AI For Appraisal Practice: Practical Applications Across Sectors
AI for Appraisal Practice
November 13, 2025
Start Time: 12pm MST (2pm EST, 1pm CT, 11am PST)
End Time: 2pm MST
Registration Link will open 20 minutes prior to the class starting.
The AI for Appraisal Practice program introduces commercial and residential appraisers to practical, high-ROI applications of artificial intelligence, highlighting both sector-specific tools and cross-industry best practices. In the commercial track, participants learn to use platforms like ChatGPT, Claude, and Gemini for document analysis, market research, comp development, and custom workflow enhancements, including retrieval-augmented databases for knowledge reuse. The residential track focuses on narrow AI solutions such as market trend analyzers, automated regression graphing, sentiment analysis of agent remarks, and business growth tools like bid summarization and referral pipeline automation. Across both tracks, the course emphasizes building reusable AI assistants, integrating technology into existing workflows, and maintaining compliance, with specific attention to avoiding AI hallucinations, mitigating bias, and ensuring adherence to Fair Housing standards.
Reminders to Receive Credit for this Course:
1. Register for the course with your full name, as it appears on your license
2. Login to the course with your full name, as it appears on your license
3. Have and maintain an active video feed for the duration of the course 4. Ensure your face is in full view for the duration of the course
5. Ensure that you are an active participant throughout the course Being an Active Participant means that the student is engaged in the material and is not distracted or multitasking. By analogy, active participation for a live online course is like attending a live course. In a live course setting, students are alert and not talking on the telephone, traveling, running errands, or taking mid-lesson breaks during the class. All licensees should understand that failure to comply with the Division's expectations may result in denial of continuing education credit for a course.
