AI+ Real Estate™

AI Business

AI+ Real Estate™

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.

All prices are in NZD, ex GST (15%).

Funding support available — “eligible learners may access government grants or employer sponsorships for this course.”

Overview
What You’ll Learn
Certification Modules
Industry Opportunities
FAQ’s
Prerequisites
Exam Details
Exam Blueprint
Core AI Tools Covered

At a Glance: Course + Exam Overview

Category	AI Business AI Professional	Program Name:	AI+ Real Estate™
Exam Format	50 questions, 70% passing, 90 Minutes	Duration:	Instructor-Led: 1 Day Self-Paced: 8 hours of content

🤝 You’re never on your own — Parasol Concierge Support provides integration guidance and expert VA assistance so you can focus on mastering skills while we handle the setup details.

WHAT You'll Learn

AI-Driven Property Valuation

Learn to apply AI models for accurate, real-time property assessments and market analysis.

Predictive Market Trends

Understand how AI can forecast real estate market shifts and identify investment opportunities.

Smart Building Integration

Gain expertise in implementing AI and IoT technologies for energy-efficient, automated building systems.

Real-Time Property Management

Master AI tools for optimizing property operations, tenant relations, and maintenance scheduling.

CERTIFICATION Modules

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

Industry opportunities

AI Real Estate Consultant

Advise real estate firms on incorporating AI solutions to enhance property valuation, market analysis, and customer engagement.

Property Technology Manager

Lead the deployment and integration of AI-powered tools in property management, ensuring efficient operations and tenant satisfaction.

AI-Driven Real Estate Analyst

Design and implement AI algorithms to predict market trends, analyze property data, and support investment strategies.

Real Estate Operations Manager (AI-enabled)

Oversee real estate operations using AI to streamline processes, optimize property management, and enhance profitability.

Chief Real Estate Officer (CRO)

Drive the adoption of AI technologies across real estate operations, focusing on innovation, growth, and maximizing property value.

FREQUENTLY ASKED QUESTIONS

Yes, you’ll gain practical, hands-on experience to immediately apply AI and BI skills in real-world business scenarios through case studies and a capstone project.

This course combines AI with telecommunications, teaching Python, machine learning, and network management, focusing on 5G, IoT, and predictive maintenance.

You’ll work on projects like network optimization, predictive maintenance, QoS, and resource management, culminating in a real telecom capstone.

The course combines theory, hands-on activities, and case studies to help you apply AI in telecom network management and customer experience.

You’ll gain expertise in AI and telecom technologies, with hands-on experience and a capstone preparing you for roles in telecom networks and 5G deployment.

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%

Format

50 multiple-choice/multiple-response questions

EXAM BLUEPRINT

Introduction to AI & Machine Learning in Real Estate	9%
AI in Property Valuation & Price Prediction	13%
AI in Marketing & Lead Generation	13%
AI for Fraud Detection & Risk Management	13%
AI in Smart Homes & Property Automation	13%
AI in Compliance & Ethics	13%
AI for Business Strategy & Decision-Making	13%
AI Strategy & Capstone Project	13%