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Artificial Intelligence

AI applied to the real estate sector

Leverage artificial intelligence to optimize property valuation, customer experience, and real estate processes


This training course introduces real estate professionals to the fundamentals of artificial intelligence (AI) and its practical applications in their sector.

Objectives

This training course aims to enable participants to discover how AI can optimize prospecting, property valuation, customer relations, and data management.

Is it for you ?

Real estate professionals

Prerequisite

Proficiency with office software (Excel, web browsing).

Your benefits

  • Understand AI fundamentals and their specific applications in the real estate sector
  • Identify and prioritize AI opportunities within real estate business processes
  • Manipulate and analyze real estate data using accessible tools like Excel or Google Sheets
  • Use no-code AI tools to automate tasks such as listing generation and customer sentiment analysis
  • Design a prototype or action plan integrating ethical and regulatory considerations
  • Content

    Fundamentals of AI and use cases in real estate

    Chapter 1: Introduction to artificial intelligence

    • Definition, history, and main types of AI
    • Differences between AI, machine learning, and deep learning
    • Symbolic AI vs. statistical AI
    See more + / -

    Chapter 2: AI in the real estate sector

    • Overview of current uses: automatic valuation, chatbots, customer scoring, etc.
    • Case studies: MeilleursAgents, Zillow, Nexity, etc.

    Workshop 1: Identifying AI opportunities in your business

    • Mapping real estate processes
    • Group brainstorming: where can AI be used?

    Practical application and accessible tools

    Chapter 3: Handling real estate data

    • Types of data: listings, prices, location, history
    • Introduction to data analysis with Excel and Google Sheets
    • Basic visualization concepts (Example: Power BI)

    Chapter 4: Discovering no-code AI tools

    • Presentation of tools such as ChatGPT, Pictory, RunwayML, etc.
    • Demonstration: generating listing descriptions, customer sentiment analysis

    Chapter 5: Ethics, limitations, and regulatory framework

    • Algorithmic bias and transparency
    • Law 25 and personal data
    • Responsibility and trust in AI

    Workshop 2: Mini real estate AI project

    • Choosing a use case (e.g., estimation, recommendation, chatbot)
    • Developing a prototype or action plan
    • Group project presentations

    💡 Useful information

    Our training sessions are offered in Montreal or Quebec City, in person or in virtual format. Dates and locations are provided when you select your session below. If you have any questions regarding registration, schedules, the language of instruction, or cancellation policies, please consult our FAQ .

    Duration
    2 days
    Schedule
    9h to 16h
    Regular fee
    $1,035
    Preferential fee A preferential rate is offered to public institutions, to members of certain professional organizations as well as to companies that do a certain amount of business with Technologia. To know more, please read the "Registration and rates" section on our FAQ page. Please note that preferential rates are not available for online training courses. Discounts cannot be combined with other offers.
    $930
    Private or personalized training

    Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.

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    Request in-company training

    Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.

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