This course is part of the Financial Technology (Fintech) Innovations Specialization

4.7
stars
307 ratings

Andrew Wu +1 more instructor

12,134 already enrolled

Offered By

Financial Technology (Fintech) Innovations SpecializationUniversity of Michigan

About this Course

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Explore the evolution of AI investing and online wealth management.
Investing and managing your wealth online has never been easier, but how does AI investing work and what are the challenges?

On this course, you’ll explore how technology has changed the way we invest money. You’ll consider the evolution of AI-driven online wealth management platforms, robo-advisors, and learn how they work and why they’re successful.

Moving from human-based data-driven investing strategies to neural networks, you’ll assess the ability of artificial intelligence to make investment decisions and discover the role of AI and machine learning in making trading decisions.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Course 4 of 4 in the

Financial Technology (Fintech) Innovations Specialization

Beginner Level

Approx. 10 hours to complete

English

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What you will learn

Recognize the strengths and weaknesses of human financial advisors and investors.
Explain the business model of robo/AI-advisors.
Identify the relationship between identifiable firm characteristics and average returns.
Build a diversified portfolio based on attitudes toward risk.

Skills you will gain

robo advising
investment technology
Artificial Intelligence (AI)
investing technology
diversified portfolio

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 4 of 4 in the

Financial Technology (Fintech) Innovations Specialization

Beginner Level

Approx. 10 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.8/5 (49 Ratings)

Andrew Wu

Michael R. and Mary Kay Hallman Fellow, Assistant Professor of Technology and Operations and Finance

Stephen M. Ross School of Business

70,909 Learners

5 Courses

Robert Dittmar

Professor of Finance

Stephen M. Ross School of Business

70,907 Learners

4 Courses

Offered by

University of Michigan

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Syllabus - What you will learn from this course

Week1

Week 1

1 hour to complete

Introduction

1 hour to complete

2 videos (Total 14 min), 3 readings

Week2

Week 2

4 hours to complete

Robo Advising

4 hours to complete

7 videos (Total 98 min), 2 readings, 2 quizzes

7 videos

Expected Returns, Standard Deviations, and Correlation10mBuilding an Efficient Portfolio25mDiversified Investments8mExchange Traded Funds14mRobo-Advisors8mHow do Pure Advisors & Robo-Advisors actually work?14mRoboAdvising: The Value Add of Robo Advisors15m

2 readings

Case Reading: Wealth Management - A Case for Innovation?10mCase Reading: Wealth Management and Robo-Advising10m

2 practice exercises

Case Discussion Participation5mEnd of Module Quiz30m

Week3

Week 3

3 hours to complete

Stock Selection & Asset Management

3 hours to complete

8 videos (Total 73 min), 3 readings, 2 quizzes

8 videos

Stock Selection: Fundamental Analysis: The Passive Benchmark7mStock Selection: Fundamental Analysis: Manager Performance8mStock Selection Screening10mStock Selection Screening: Discovering Signals and Data Issues8mStock Selection: Neural Networks14mStock Selection: Smart Beta: What is Smart Beta?5mStock Selection Smart Beta: Creating a Smart Beta Index7mStock Selection: Smart Beta Tilts8m

3 readings

Case Reading: Is Active Management Right for Us?10mCase Reading: Benchmarks vs. Signals10mCase Reading: Diving into Smart Betas10m

2 practice exercises

Case Discussion Participation5mEnd of Module Quiz30m

Week4

Week 4

3 hours to complete

Big Data

3 hours to complete

3 videos (Total 30 min), 4 readings, 2 quizzes

3 videos

Demystifying the business of AI, machine learning, big data…13mAI/ML in investment management: Current applications8mAI/ML in investment management: Key value drivers and pitfalls8m

4 readings

Case Reading: The AI Revolution Comes to BAM10mCase Reading: Robots in the Stock Market10mCourse Feedback10mKeep Learning with Michigan Online10m

2 practice exercises

Case Discussion Participation5mEnd of Module Quiz30m

Reviews

4.7

48 reviews

5 stars
76.54%
4 stars
17.58%
3 stars
4.23%
2 stars
0.65%
1 star
0.97%

TOP REVIEWS FROM INNOVATIONS IN INVESTMENT TECHNOLOGY: ARTIFICIAL INTELLIGENCE

by PJJul 1, 2020

Great course with exceptional instructors. Everything was crystal clear and basics were taught in-depth. A great pick for anyone looking to start their journey in fintech and finance in general.

by RGNov 11, 2021

Very informative, relevant for this day and age and well manageable given time constraints! I enjoyed this course very much!

by ARJul 23, 2020

Yeah it's been an amazing journey! I have learned the key concepts about innovations and technologies in AI investment

by GPSep 13, 2021

A good and challenging course that makes you brainstorm a lot.

This course could give you some extra logical thought of AI in Investment, first step to know more about AI application in finance

View all reviews

About the Financial Technology (Fintech) Innovations Specialization

This specialization is intended to familiarize learners with a broad range of financial technologies. While finance has always been at the forefront of technological innovation, the financial industry is changing rapidly in the face of new technology. In the past, at the forefront of innovation in finance were central governments and financial institutions. Today, information technology firms and professionals are leading innovation in the financial industry.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. 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.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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.

More questions? Visit the Learner Help Center.

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