AI+ Real Estate™

Price
Net: 397,00 €
VAT.: 75,43 €

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

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Digital technologies are changing working methods, decision-making processes, and business models in the real estate industry. Artificial intelligence is becoming a key tool for analysis, planning, and control. This continuing education course offers a clear, practical overview of how AI can be used sensibly, safely, and strategically in the real estate sector.

Key topics

Use of AI for market, property, and location analyses.
Automated valuation methods and price forecasts.
Data-based strategies for investment and portfolio management.
AI-supported optimization of operations, administration, and maintenance.
Applications of predictive analytics and machine learning.
Legal, ethical, and regulatory principles for AI use.

Prerequisite
Basic knowledge of real estate or working with digital data and systems.

Target group
Decision-makers, professionals, and specialists from the real estate industry, financing, valuation, management, and consulting with an interest in data-driven methods.

Artificial intelligence is becoming an integral part of professional real estate work. A sound understanding of these technologies supports sustainable strategies, improves decision-making quality, and strengthens your position in a dynamic market environment.

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course content

AI and machine learning in the real estate industry

Introduction to AI
Types of machine learning (ML) in the real estate industry
Challenges and limitations of AI
Use cases
Case study
Practical exercises

AI for real estate valuation and price forecasts

How AI estimates real estate values
Comparative market analysis (CMA) with AI
AI for forecasting future market trends
Use cases
Case study
Practical application

AI in marketing and lead generation

AI for real estate marketing and personalization
AI chatbots and virtual assistants
AI in social media and SEO
Use cases
Case study
Practical application

Fraud detection and risk management

AI for detecting real estate fraud
AI for risk assessment of loans and mortgages
AI for anti-money laundering (AML) in the real estate industry
Use cases
Case study
Practical application

Smart homes and real estate automation with AI

AI-powered smart homes & IoT
AI for energy efficiency and sustainability
AI-supported security & surveillance
Use cases
Case study
Practical application

AI in compliance and ethics

The role of AI in fair lending and bias detection
AI-assisted review of legal documents
Regulatory challenges and ethical concerns
Use cases
Case study
Practical application

AI for corporate strategy and decision-making

AI in real estate investment and location selection
AI-driven risk management and predictive maintenance
AI for optimizing real estate portfolios
Use cases
Case study
Practical application

AI strategy and capstone project

Real-world case study: "End-to-end AI implementation in the real estate industry"
Final project: AI strategy implementation

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What is the AI+ Real Estate™ course?

The AI+ Real Estate™ course is an online certification that demonstrates how artificial intelligence is used in practice in the real estate industry—from valuation to strategy.

What topics does the course cover?

The course covers AI implementation, market analysis, price forecasting, marketing, risk and fraud detection, smart homes, compliance, investment strategy, and a final project.

What tools are used in the course?

The course uses tools such as TensorFlow, Keras, Hadoop, Power BI, Python, Tableau, Matplotlib, and SQL.

How does Python help in the course?

Python is used to analyze data, create machine learning models, and implement AI processes for real estate analysis.

What is Power BI used for?

Power BI is used for the visual presentation of data results in order to display market trends, evaluations, and key figures as meaningful dashboards.

What are the benefits of certification for the profession?