Can I implement AI skills immediately at work?

Yes, learn real-world applications for marketing, risk management, and operational efficiency.

Which AI tools will I use?

Get practical experience with TensorFlow, Keras, Python, Power BI, Tableau, Hadoop, Matplotlib, and SQL.

How does AI improve property investment decisions?

AI predicts market trends and risks, enabling smarter, informed investment choices.

Who should take this course?

Real estate professionals, investors, property managers, analysts, and tech enthusiasts exploring AI in real estate.

How does certification validate my skills?

Passing the online exam earns a recognized credential and digital badge, showcasing your expertise.

Can I learn at my own pace?

Yes - this course is self-paced, with 8 hours of on-demand videos, interactive labs, e-books, and podcasts.

Will the course help with compliance and risk?

Yes, modules cover fraud detection, regulatory compliance, and ethical AI practices.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI in Real Estate

AI in Real Estate

Instructor: AI CERTs Team

Included with Coursera Plus

Learn more

10 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

10 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Optimize Property Decisions: Apply AI for valuation, price prediction, and market forecasting using TensorFlow and Python.
Automate Real Estate Workflows: Streamline operations, marketing, and lead generation with Keras, SQL, and Power BI.
Enhance Smart Property Management: Implement AI in smart homes, property automation, and energy optimization with Hadoop and Tableau.
Drive Data-Driven Strategy: Analyze real estate data, detect risks, and model investments with Matplotlib and Python for actionable insights.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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There are 10 modules in this course

AI in Real Estate course equips professionals with the knowledge and skills to harness AI for smarter property decisions and operational efficiency. This course explores AI technologies transforming the real estate landscape, from automated valuation models and predictive market analytics to smart home systems and targeted marketing strategies. You’ll learn how to leverage AI for investment insights, risk management, fraud detection, and optimizing property operations, gaining a competitive edge in a rapidly evolving market.

Through hands-on projects and interactive labs, you’ll apply AI techniques to real-world scenarios—automating pricing, forecasting trends, and improving tenant satisfaction. The program also covers ethical and regulatory considerations, ensuring your AI applications are both effective and responsible. By the end of the course, you’ll have a practical understanding of AI tools such as TensorFlow, Keras, Python, Power BI, Hadoop, SQL, Tableau, and Matplotlib, enabling you to implement AI-driven solutions in property valuation, marketing, and business strategy. Your learning journey concludes with the official certification exam, designed to validate your expertise. Passing the exam earns you an industry-recognized credential and digital badge, demonstrating your readiness to drive innovation and efficiency in AI-powered real estate roles.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

What's included

6 videos1 assignment3 plugins

6 videosTotal 23 minutes

Course Introduction3 minutes
1.1 Introduction to AI4 minutes
1.2 Types of Machine Learning (ML) in Real Estate3 minutes
1.3 Challenges and Limitations of AI4 minutes
1.4 Use Cases: AI in Property Search and Market Pricing Trends4 minutes
1.5 Case Study: Zillow Zestimate—How AI Predicts Home Prices3 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

3 pluginsTotal 45 minutes

Module 01: Introduction to AI and Machine Learning in Real Estate 15 minutes
Activity: Flip card15 minutes
Summative Quiz15 minutes

What's included

5 videos1 assignment3 plugins

5 videosTotal 20 minutes

2.1 How AI Estimates Property Values5 minutes
2.2 Comparative Market Analysis (CMA) with AI3 minutes
2.3 AI for Future Market Trend Forecasting3 minutes
2.4 Use Cases: AI-Driven Automated Valuation Models (AVMs) and Market Forecasting2 minutes
2.5 Case Study: CoreLogic’s AI Valuation Models3 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

3 pluginsTotal 45 minutes

Module 02: AI in Property Valuation and Price Prediction15 minutes
Activity: Tab15 minutes
Summative Quiz15 minutes

What's included

5 videos1 assignment3 plugins

5 videosTotal 22 minutes

3.1 AI for Real Estate Marketing and Personalisation4 minutes
3.2 AI Chatbots and Virtual Assistants4 minutes
3.3 AI in Social Media and SEO5 minutes
3.4 Use Cases: AI in Lead Scoring and Hyper-Personalized Advertising3 minutes
3.5 Case Study: Compass’ AI-Driven Real Estate Marketing3 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

3 pluginsTotal 45 minutes

Module 03: AI in Marketing and Lead Generation 15 minutes
Activity: Drag and drop15 minutes
Summative Quiz15 minutes

What's included

5 videos1 assignment3 plugins

5 videosTotal 18 minutes

4.1 AI for Detecting Real Estate Fraud4 minutes
4.2 AI for Loan and Mortgage Risk Assessment3 minutes
4.3 AI for Anti-Money Laundering (AML) in Real Estate3 minutes
4.4 Use Cases: AI Detecting Fraudulent Listings and Mortgage Risk Assessment3 minutes
4.5 Case Study: LendingTree’s AI Mortgage Approvals3 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

3 pluginsTotal 45 minutes

Module 04: AI for Fraud Detection and Risk Management 15 minutes
Activity: Case study analysis15 minutes
Summative Quiz15 minutes

What's included

5 videos1 assignment3 plugins

5 videosTotal 21 minutes

5.1 AI-Powered Smart Homes and IoT4 minutes
5.2 AI for Energy Efficiency and Sustainability4 minutes
5.3 AI-Enhanced Security and Surveillance5 minutes
5.4 Use Cases: Smart Home Automation and Energy Savings2 minutes
5.5 Case Study: Google Nest’s AI-Powered Smart Homes3 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

3 pluginsTotal 45 minutes

Module 05: AI in Smart Homes and Property Automation15 minutes
Activity: Scenario15 minutes
Summative Quiz15 minutes

What's included

5 videos1 assignment3 plugins

5 videosTotal 23 minutes

6.1 AI’s Role in Fair Lending and Bias Detection7 minutes
6.2 AI-Powered Legal Document Verification4 minutes
6.3 Regulatory Challenges and Ethical Concerns5 minutes
6.4 Use Cases: AI Preventing Bias in Mortgage Approvals3 minutes
6.5 Case Study: DocuSign’s AI-Powered Contract Management3 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

3 pluginsTotal 45 minutes

Module 06: AI in Compliance and Ethics15 minutes
Activity: Drag-and-drop15 minutes
Summative Quiz15 minutes

What's included

5 videos1 assignment3 plugins

5 videosTotal 14 minutes

7.1 AI in Real Estate Investment and Site Selection3 minutes
7.2 AI-Driven Risk Management and Predictive Maintenance3 minutes
7.3 AI in Real Estate Portfolio Optimization2 minutes
7.4 Use Cases: AI in Site Selection and Investment Strategy2 minutes
7.5 Case Study: AI-Powered Real Estate Firms like CBRE1 minute

1 assignmentTotal 30 minutes

Quiz 730 minutes

3 pluginsTotal 45 minutes

Module 07: AI for Business Strategy and Decision-Making 15 minutes
Activity: Tab15 minutes
Summative Quiz15 minutes

What's included

3 videos1 assignment1 plugin

What's included

1 reading

What's included

1 reading

Instructor

AI CERTs Team

AI CERTs

19 Courses1,331 learners

Offered by

AI CERTs

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Frequently asked questions

Apply AI to valuation, market forecasting, and property management for smarter, data-driven decisions.

No - labs and templates make AI accessible, even without programming skills.

Build AI-driven pricing models, investment forecasting tools, and workflow optimizations.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.