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Free Artificial Intelligence (AI) Tutorial – Artificial Intelligence Masterclass

Last updated on November 25, 2024 7:08 pm
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Description

Today, the interaction of digital technologies with daily routines isn’t merely a passing trend but a fundamental shift, continuously redefining the possibilities and challenges in the world of work. This course aims to demystify AI and provides insights and skills on it thanks to a heterogeneous group of experts.

They will explore AI’s effects on training, knowledge management, and workforce development. They’ll tackle key trends, and ethical considerations, and showcase innovative applications of AI that you can apply in your everyday life.

Whether you’re a student, educator, or professional, this Masterclass is your guide to staying relevant and succeeding in the evolving landscape of AI and education.

From the Director of Training at ITCILO, to a Gender Specialist and Youth Empowerment Advisor, throughout 9 video lessons, each expert’s unique role and knowledge contribute to unfolding the evolving landscape of personalized learning, addressing biases, navigating the ethical implications of AI in education, and providing a comprehensive understanding of how AI facets intertwine with collaborative education practices.

In this Masterclass, you will learn from:

Andreas Klemmer

Director of Training, ITCILO

Tom Wambeke

Manager, Learning Innovation, ITCILO

Gerd Leonhard

Futurist & Humanist, CEO The Futures Agency

Johannes Schunter

Knowledge Management Advisor and Integral Business Coach

Ugo Caruso

Digital Learning Specialist & Portfolio Manager, UNSSC

Carol Ferracini

Gender Specialist

Nicole Pallares Ferrer

Associate Programme Officer, ITCILO

Egle Vinauskaite

Director and learning strategist, Nodes

Aishatu Gwadabe

Peace Technologist & AI Ethicist

Nik Baerten

Founder & Future explorer, Pantopicon

Who this course is for:

  • This course is designed for professionals and academics in learning, training, or knowledge management who want to explore the potential of AI to drive productivity, learning innovation, and address ethical considerations like algorithmic bias and gender equity.

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