Orlando, Florida - July 19-21
Registration ends July 18. The Xactimate Training Course is designed for new to intermediate Xactimate users.
CLASS INCLUDES:
Xactimate Fundamentals/Proficiency workbook (350 pages) - $59 value
Promo code – $10 off Xactimate User Certification! (Level 1, 2, 3) – Up to $30 value!
Certificate of Completion (.pdf)
Xactimate Shortcut mousepad
15 C.E. credits for Florida 620 Adjusters.
This three day class, for beginning to intermediate Xactimate users, is perfect for restoration contractors, water mitigation technicians, adjusters, and estimators, who want to learn the most efficient ways to interior and roof diagrams using Sketch, set-up preferences, enter a scope of repairs, generate professional estimate reports, and more! All this is done while preparing you for Xactware’s Level 1 and 2 User Certification exams. Classes will run from 9-5, but please arrive 15 minutes early for setup to begin promptly at 9.
Hand sanitizer will be provided, but to satisfy your comfort level please bring the mask of your choosing as you can not attend the class without one.
Please Note: Xactimate is not compatible with Mac Products or Chromebook (windows laptop needed)
Class will be held at:
Comfort Inn & Suites
7495 Canada Ave
Orlando, FL 32819
407-351-7000
Cancellation Policy:
- You may at any time transfer to any other scheduled class or receive the self paced training in lieu of the classroom training in which case the difference between the Self-Paced Training and Live Classroom tuition will be refunded to your credit card.
- If notification of non-attendance is given more than 7 days prior to the start of a scheduled class, your full tuition will be refunded to your credit card.
- If notification of non-attendance is given less than 8 days prior to the start of a scheduled class, 50% of your tuition will be refunded to your credit card as we will not have time to fill your reserved seat.
Each CREST, LLC class is conducted by an Xactimate Certified Trainer (XCT), who is an experienced field adjuster and estimator.