- Date
- November 13, 2025
- Time
- 12:00PM - 2:00PM (MST)
- Sponsor
- Colorado Chapter
- Location
- Virtual Classroom
Virtual Classroom
- Instructor
- Justin Gohn
Chandra Mast
- Full Price
- $20.00
- AI Price
- $0.00
Course Description
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.
Who Should Enroll
State Approvals
| State | QE/CE | Course & Exam | Course Only | Exam Only | Delivery Format | Approval Format | Start Date | Expire Date | State Code |
|---|---|---|---|---|---|---|---|---|---|
| CO | CE | 2 | Synchronous | Livestream | 08/13/2025 | 02/13/2026 | 2981 (Colorado Chapter) |
Course Objectives
1. Understand AI's Role in Appraisal Practice - Explain how artificial intelligence is being adopted across commercial and residential valuation, including its potential to improve accuracy, speed, and compliance.
2. Identify and Evaluate Core AI Tools - Compare leading AI platforms (e.g., ChatGPT, Claude, Gemini) and assess their strengths for research, document review, market analysis, and workflow integration.
3. Apply AI to Real-World Appraisal Tasks - Demonstrate how AI can support tasks such as lease abstraction, comp development, market condition analysis, regression graph creation, and sentiment analysis of property remarks.
4. Implement AI for Workflow Automation and Business Development - Utilize AI to automate bid/RFQ summarization, streamline outreach, and create reusable GPT-based assistants for ongoing productivity gains.
5. Leverage Knowledge Reuse and Data Mining - Build internal, searchable databases and retrieval-augmented systems to extract insights from prior appraisal work for improved efficiency and quality control.
6. Recognize and Mitigate AI Bias and Fair Housing Risks - Identify potential AI hallucinations, algorithmic bias, and compliance pitfalls, ensuring that AI-assisted appraisal processes uphold Fair Housing laws and ethical standards.
Event Information
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.
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.