Artificial Intelligence in Real Estate workshop ( In Person )
Thursday, September 18, 2025 (9:00 AM - 12:00 PM) (CDT)
Description
Designed for real estate agents who want to learn the basics of artificial intelligence (AI) as well as practical applications of AI in the real estate industry, this introductory course on AI in real estate covers the evolution of AI, potential benefits and pitfalls of AI, and hands-on experience in using some of the most popular AI tools currently available. By the end of the course, participants will have a solid understanding of basic AI and how it can be applied to their businesses. With over half of the course slated for a hand-on workshop, participants will also leave the class with unique materials suitable for immediate use in their business as well as ideas for further applications of AI. This course is suitable for real estate agents who are comfortable using basic online tools such as online email, search engines, and Facebook. In-depth technical experience is not required.
Course #52429
Texas REALTORS® Provider #0001
Instructor: Jossie Rees
CE: 3 hours
If you require special accommodations to fully participate in a class, send a written description of your needs to the host. For pricing or other information, call the contact number listed. For qualifying courses, you must pass the exam and send your course completion certificate to TREC to receive credit.
Refund/Cancellation Policy:
A full refund will be issued if written notification is received 72 hours prior to class date, otherwise a $25 cancellation fee will be deducted from your refund.
*GMAR University Students: You still MUST register to attend courses. A $25 Fee will be assessed to no-show registrants.
- No refunds will be issued after day of class.
- Classes are automatically canceled if there are no more than 10 registrants 72 hours prior to class date.
- When classes are canceled due to no registrants, we will not register any walk-ins the day-of.
1324 E Nolana Avenue
Mc Allen, TX 78504 United States
Education Courses
2