AI+ Real Estate

Hours: 8 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 8
Retail Price: $195.00

Course Overview:

This course explores the transformative role of AI in real estate, guiding students from the fundamentals of automated valuation models and smart home systems to advanced applications in dynamic market forecasting and fraud detection. You will develop specialized expertise in AI-driven investment strategies, risk management, and energy optimization to significantly enhance operational efficiency and business performance. The program concludes with a hands-on capstone project where you will engineer practical solutions for real-world challenges, such as automating property pricing and securing high-stakes transactions.

Recommended 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.

Course Outline:

Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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

All necessary course materials are included.


System Requirements:

Internet Connectivity Requirements:

  • Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

  • CPU: 1 GHz or higher
  • RAM: 4 GB or higher
  • Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
  • Speakers / Headphones
  • Microphone for Webinar or Live Online sessions.

Operating System Requirements:

  • Windows 7 or higher.
  • Mac OSX 10 or higher.
  • Latest Chrome OS
  • Latest Linux Distributions

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

  • Latest Google Chrome is recommended for the best experience.
  • Latest Mozilla FireFox
  • Latest Microsoft Edge
  • Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

  • Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
  • PDF reader program (Adobe Reader, FoxIt)
  • Courses may require other software that is described in the above course outline.


** The course outlines displayed on this website are subject to change at any time without prior notice. **