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Unlocking the Power of AI in Education


Welcome to the MOOC Unlocking the Power of AI in Education

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Unlocking the Power of AI is a new EU Code Week MOOC that aims to provide teachers with a basic understanding of Artificial Intelligence (AI) and its potentials and challenges in education. Through the four modules of the MOOC, we will examine AI resources, tools and technologies that can be safely implemented in your daily teaching practice to enhance teaching and learning. We will explore the use of educational data and how it interacts with teaching and learning. We will reflect on ethical implications of AI’s use in the classroom. At the end of the course, the participants will prepare their own AI-related learning activity, ready to be put into practice. This MOOC will be organized around the concept of blended learning with onsite study-groups working alongside the online course

Join us and unlock the power of AI together with peers from the EU Code Week community and beyond. Engage in meaningful discussions about the benefits, potentials and risks of the use of AI in the classroom and experiment with new AI tools and resources.

You can follow the course at your own pace. We will open one module at the beginning of each week, but there are only a few deadlines you need to pay attention to (those for the quizzes and/or the peer-review activity).

Join us in the Facebook group or share your thoughts on Twitter using the hashtag #UnlockingAI and #CodeWeekUnlockingAI.

Learning objectives

  • To gain an understanding of the basic concepts and capabilities of AI.
  • To implement effective AI-related activities in the classroom to support teaching and learning.
  • To understand how educational data is collected, protected and employed.
  • To recognize and raise awareness of threats and potentials of AI systems.
  • To critically reflect on the use of AI technologies in education.
  • To ensure inclusive and equitable use of AI for all.


The main target audience are educators as well as parents with an interest in the use of Artificial Intelligence (AI) in education and its potentials and challenges. No previous experience or knowledge of AI is needed to take this course.


  • Module 1: AI Implementation in Education: From Concept to Classroom opens on 13/03/2023
  • Module 2: Data-Driven Education: Best Practices and Challenges opens on 20/03/2023
  • Module 3: Impact of AI in Education: Ethical Implications opens on 27/03/2023
  • Module 4: What’s Next in AI: The AI Journey Ahead opens on 03/04/2023


In order to earn a course certificate, course participants need to submit their activity and review three activities of other participants.  The overall passing grade is 95%. The final deadline to complete all activities is Wednesday, 19 April, 23:59 CEST.

Note to teachers from Castilla y León: Si eres profesor de Castilla y León, y además del certificado de la European Schoolnet Academy, quieres recibir un certificado oficial de parte de la Consejería de Educación de la Junta de Castilla y León inscríbete en la página web del CFP Idiomas de Castilla y León

Note to teachers from Galicia: Si eres docente en Galicia, y además del certificado de European Schoolnet Academy, quieres recibir un certificado oficial de parte del Centro Autonónico de Formación e Innovación de Galicia (CAFI), inscríbete también en la actividad "G2201140  Unlocking the Power of AI " en Fprofe en el siguiente enlace ( Para más información, contactar con el CAFI en la siguiente dirección de correo electrónico (

Note to teachers from Portugal: You can get your successful participation in a European Schoolnet Academy course formally recognised as a valid continuous professional development, and thereby acquire the relevant number of training hours, by sending your certificate to the Conselho Científico e Pedagógico de Formação Contínua (CCPFC) at Rua do Forno, nº 30, 1º andar - apartado 2168, 4700 - 429 Braga, Portugal. For more information, please contact the CCPFC.

Note to teachers from Emilia-Romagna: Per i docenti della regione Emilia-Romagna iscritti alla piattaforma regionale è possibile ottenere, oltre all’attestato rilasciato da European Schoolnet Academy, anche l’attestato rilasciato dall’Ufficio Scolastico Regionale per l'Emilia-Romagna (Servizio Marconi) che attua un'azione di facilitazione ed accompagnamento a questa attività. Maggiori informazioni al link:

Note to teachers from Ireland: It may be possible to count the completion of this course as part fulfilment of any discretionary CPD hours, subject to your school management's approval. Therefore, please enquire with your school management if your participation in this course can be formally recognised. 

Course Staff

Arjana Blazic - course coordinator

Arjana Blazic is a teacher trainer, course designer and education technology consultant. She is an external expert at European Schoolnet. Her interests focus on technology enhanced teaching and learning and the impact of digital technologies on teacher professional development. You can get in touch with her on Twitter:

Eugenia Casariego Artola - course coordinator

Eugenia is working at European Schoolnet, contributing to the educational aspects of EU Code Week: supporting the development of training materials for schools, assisting in the website of resources, and helping in the development of the Learning Bits. You can follow her and get in touch here:

Behind the course

This course has been created and is coordinated by Arjana Blazic and Eugenia Casariego Artola, supported by the Code Week Team and the European Schoolnet Academy staff. The course is part of the EU Code Week initiative, supported by the European Commission.

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The creation and running of this course have been supported by the European Commission, but it is sole responsibility of the organizers. The European Commission (EC) is not responsible for any use that might be made of the information contained.

Creative Commons License

All content on this course unless specified otherwise is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

  1. Course Code

  2. Classes Start

  3. Classes End

  4. Estimated Effort

    4 hours (16h in total)