AI+ Real Estate™

AI+ Real Estate™

AI in Real Estate: Pioneering the Future of Property Innovation

Certificate Code: AP - 5401

About This Course

  • 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. 

Certificate Overview

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

  • Instructor-Led: 1 day (live or virtual)
  • Self-Paced: 8 hours of content

 

Prerequisites

Basic understanding of real estate concepts such as valuation, marketing, property management, familiarity with digital tools, and an open mindset towards adopting AI in real estate operations.

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

Course Modules

1

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

    1. 1.1 Introduction to AI
    2. 1.2 Types of Machine Learning (ML) in Real Estate
    3. 1.3 Challenges & Limitations of AI
    4. 1.4 Use Cases
    5. 1.5 Case Study
    6. 1.6 Hands-on
2

Module 2: AI in Property Valuation & Price Prediction

  1. 2.1 How AI Estimates Property Values
  2. 2.2 Comparative Market Analysis (CMA) with AI
  3. 2.3 AI for Future Market Trend Forecasting
  4. 2.4 Use Cases
  5. 2.5 Case Study
  6. 2.6 Hands-on
3

Module 3: AI in Marketing & Lead Generation

    1. 3.1 AI for Real Estate Marketing & Personalization
    2. 3.2 AI Chatbots & Virtual Assistants
    3. 3.3 AI in Social Media & SEO
    4. 3.4 Use Cases
    5. 3.5 Case Study
    6. 3.6 Hands-on
4

Module 4: AI for Fraud Detection & Risk Management

  1. 4.1 AI for Detecting Real Estate Fraud
  2. 4.2 AI for Loan & Mortgage Risk Assessment
  3. 4.3 AI for Anti-Money Laundering (AML) in Real Estate
  4. 4.4 Use Cases
  5. 4.5 Case Study
  6. 4.6 Hands-on
5

Module 5: AI in Smart Homes & Property Automation

  1. 5.1 AI-Powered Smart Homes & IoT
  2. 5.2 AI for Energy Efficiency & Sustainability
  3. 5.3 AI-Enhanced Security & Surveillance
  4. 5.4 Use Cases
  5. 5.5 Case Study
  6. 5.6 Hands-on
6

Module 6: AI in Compliance & Ethics

  1. 6.1 AI’s Role in Fair Lending & Bias Detection
  2. 6.2 AI-Powered Legal Document Verification
  3. 6.3 Regulatory Challenges & Ethical Concerns
  4. 6.4 Use Cases
  5. 6.5 Case Study
  6. 6.6 Hands-on
7

Module 7: AI for Business Strategy & Decision-Making

  1. 7.1 AI in Real Estate Investment & Site Selection
  2. 7.2 AI-Driven Risk Management & Predictive Maintenance
  3. 7.3 AI in Real Estate Portfolio Optimization
  4. 7.4 Use Cases
  5. 7.5 Case Study
  6. 7.6 Hands-on
8

Module 8: AI Strategy & Capstone Project

  1. 8.1 Real-World Case Study: “End-to-End AI Implementation in Real Estate”
  2. 8.2 Final Project: AI Strategy Implementation

AI Tools You'll Learn

TensorFlow

TensorFlow

Keras

Keras

Hadoop

Hadoop

Power BI

Power BI

Python

Python

Tableau

Tableau

Matplotlib

Matplotlib

SQL

SQL