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Artificial Intelligence Masterclass
Rating: 4.1 out of 5(34 ratings)
1,648 students

Artificial Intelligence Masterclass

A course by the International Training Centre of the ILO
Created byTraining ITCILO
Last updated 11/2024
English

What you'll learn

  • What are personalized learning ecosystems and its application in education, gaining insights into how AI tailors learning experiences to individual needs
  • Explore the role of AI in fostering international collaboration in education
  • Develop an awareness of ethical considerations related to AI in education, including issues of bias, privacy, and transparency
  • Learn to synthesize diverse insights from experts in the AI field, in order to inform your decision-making processes in this context

Course content

1 section10 lectures1h 5m total length
  • Welcome to the AI Masterclass!2:28
  • Harnessing AI for Capacity Development, LT4D and Decent Work10:10

    Andreas Klemmer

    Director of Training,

    ITCILO

  • Key Trends and overall Impact of AI7:15

    Gerd Leonhard

    Futurist & Humanist, CEO The Futures Agency

  • The Intersection of AI and Knowledge Management6:18

    Johannes Schunter

    Knowledge Management Advisor and Integral Business Coach

  • Tailoring Education: The AI Revolution in Personalized Learning Paths7:13

    Ugo Caruso

    Digital Learning Specialist & Portfolio Manager, UNSSC

  • Navigating Gender Dynamics in AI-Enhanced Technologies6:03

    Carol Ferracini

    Gender Specialist

  • Exploring Collaborative Learning in the age of AI7:14

    Nicole Pallares Ferrer

    Associate Programme Officer, ITCILO

  • Moving beyond content production in the AI age6:01

    Egle Vinauskaite

    Director and learning strategist, Nodes

  • Ethical Considerations in AI-powered Education4:55

    Aishatu Gwadabe

    Peace Technologist & AI Ethicist

  • Innovation & Progress: AI’s role in crafting better questions7:29

    Nik Baerten

    Founder & Future explorer, Pantopicon

Requirements

  • No previous experience needed. You will learn everything you need to know about in the Masterclass.

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.