Case Study: Leveraging GenAI for Rapid Course Development on Feline Diabetes Management
Author: [Your Name] | Date: [Date]
Overview
Feline Fancy Veterinary Clinic aimed to reduce emergency visits related to feline diabetes through an educational initiative targeting cat owners. By leveraging AI-driven tools and an agile instructional design approach, we created an interactive e-learning course to bridge the knowledge gap. Typically, a project of this scale would take three months to develop, but with the strategic use of GenAI tools and the absence of traditional stakeholder alignment cycles, we completed the first course in just 13 days.
Project Goals & Business Impact
- Strategic Goal: Reduce emergency visits by 10% (7,000 fewer visits out of 70,000) to decrease operating costs by $150,000–$200,000 annually.
- Diabetes-Specific Goal: Achieve a 20% reduction in diabetes-related emergency visits, preventing approximately 1,400 cases.
- Learning Opportunity: Research indicated that 25% of owners of diabetic cats lacked essential management knowledge, highlighting the need for targeted education.
Project Scope & Deliverables
- First Full Course Development (Built by me)
- Interactive scenario-based learning
- Video story introduction featuring Janice and her cat Bella
- Drag-and-drop interactive activities
- Quick reference guides on diabetes management
- Two Additional Course Outlines (Content created by me, development handled separately)
- Supporting Documentation
- Needs Assessment & Needs Analysis Reports
- Course strategy and AI tool implementation overview
GenAI & Tech Stack Utilization
To expedite development, we leveraged the following tools:
- AI-Powered Content & Media Creation:
- Adobe Firefly: All course imagery
- ElevenLabs: Voice-over for Janice’s video
- Adobe Character Animator: Janice’s animations
- Descript: Animations for podcast-style video
- NotebookLM: AI-assisted scriptwriting for podcast-style segments
- ChatGPT: Drag-and-drop interaction coding
- Course Development & Enhancement:
- Adobe Suite: Multimedia editing
- Articulate Rise: Course creation
- Mighty Plugin for Rise: Advanced course customizations
Results & Key Takeaways
- Accelerated Timeline:
- Traditional development: 3 months
- Actual development: 13 days
- Cost Savings:
- Reduced design time and eliminated unnecessary iterations with GenAI
- Allowed focus on high-impact content rather than lengthy stakeholder reviews
- Scalability:
- The approach can be replicated for future pet health education initiatives
Lessons Learned & Future Applications
This project demonstrated the power of GenAI in transforming instructional design efficiency. While the lack of real-time stakeholder review cycles enabled rapid execution, future iterations would benefit from structured feedback loops to enhance alignment with broader organizational goals. The success of this initiative underscores the potential of AI-driven content creation in veterinary education and beyond.
Want to Learn More?
Discussion Prompt
What are your thoughts on using GenAI for rapid course development? Have you experimented with AI-powered learning experiences in your industry? Let’s discuss in the comments!
— Mel