AI+ Real Estate Practitioner™

Ártól 80 000 Ft + Áfa
Önálló online Azonnal kezdhető
Időtartam 8 óra tananyag, önálló tempóban
Nyelv angol
Terület AI Business

Kinek szól
Mit tartalmaz az ár
Tematika
A vizsgáról

Áttekintés

Miről szól a képzés

A kurzus, a tananyag és a vizsga angol nyelvű. Az alábbi leírás az AI CERTs® eredeti szövege.

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.

Előfeltételek

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.

Célcsoport

Kinek szól

Real Estate Professionals: Agents, brokers, and managers looking to enhance their decision-making with AI-powered tools and insights.

Investors: Those interested in using AI to predict market trends and make more informed property investment decisions.

Property Managers: Individuals seeking to streamline operations, reduce costs, and improve tenant satisfaction using AI technologies.

Tech Enthusiasts: People with an interest in exploring AI applications within the rapidly evolving real estate sector.

Data Analysts: Professionals aiming to leverage AI for advanced property data analysis and predictive modeling in real estate.

Az árban

Mit tartalmaz az ár

Önálló tempójú online kurzus, a teljes tananyaggal
A hivatalos AI CERTs® vizsga
Digitális badge a sikeres vizsga után

Tananyag

Tematika

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

Vizsga

A vizsgáról

50 Kérdés
90 perc Időkeret
70% Ponthatár

Online proctored exam

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