Artificial Intelligence for Innovation and Entrepreneurship

Students gain understanding of the state of the art in artificial intelligence and how it is and can be applied in organizations and startups. Students will develop a solid and jargon free understanding of the technology and concepts such as AI, machine learning and which opportunities and challenges it brings to organisations and society. Students gain the ability to ideate and assess their own AI use cases and learn what it takes to implement them bring them into production.

Application
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Target Groups: Students

Area of Focus: Scalable Tech

Next Date: October 1, 2022 - April 1, 2023

Duration: 1 Semerster

Language: English

Scope: The module is taught as a 2 SWS seminar. New concepts will be presented as lecture and then applied in group work in exercises which perpare students for the group presentation. To build bridges between course work and self- studying blended learning is applied.

Learning Goals: Students gain understanding of the state of the art in artificial intelligence and how it is and can be applied in organizations and startups. Students will develop a solid and jargon free understanding of the technology and concepts such as AI, machine learning and which opportunities and challenges it brings to organisations and society. Students gain the ability to ideate and assess their own AI use cases and learn what it takes to implement them bring them into production

ECTS: 3

Application Requirements: For Master’s students at TUM

About

Artificial intelligence (AI) holds tremendous promise to benefit nearly all aspects of our society, including the economy, healthcare, security, the law, transportation, even technology itself. For organizations as well as for entrepreneurs

there is no way around this technolgy, if they want to be and stay competitive. This module covers:

- Introduction to AI, algorithms, and machine learning

- The technology behind AI

- AI for innovation and entrepreneurship

- Ideating, assessing, and prioritizing AI use cases

- Introduction to MLOps and building AI along the machine learning lifecycle

- Ethics and human centric design

Application

Get in touch!

Tristan

Tristan Post

Senior AI Journey Manager

E-Mail

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  • Module Description