AI+ Real Estate™
AI in Real Estate: Pioneering the Future of Property Innovation
This course shows how AI is transforming the real estate industry, from automated valuation models to predictive analytics and smart home systems. Learners gain hands-on experience mastering AI tools for property valuation, market forecasting, fraud detection, and targeted marketing, building skills that enhance decision-making and operational efficiency. The program also develops specialized expertise in investment strategies, risk management, energy optimization, and compliance, enabling participants to drive better business performance. Finally, learners apply their knowledge through a capstone project, creating AI-driven solutions for real-world challenges such as automated pricing, optimized property investments, and secure transactions.
Enrollment Fee:
MUR 6,045
What You'll Learn
1.1 Introduction to AI
1.2 Types of Machine Learning (ML) in Real Estate
1.3 Challenges & Limitations of AI
1.4 Use Cases
1.5 Case Study
1.6 Hands-on
2.1 How AI Estimates Property Values
2.2 Comparative Market Analysis (CMA) with AI
2.3 AI for Future Market Trend Forecasting
2.4 Use Cases
2.5 Case Study
2.6 Hands-on
3.1 AI for Real Estate Marketing & Personalization
3.2 AI Chatbots & Virtual Assistants
3.3 AI in Social Media & SEO
3.4 Use Cases
3.5 Case Study
3.6 Hands-on
4.1 AI for Detecting Real Estate Fraud
4.2 AI for Loan & Mortgage Risk Assessment
4.3 AI for Anti-Money Laundering (AML) in Real Estate
4.4 Use Cases
4.5 Case Study
4.6 Hands-on
5.1 AI-Powered Smart Homes & IoT
5.2 AI for Energy Efficiency & Sustainability
5.3 AI-Enhanced Security & Surveillance
5.4 Use Cases
5.5 Case Study
5.6 Hands-on
6.1 AI’s Role in Fair Lending & Bias Detection
6.2 AI-Powered Legal Document Verification
6.3 Regulatory Challenges & Ethical Concerns
6.4 Use Cases
6.5 Case Study
6.6 Hands-on
7.1 AI in Real Estate Investment & Site Selection
7.2 AI-Driven Risk Management & Predictive Maintenance
7.3 AI in Real Estate Portfolio Optimization
7.4 Use Cases
7.5 Case Study
7.6 Hands-on
8.1 Real-World Case Study: “End-to-End AI Implementation in Real Estate”
8.2 Final Project: AI Strategy Implementation
Prerequisites
- Basic real estate knowledge (valuation, marketing, property management).
- Familiarity with digital tools (no coding required).
- Open mindset to adopting AI in real estate operations.
Exam Details
Duration:
90 minutes
Passing Score:
70% (35/50)
Format:
50 multiple-choice/multiple-response questions
Delivery Method:
Online via proctored exam platform (flexible scheduling)
Unlock Self-Paced Online Learning
- Unlock Self-Paced Online Learning
- Access learning anytime, anywhere, with built-in quizzes to measure progress.
- Enrollment Fee: MUR 6,045