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Innovations in Investment Technology: Artificial Intelligence

Offered by University of Michigan. Explore the evolution of AI investing and online wealth management.

Innovations in Investment Technology: Artificial Intelligence is a beginner-level online course from Coursera in Artificial Intelligence. It is structured in 4 modules with 4 stated learning outcomes, over 10h 25m. Learners rate it 4.7/5 from 427 ratings on Coursera.

Part of our Artificial Intelligence courses collection, where we compare it against 26 other courses.

★★★★★4.7(427 reviews) English

Course highlights

Provider Coursera
Duration 10h 25m
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.7★ (427 reviews)
Price Check price Free

What you’ll 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.

Level and time commitment

Coursera lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.
Time commitment: 10h 25m.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Financial TradingArtificial Intelligence and Machine Learning (AI/ML)Asset ManagementWealth ManagementMachine LearningArtificial IntelligenceFinTechInvestmentsInvestment ManagementArtificial Neural NetworksBig Data

What this course covers

4 modules

The 4-part outline Coursera publishes for this course, across 10h 25m.

Module 1 · Introduction
Module 2 · Robo Advising
Module 3 · Stock Selection & Asset Management
Module 4 · Big Data

What learners rate it

4.7
★★★★★
427 ratings

Rated 4.7/5 by 427 learners on Coursera (checked 26 Aug 2026).

This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →

How this page is put together

Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 26 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course Provider Rating Price Duration Why pick this one
Innovations in Investment Technology: Artificial Intelligence This Coursera 4.7★ Check price 10h 25m Most popular — 0 learners
YUVA AI for ALL Coursera 4.8★ Check price 8h 35m Highest rated (4.8★ from 433 reviews)
Artificial Intelligence (AI) Education for Teachers Coursera 4.7★ Check price 20h 1m Beginner-friendly · 20h 1m
Introduction to Artificial Intelligence (AI) Coursera 4.7★ Check price 13h 25m Beginner-friendly · 13h 25m
See all Artificial Intelligence courses →

Common questions

How much does Innovations in Investment Technology: Artificial Intelligence cost?

Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.

Does Innovations in Investment Technology: Artificial Intelligence come with a certificate?

Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

How long does Innovations in Investment Technology: Artificial Intelligence take?

Coursera lists it at 10h 25m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

Is Innovations in Investment Technology: Artificial Intelligence suitable for beginners?

Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.

What does Innovations in Investment Technology: Artificial Intelligence cover?

It is organised into 4 modules, starting with Introduction and going on to Robo Advising, Stock Selection & Asset Management, Big Data. The full outline is on this page.