterinary examples illustrating data preparation workflows and interpretation of performance metrics
04 - AI in Veterinary Practice: Tools, Professional Guidance, and Legal Considerations
This module contains three core sections:
Landscape of current veterinary AI productsExamination of current AI-driven products in veterinary medicine, including applications in notetaking, radiology, clinical pathology, and patient monitoring
Overview of veterinary organizations’ position statements on AI
Overview of position and policy statements on artificial intelligence published by major veterinary professional organizations
Legal considerations and liability when using AI tools in clinics
Discussion of client informed consent, liability considerations, and relevant legal scenarios related to the clinical use of AI tools
05 - Enhancing the Research Process with AI: From Literature Search to Presentation
This module contatains 3 core subject areas:
AI in academic literature search
Overview of traditional and AI-enhanced literature search strategies in veterinary medicine, demonstrating how Google Scholar, PubMed, and generative AI tools can be combined to efficiently identify clinically relevant evidence
Ethical use of AI in scientific writing
Discussion of ethical considerations surrounding AI-assisted scientific writing, including current regulations, best practices, and potential risks
AI and digital tools for slide presentationPractical session on preparing scientific presentations using AI-assisted and digital tools such as Claude add-in, NotebookLM, Canva, and Gamma
Qualifications
Certificate (Cert)
This course is accredited by ISVPS and allows you to achieve a Certificate
Speaker
Pricing
$750.00
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