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Hintergrundbild des Studiengangs Innovate Ethically with Data & AI der Tomorrow University of Applied Sciences Tomorrow University

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Innovate Ethically with Data & AI

Tomorrow University

Innovate Ethically with Data & AI

Überblick

Logo der Tomorrow University of Applied Sciences Tomorrow University

Dieses Profil ist aktuell

Die Angaben wurden kürzlich geprüft

9 weeks

Dauer

Aigle

Standorte

15 ECTS

Punkte

1,950 EUR

Kosten

2024-06-06

Beginn des Studiengangs

Englisch

Sprache

Zertifikat/ Diplom

Abschluss

Weitere Infos

1

General Information

  • FORMAT: Online

  • ELIGIBILITY: Open to all

  • WEEKLY COMMITMENT: Approx 10h

  • SCHEDULE: 1 session / week

  • EVAULATION: Project-based

2

Leverage data & AI to create a better tomorrow

The program is specifically tailored for individuals keen on shaping the future through data & AI, including:

  • Tech entrepreneurs aiming to launch AI startups with a focus on ethical practices and sustainability.

  • Product managers in tech companies looking to incorporate AI solutions responsibly within their products.

  • Data scientists interested in understanding the ethical implications of AI and developing responsible AI strategies.

  • Sustainability officers seeking to integrate AI and GreenTech innovations to advance their company's sustainability agenda.

3

Your Curriculum

Each Certificate Program comprises three interrelated challenges, equipping you with unique competencies to conquer current and future hurdles.

Challenge 1

Data Products

Uncover the potential of Data Science techniques in creating valuable data-driven products. Explore the concept of Data Products, their diverse applications, and delve into the design and execution of data science projects. You will define and develop your own minimum viable Data Product, applying your newfound knowledge in real-world scenarios.

Challenge 2

Data Solutions

Recognize that working with data serves a greater purpose: solving real-world problems. You will explore advanced techniques in statistical and machine learning to enhance your data solutions, crafting a refined iteration of your minimum viable Data Product.

Challenge 3

Ethics & Economics of Data & AI

Immerse yourself in essential ethics concepts crucial for building AI systems that benefit humanity. Through a scenario featuring an emerging fintech, you will assess the implications and risks of AI implementation in the lending industry, aligning your analysis with Sustainable Development Goals (SDGs) and upcoming AI regulations.

4

Unlock Your Potential with the Guidance of Industry Insiders

Leaders with extensive knowledge in their fields will be working with you in small and intimate groups of max. 25 peers to help you grow.

Professor of Artificial Intelligence & Sustainable Technologies

Dr. Ana-Maria Olteteanu

Dr. Ana-Maria Olteteanu is an AI scientist and Professor of Artificial Intelligence & Sustainable Technologies at Tomorrow University. She works at the intersection of cognitive science (how natural minds work) and artificial intelligence (how we can build a mind). Her favorite research topics are creative problem-solving, creativity measurement, and high-level cognition.

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