AI+ Real Estate™ - eLearning (exam included)
275,00 EUR
- 15 hours
AI+ Real Estate™ offers a comprehensive certification combining foundational theory, advanced applications, and hands-on practice in AI as applied to the real estate industry. Participants will gain the tools, frameworks, and project experience needed to deploy AI solutions across valuation, marketing, operations, compliance, and strategic decision making.
Key Features
Language
Course and material in English
Level
Beginner level
Access
1 year access to the platform 24/7
6 hours of video lessons & multimedia
15 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Tools You’ll Master
Power BI, Python, Tableau, Matplotlib, SQL
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
AI in Real Estate: Shaping the Future of Property Intelligence
Gain a solid understanding of the key AI technologies transforming real estate—covering automated valuation models, predictive analytics, and intelligent home systems.
Learning Outcomes
At the end of this course, you will be able to:
Concepts
Understand key AI and machine learning concepts, limitations, and real estate use cases
Application
Apply AI to property valuation, pricing models, and market trend forecasting
AI Marketing
Use AI in marketing, lead generation, and client personalization (e.g. chatbots, predictive ads)
Risk
Detect fraud, assess credit & mortgage risk, and handle compliance / AML issues with AI
Smart management
Design AI-enabled smart home systems, energy management, and automation strategies
Legal
Address legal, bias, and ethical dimensions of AI in real estate
Strategy
Develop AI business strategies: site selection, portfolio optimization, predictive maintenance
Capstone
Execute a capstone project to deliver an AI solution for a real estate challenge
Course timeline
Fundamentals of AI and Machine Learning in Real Estate
Lesson 1
- Overview of AI and its applications in real estate
- Types of machine learning models used in property analytics
- Key challenges and limitations of AI adoption
- Practical use cases and case studies
- Interactive hands-on exercises
AI for Property Valuation and Price Forecasting
Lesson 2
- How AI predicts and estimates property values
- Applying AI for Comparative Market Analysis (CMA)
- Leveraging AI for future market trend forecasting
- Real-world examples, case studies, and hands-on practice
AI in Real Estate Marketing and Lead Generation
Lesson 3
- Using AI for marketing automation and client personalization
- Implementing AI chatbots and virtual assistants
- Enhancing SEO and social media strategies with AI tools
- Use cases, case studies, and interactive labs
AI for Fraud Detection and Risk Management
Lesson 4
- Detecting real estate fraud with AI algorithms
- AI-powered loan and mortgage risk assessment
- Applying AI for Anti-Money Laundering (AML) compliance
- Industry use cases, case studies, and hands-on activities
AI in Smart Homes and Property Automation
Lesson 5
- Integrating AI with IoT for smart home innovations
- AI-driven energy optimization and sustainability practices
- Enhancing security and surveillance with AI solutions
- Use cases, case studies, and practical exercises
AI in Compliance, Regulation, and Ethics
Lesson 6
- Leveraging AI for fair lending and bias detection
- AI applications in legal document verification
- Navigating ethical and regulatory challenges in AI adoption
- Use cases, case studies, and hands-on sessions
AI for Strategic Decision-Making and Business Growth
Lesson 7
- Applying AI for investment analysis and site selection
- Predictive maintenance and AI-based risk management
- Optimizing property portfolios with data-driven insights
- Use cases, case studies, and hands-on learning
AI Strategy & Capstone Project
Lesson 8
- Real-world case study: End-to-end AI implementation in real estate
- Capstone project: Designing and executing an AI strategy for a property business
Industry Outlook
- The global AI in real estate market is valued at USD 2.9 billion (2024) and expected to reach USD 41.5 billion by 2033, growing at a CAGR of 30.5% (Art Smart).
- AI adoption is revolutionizing property management, sales, and marketing—driving efficiency and improving customer experiences.
- Predictive analytics, virtual property tours, and automated valuation models are key technologies shaping the industry’s transformation.
- Real estate firms leveraging AI gain a competitive advantage through personalized services and data-driven insights.
- The increasing demand for smart buildings and sustainable development is accelerating the implementation of AI solutions in real estate.
Who Should Enroll in this Program?
This program is ideal for professionals in or interested in real estate who want to leverage AI capabilities, including:
Real estate agents, brokers, and property managers seeking data-driven decision support
Real estate investors and analysts wanting AI tools for market forecasting
Operations and facilities managers looking to automate and optimize property systems
Tech or data professionals aiming to specialize in property / PropTech
More Details
Pre-requisites
- Basic knowledge of real estate concepts (valuation, marketing, property management)
- Familiarity with digital tools (though coding experience is not mandatory)
- Openness to adopt AI methods in real estate workflows
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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