Using Artificial Intelligence in Real Estate.
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A Specialized Course on Leveraging Artificial Intelligence to Advance the Real Estate Sector
With the rapid pace of digital transformation, artificial intelligence has become a key driver in advancing the real estate sector and improving operational efficiency. This specialized course is designed to highlight how AI technologies can be practically and effectively leveraged to support real estate professionals in making more accurate decisions and gaining a competitive edge in the market.
The course covers the fundamental concepts of artificial intelligence and its applications in real estate, with a strong focus on data-driven insights, intelligent analytics, customer behavior analysis, real estate marketing optimization, property valuation, and customer relationship management. It also introduces modern tools that help automate routine tasks, increase productivity, and enhance service quality.
The course is led by Mr. Ahmed Al-Faqih, who shares practical experience through real-world examples and use cases from the real estate market, demonstrating how AI solutions can be transformed into actionable tools that support daily operations. Additionally, the course addresses the ethical and regulatory aspects of using artificial intelligence to ensure responsible and compliant implementation.
Delivered through an interactive learning approach, the course encourages participant engagement, open discussions, and the exchange of challenges and insights. It also highlights global best practices in applying artificial intelligence within the real estate sector, enabling participants to develop a future-focused vision for integrating smart technologies into their businesses and achieving sustainable growth.
This course targets real estate brokers and professionals interested in digital transformation, whether those seeking to understand the fundamentals of artificial intelligence or experienced practitioners aiming to apply AI more strategically to enhance performance and stay ahead of market changes.




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