TRAINING COURSE
Innovative Approaches in
Real Estate Management:
Leveraging AI
STARTING TWICE A MONTH
DURATION 7 WEEKS
‎‎ ‎9 000 €
For those looking to take their real estate professionalism to the next level using advanced AI technologies. We offer a broad understanding of the fundamentals of real estate management, an introduction to AI and Machine Learning, and hands-on skills in analyzing data and creating price prediction models using Python and the TensorFlow and Scikit-learn libraries.
Analyzing data with Python and Pandas
Creating price prediction models with Scikit-learn
Analyzing real estate images with TensorFlow
Training Course Program
STARTING TWICE A MONTH
Lecture 1:
Fundamentals of Real Estate Management
  • Introduction to real estate management: concepts, goals, and tasks
  • The role and significance of effective real estate management for various types of properties
  • Basic principles of managing rental and commercial properties
Lecture 2:
Introduction to AI and Machine Learning
  • Definition of key terms: AI, Machine Learning (ML), Neural Networks (NNs), and others
  • Overview of various methods and techniques of ML and their application in real estate management
Lecture 3:
AI Applications in Risk Assessment and Trend Forecasting
  • Utilization of ML algorithms for analyzing market data and forecasting changes in price dynamics
  • The role of AI in identifying and managing financial and operational risks in real estate
Lecture 4:
Automation of Processes and Data Management
  • Implementation of AI-based property management systems: data processing automation, payment management, application analysis, etc.
  • The role of Big Data and its analysis in enhancing real estate management efficiency
Lecture 5:
AI in Decision Making and Business Process Optimization
  • Development and implementation of data-driven decision-making systems for real estate management
  • Optimization of business processes using ML algorithms and NNs
Lecture 6:
Ethical and Legal Aspects of Using AI in Real Estate Management
  • Analysis of ethical and legal issues related to the use of AI in real estate management
  • Issues of confidentiality, data protection, and responsibility when using AI in the real estate sector
Lecture 7:
Trends and Perspectives in the Development of AI in Real Estate Management
  • Overview of current trends and prospects for the development of AI in real estate management
  • Forecasting future changes and new opportunities brought about by the implementation of AI in the real estate sector
Lecture 8:
Practical Aspects of Implementing AI in Real Estate Management
  • Development of a strategy for implementing AI in real estate management: needs analysis, technology and tool selection, implementation planning
  • Practical case studies of successful implementation of AI technologies in various aspects of real estate management
Practical Session 1:
Real Estate Data Analysis using Python and Pandas Library
  • Basics of working with data in Python and the Pandas library
  • Loading and preprocessing real estate data
  • Conducting data analysis to identify key trends and patterns in the real estate market
Practical Session 2:
Development and Training of Real Estate Price Prediction Model using Scikit-learn Library
  • Data preparation for building a price prediction model
  • Selection of an appropriate ML algorithm for the task of real estate price prediction
  • Model training on training data and evaluation of its performance
Practical Session 3:
Application of Deep Learning for Image Analysis of Real Estate Objects using TensorFlow Library
  • Introduction to deep learning and NNs using TensorFlow
  • Preparation of real estate object images for analysis
  • Creation and training of a neural network for recognizing features of real estate in images
Practical Session 4:
Development of AI Integration Business Strategy for Real Estate Management Company: Needs Analysis, Tool Selection, and Implementation Planning
  • Analysis of current issues and needs of the real estate management company
  • Assessment of the potential of integrating AI technologies to address identified issues
What kind of result will you get
Participants in the course will learn how to analyze a variety of data, including real estate market information, trends, and pricing. They will also learn how to create predictive models to predict changes in real estate prices and identify potential investment opportunities. In addition, participants will learn how to apply image analysis techniques to evaluate and classify properties, allowing them to make more accurate and informed decisions when managing real estate. The skills acquired will enable them to effectively optimize business processes, improve the quality of their decisions and successfully compete in the real estate market.
Student feedback on the course
Great course! I got a lot of practical skills, which I immediately began to apply in my work.
Aigerim Tulegenova
Very informative and relevant course. Gained a deep understanding of how to apply artificial intelligence in real estate management. I recommend it!
Petra Georgieva
Through this course, I learned how to effectively analyze data and make informed decisions, which allowed my company to increase its competitiveness in the real estate market.
Dominika Marinova
Excellent course with great hands-on activities. Gained valuable skills in working with data analysis tools and creating predictive models.
Milena Dimitrova
Thank you for an interesting and informative course! I am now confident in applying artificial intelligence in my work, which has allowed me to become a more effective real estate professional
Marek Tothov
What you will get after the course
  1. Skill in analyzing data and identifying trends in the real estate market
  2. Skill in creating predictive models to predict changes in real estate prices
  3. Mastering methods of analyzing real estate images
  4. Skill in the effective use of AI tools and technologies
  5. Ability to make informed decisions based on data and analytics
Official school certificate
Recordings of all lectures
10% discount on any of our courses
Price without discount 10 000 €
9 000 €
Course fees
If you register early (over a month prior to the beginning of the course), you will receive a 10% discount on the entire program.
Register for the course and get 10% off!
Fill out the form and we'll send you a confirmation email.
"Cosmopolitacademy" LLC
264.110.1320023
TIN: 08256519
Komitas 19/1, Erevan, Armenia