Artificial Intelligence in Business - Creating Value with Machine Learning, Certificate | Harvard University | Cambridge, United States
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Certificate On Campus

Artificial Intelligence in Business - Creating Value with Machine Learning

2 days
Duration
2990 USD/full
2990 USD/full
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Artificial Intelligence in Business - Creating Value with Machine Learning course offered by Harvard University will help you Leverage new technologies to build value for your organization.

Overview

What you will study

The Artificial Intelligence in Business - Creating Value with Machine Learning course offered by Harvard University is designed to teach the management and application of artificial intelligence in the global business world. This offering will cover frontier technologies’ implications, applications, and opportunities in both public and private sectors. Participants will also learn to determine when to pursue new technologies and how to implement them for organizational purposes.

Program Benefits:

  • Learn about trends emerging from the rise of frontier tech
  • Gain strategic perspectives in AI technologies and their dynamics
  • Develop the ability to assess the uncertainty, ambiguity, and challenges of artificial intelligence
  • Learn how to visualize and frame business implications and opportunities stemming from AI
  • Seek an actionable, defensible continued exploration agenda for experimentation

Programme Structure

The program focuses on:

  • Converging technologies and the rise of the fourth industrial revolution
  • Artificial intelligence and artificial general purpose intelligence
  • Emerging technologies
  • Big data vs. scattered data
  • Deterministic technologies vs. probabilistic technologies
  • Machine learning (supervised/unsupervised)
  • Deep learning
  • Natural language processing
  • The magna carta for the global AI economy

Key information

Duration

  • Full-time
    • 2 days

Start dates & application deadlines

Language

English

Delivered

On Campus

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Harvard University and/or in United States, please visit Student Insurance Portal.

Other requirements

General requirements

  • If you work in close contact with technologies and want to know how AI and machine learning will transform the business environment in the coming years, this program is suitable for you.
  • The course material is applicable and useful across many fields and positions, including managers, executives, engineers, developers, researchers, analysts, marketers and bankers.

Tuition Fee

To always see correct tuition fees
  • International

    2990 USD/full
    Tuition Fee
    Based on the tuition of 2990 USD for the full programme during 2 days.
  • National

    2990 USD/full
    Tuition Fee
    Based on the tuition of 2990 USD for the full programme during 2 days.

Living costs for Cambridge

1814 - 3756 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Artificial Intelligence in Business - Creating Value with Machine Learning
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