As artificial intelligence continues to transform industries, the real estate sector is witnessing rapid innovation powered by smart technologies. This course is designed to equip real estate professionals with the skills and knowledge needed to effectively apply AI tools across property valuation, market forecasting, investment analysis, and customer engagement. From predictive analytics to smart leasing and virtual property tours, AI is revolutionising how property is managed, marketed, and sold.

Participants will explore real-world applications of AI across the real estate lifecycle, learning how to streamline operations, personalise client experiences, and make more data-driven decisions. Through case studies, demonstrations, and interactive sessions, attendees will gain a practical understanding of how to integrate AI into their real estate practices to stay ahead in a digitally driven marketplace.

By the end of this course, participants will be able to:

Understand the fundamentals of AI and its role in transforming the real estate sector.
Use predictive analytics for market trend analysis and property valuation.
Leverage AI tools to automate property management and leasing operations.
Integrate AI-driven solutions in digital marketing and customer engagement.
Apply smart contract and blockchain technologies for secure transactions.
Evaluate the ethical and legal implications of AI in real estate.
Explore the future of AI in smart cities and intelligent infrastructure.

This course is ideal for:

Real estate brokers and agents.
Property managers and developers.
Real estate investors and analysts.
Technology professionals in PropTech.
Digital marketing specialists in real estate.
Business leaders in real estate and urban planning.

The course uses a practical, learner-focused approach combining instructor-led presentations, industry case studies, group discussions, AI tool demonstrations, and hands-on workshops. Participants will work on exercises using real-world datasets and AI platforms tailored to real estate applications.

Day 5 of each course is reserved for a Q&A session, which may occur off-site. For 10-day courses, this also applies to day 10

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Course Content

Section 1: Introduction to AI in Real Estate

Overview of AI, machine learning, and their relevance to real estate.
Key shifts in traditional real estate practices due to AI adoption.
Role of data in powering intelligent real estate decision-making.
Case studies on AI disruption in property markets.

Section 2: Predictive Analytics and Investment Risk Management

Using AI to forecast property values and rental trends.
AI models for demand-supply mapping and investment insights.
Tools for assessing portfolio risk and opportunity scoring.
Practical session: AI-powered property evaluation software.

Section 3: Automation and Smart Transactions

AI-powered tenant profiling and contract automation.
Smart contracts and blockchain for real estate deals.
Digital assistants and chatbots in customer communication.
Case analysis: AI in facility management and lease lifecycle.

Section 4: AI-Driven Marketing and Personalised Engagement

Targeting potential buyers using AI segmentation tools.
Virtual tours and AI-enhanced listing presentations.
Using NLP and computer vision in marketing content.
Workshop: Building an AI-enabled marketing campaign.

Section 5: Smart Cities, IoT, and Ethical AI in Real Estate

Integrating AI with IoT for intelligent property management.
AI’s role in sustainable urban development and smart buildings.
Ethics, bias, and compliance in real estate AI systems.
Panel discussion: Future trends and innovation in PropTech.

Certificate Details

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