Application of AI, InsurTech, and Real Estate Technology from Coursera

What's inside

Syllabus

Module 1: InsurTech

In this module, you’ll identify what key emerging technologies are being leveraged by the insurance industry. You’ll gain a deeper understanding of how artificial intelligence and machine learning technologies are utilized in InsurTech. You’ll discuss the methodology behind InsurTech’s innovations in the industry, from product design to claims management. You’ll also analyze the different ways of segmenting InsurTech firms and explore examples of microinsurance and full-enabled Insurtech firms. By the end of this module, you’ll have a more clearly defined understanding of Insurtech and how emerging technologies are increasing the value of the insurance market.

Module 2: Real Estate Tech

In this module, you’ll examine the fundamentals of Real Estate Technology. You’ll closely examine the background, definition, and size of the real estate tech market. You’ll gain a deeper understanding of the disruption that is happening in the real estate market through Real Estate Tech by studying examples such as Zillow and WeWork. You’ll also explore the trends and examples in residential and commercial real estate tech such as Blend, Lending Home, and Cadre. By the end of this module, you will gain a better understanding of the landscape and key financial goals of Real Estate Tech.

Module 3: Artificial Intelligence

In this module, you’ll be introduced to the foundations of Artificial Intelligence and its use cases in the Financial Tech industry. You’ll begin by examining the background and market size of AI, and analyze the forecast of top use cases for AI. You’ll learn key use cases for AI in FinTech and discuss examples of AI in Robo-Advising such as Vanguard Personal Advisor Services and Machine Learning in InsurTech Companies such as IBM Watson. By the end of this module, you’ll have a richer understanding of AI, its uses and its impact in the fintech industry.

Module 4: Case Studies

This module was designed to provide you with an opportunity to explore successful FinTech organizations around the world and learn how they integrated the benefits of FinTech into their organization. Warren Pennington, Principal in Vanguard’s Investment Management Group, and Andy Rachleff, Co-Founder and Executive Chairman of Wealthfront, are here to provide you with a deeper insight into their organizations. They’ll discuss applications of FinTech and the future of FinTech. By the end of this module, you’ll gain a better understanding of the practical applications of FinTech in a company.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Focuses on FinTech and how it affects the future of finance

Covers a wide range of topics, including AI, machine learning, and real estate technology

Instructor Christopher Geczy is a Wharton School professor

Examines how AI and machine learning are being used in the insurance and real estate industries

Taught by experts in the FinTech industry

Provides case studies on successful FinTech organizations

Reviews summary

Well-received ai and real estate course

According to students, this well-received course, "Application of AI, InsurTech, and Real Estate Technology," explores relevant areas of finance, in particular insurance and real estate. Learners say the material is well-structured and easy to follow, offering helpful insights into the application of AI technology and its impact on these industries. Students also note positive qualities such as concise and informative slides, engaging guest speaker sessions, and an easy-to-comprehend presentation style. However, some students mention that the content could be more detailed and would benefit from updates to reflect the fast-changing nature of the industry.

Good overview of industry trends

"Great way to get an introduction to industry trends"

"It´s a good sumary of the industry, but with shalow deep."

Well-structured and informative

"It's well structured and presented in coherent way that is easy to follow."

"The slides were concise and informative."

"Very nicely done by the Instructor. Just the correct amount of rigor for a course like this."

Insightful and practical

"I learned a lot through this course."

"This course provides great concepts of AI and its of applications in relevant areas of finance"

"learnt about the latest AI development"

Could be more detailed

"Interesting from a background perspective but thought it was too easy."

"This course lacks depth and scope."

Needs to be updated

"The course needs to be updated. Stats are from 2012/2018"

"The data and examples are outdated given the fast growth and change in the landscape of FinTech."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Application of AI, InsurTech, and Real Estate Technology with these activities:

Join a study group with fellow classmates

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Engaging in collaborative learning through study groups fosters a supportive environment, enhances understanding, and improves retention of course material.

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Find a group of classmates with complementary skills and interests
Schedule regular study sessions

Attend an InsurTech or Real Estate Tech conference

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Engaging with industry professionals at specialized conferences provides unique networking opportunities and allows you to stay abreast of emerging trends.

Browse courses on InsurTech

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Identify relevant InsurTech or Real Estate Tech conferences
Register and attend the conference
Network with professionals and experts

FinTech Tutorial Series

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By following a series of guided tutorials on FinTech, you'll gain practical skills and knowledge in the field, including the use of AI and ML in financial services.

Browse courses on Financial Technology

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Enroll in a beginner-friendly FinTech tutorial series.
Complete the tutorials in sequence, following the instructions carefully.
Apply what you learn by completing the exercises and assignments.

Nine other activities

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Review linear regression with MIT OpenCourseWare

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Engaging in quantitative tutorials familiarizes you with key terminology, techniques, and applications within the broader AI/ML landscape.

Browse courses on Machine Learning

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Familiarize yourself with the concepts of linear regression
Practice fitting a linear regression model

AI and ML Algorithm Exercises

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By completing a series of exercises and drills on AI and ML algorithms, you'll strengthen your understanding of the underlying concepts and improve your problem-solving skills in the field.

Browse courses on Artificial Intelligence

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Review the fundamentals of AI and ML algorithms.
Solve a variety of practice problems and exercises.
Analyze the results and identify areas for improvement.

Read "The Intelligent Investor" by Benjamin Graham

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Gaining insights from classic literature on investing and financial planning will help shape your understanding of real estate and insurance as investment vehicles.

View The Intelligent Investor, 3rd Ed.: The... on Amazon

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Understand the principles of value investing
Apply Graham's strategies to evaluate real estate and insurance investments

Study Group for AI in InsurTech

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Participating in a study group focused on AI in InsurTech will allow you to engage with peers, exchange ideas, and deepen your understanding of the subject matter.

Browse courses on Artificial Intelligence

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Find a study group or form one with classmates.
Establish a regular meeting schedule.
Review course materials and discuss key concepts.
Work together on assignments and projects.

Complete a course on Python for Data Science

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Developing proficiency in Python and data science techniques will enhance your ability to analyze data and make informed decisions in the insurance and real estate domains.

Browse courses on Python

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Understand the basics of Python programming
Learn data manipulation and analysis techniques

Article on Real Estate Tech Trends

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By writing an article on the latest trends in real estate technology, you'll stay updated on the industry and demonstrate your understanding of the role of AI and ML in transforming the real estate market.

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Research current trends and emerging technologies in real estate tech.
Identify key players and innovators in the industry.
Write an article that discusses the impact of AI and ML on the real estate industry.

Develop a data visualization to explore trends in the InsurTech industry

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Creating visual representations of data empowers you to uncover actionable insights and gain a deeper understanding of complex concepts in the InsurTech domain.

Browse courses on Data Visualization

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Gather data on InsurTech industry trends
Select suitable data visualization techniques
Create and interpret the data visualization

InsurTech Case Study

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By creating an in-depth case study on a specific InsurTech company, you'll gain hands-on experience analyzing and evaluating the use of AI and ML in the insurance industry.

Browse courses on InsurTech

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Research and select an InsurTech company to focus on.
Gather data and information about the company, its products, and its use of AI and ML.
Analyze the data to identify key trends and insights.
Develop a case study report that presents your findings and recommendations.

Develop a financial model for a real estate investment

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Building financial models enables you to evaluate the financial viability of real estate investments, empowering you to make informed decisions and mitigate risks.

Browse courses on Financial Modeling

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Gather data on the real estate property and market
Build a financial model to forecast cash flows and returns
Analyze the results of the financial model

Career center

Learners who complete Application of AI, InsurTech, and Real Estate Technology will develop knowledge and skills that may be useful to these careers:

Technology Risk Manager

Technology Risk Managers are responsible for identifying and mitigating risks associated with the use of technology in an organization. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the latest advances in artificial intelligence, machine learning, and other emerging technologies, and how these technologies are being used in the insurance and real estate industries. You will also gain an understanding of the regulatory landscape surrounding these technologies.

See salaries and explore the career path for Technology Risk Manager

Insurance Underwriter

Insurance Underwriters assess risk and determine the appropriate level of insurance coverage for individuals and businesses. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of insurance, the factors that affect risk, and how to use data to make sound underwriting decisions.

See salaries and explore the career path for Insurance Underwriter

Real Estate Agent

Real Estate Agents help people buy, sell, and rent property. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of real estate, the factors that affect property values, and the legal and ethical issues involved in real estate transactions.

See salaries and explore the career path for Real Estate Agent

Mortgage Broker

Mortgage Brokers help people get loans to buy homes. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of mortgage loans, the factors that affect mortgage rates, and the legal and ethical issues involved in mortgage lending.

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Financial Analyst

Financial Analysts provide advice to individuals and businesses on financial matters. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of financial investments, the factors that affect investment performance, and how to use data to make sound investment decisions.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use mathematics to assess risk and uncertainty. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of actuarial models, the factors that affect actuarial risk, and how to use data to make sound actuarial decisions.

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Data Scientist

Data Scientists use data to solve business problems. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of data analysis techniques, the factors that affect data quality, and how to use data to make sound business decisions.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and maintain software applications. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of software engineering tools and techniques, the factors that affect software quality, and how to use data to make sound software engineering decisions.

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Computer Programmer

Computer Programmers write code to implement software applications. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of programming languages and tools, the factors that affect code quality, and how to use data to make sound programming decisions.

See salaries and explore the career path for Computer Programmer

Information Technology Manager

Information Technology Managers plan and direct the implementation and operation of computer systems. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of information technology systems, the factors that affect system performance, and how to use data to make sound information technology decisions.

See salaries and explore the career path for Information Technology Manager

Business Analyst

Business Analysts analyze business processes and make recommendations for improvements. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of business analysis techniques, the factors that affect business performance, and how to use data to make sound business decisions.

See salaries and explore the career path for Business Analyst

Investment Banker

Investment Bankers help companies raise money by selling stocks and bonds. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of investment banking transactions, the factors that affect investment banking fees, and how to use data to make sound investment banking decisions.

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Financial Planner

Financial Planners help people plan for their financial future. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of financial planning services, the factors that affect financial planning fees, and how to use data to make sound financial planning decisions.

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Economist

Economists study the production, distribution, and consumption of goods and services. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of economic models, the factors that affect economic growth, and how to use data to make sound economic decisions.

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Statistician

Statisticians collect, analyze, and interpret data. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of statistical methods, the factors that affect data quality, and how to use data to make sound statistical decisions.

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