AI+ Real Estate™

AI in Real Estate: Pioneering the Future of Property Innovation

• Foundational Insights: Understand the core AI technologies shaping real estate, from automated valuation models to predictive analytics and smart home systems. 
• Advanced Applications: Master AI tools for property valuation, dynamic market forecasting, fraud detection, targeted marketing, enhancing decision-making and operational efficiency. 
• Specialized Expertise: Deepen your knowledge of AI in investment strategies, risk management, energy optimization, and compliance to unlock new levels of business performance. 
• Capstone Project: Create AI-driven solutions for real-world real estate challenges—automating pricing, optimizing property investments, and securing transactions. 

Module 1: Introduction to AI & Machine Learning in Real Estate

• 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

Module 2: AI in Property Valuation & Price Prediction

• 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

Module 3: AI in Marketing & Lead Generation

• 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

Module 4: AI for Fraud Detection & Risk Management

• 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

Module 5: AI in Smart Homes & Property Automation

• 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

Module 6: AI in Compliance & Ethics

• 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

Module 7: AI for Business Strategy & Decision-Making

• 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

Module 8: AI Strategy & Capstone Project

• 8.1 Real-World Case Study: “End-to-End AI Implementation in Real Estate”
• 8.2 Final Project: AI Strategy Implementation

Tools you will explore

• TensorFlow
• Keras
• Hadoop
• Power BI
• Python
• Tableau
• Matplotlib
• SQL

Exam: 50 questions, 70% passing, 90 minutes, online proctored examInstructor-led OR Self-paced course + Official exam + Digital badge