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Courses start on:

25 August 2024

Santa Cruz de Tenerife, Spain


22 September 2024

Larissa, Greece

27 October 2024

Larissa, Greece

24 November 2024

Larissa, Greece

5 January 2025

Santa Cruz de Tenerife, Spain

16 February 2025

Larissa, Greece

23 March 2025

Larissa, Greece

4 May 2025

Larissa, Greece

8 June 2025

Krakow, Poland

27 July 2025

Fira, Greece (Santorini)

10 August 2025

Santa Cruz de Tenerife, Spain

7 September 2025

Larissa, Greece

12 October 2025

Larissa, Greece

16 November 2025

Larissa, Greece

Additional dates and tailor made courses are possible on request





The course is intended for educators from various disciplines who are interested in understanding the potential of AI in education. No prior knowledge of AI is required. It is especially beneficial for those who are keen on incorporating innovative technologies into their teaching practices to enhance learning outcomes and prepare their students for a rapidly evolving, tech-centric future.This course aims to provide educators across disciplines with an understanding of the fundamental concepts of Artificial Intelligence (AI) and its potential applications in an educational setting. Participants will explore a range of AI technologies including Machine Learning, Natural Language Processing, and robotics, and learn how these can facilitate personalized learning, automate assessments, and provide immediate feedback. The course will also delve into the ethical considerations surrounding AI in education and the future trends in the field. Participants are expected to have at least B1 level of English proficiency.



The "Introduction to AI in Education" course uses a blend of instructional methods to facilitate comprehensive understanding and active learning. We begin with engaging lectures that introduce the foundational concepts of AI and its role in education. To ensure these concepts are contextualized, real-world examples and case studies will be extensively used. Hands-on activities are incorporated to offer practical exposure to various AI tools. This experiential learning helps participants understand how AI can be implemented in actual classroom settings. Group discussions and Q&A sessions will foster collaborative learning, enabling participants to share their perspectives and learn from each other's insights. We will also host demonstration sessions to present the functioning of AI in technologies like Natural Language Processing and robotics. Finally, the course will focus on self-directed learning, encouraging participants to explore and learn about AI in education beyond the course, preparing them for an AI-integrated classroom. This multi-modal instructional approach ensures an engaging, effective, and practical learning experience.



By the end of the course, participants should be able to:

  • Understanding of AI Fundamentals: Participants will gain a solid understanding of basic AI concepts, its history, and its various types. They will be able to identify AI applications in everyday life and understand how AI is transforming the educational landscape.

  • Knowledge of AI Technologies: Participants will have an introduction to various AI technologies, such as Machine Learning, Natural Language Processing, and Robotics. They will be familiar with how these technologies can be applied in an educational context.

  • Appreciation of AI's Role in Personalized Learning: Participants will understand how AI can facilitate personalized learning. They will comprehend the importance of data in AI and the privacy and ethical considerations surrounding its use in education.

  • Insight into AI in Assessment and Feedback: Participants will grasp the role of AI in automating and enhancing assessments and providing immediate, personalized feedback. They will be familiar with several AI tools used in these processes.

  • Understanding of AI's Future in Education: Participants will be aware of the emerging trends in AI in education and the ethical considerations that come with them. They will be able to discuss and prepare for an AI-integrated classroom.

  • Capability to Apply AI in Classroom: Participants will be capable of identifying opportunities to apply AI in their classrooms to improve teaching and learning experiences. They will feel more confident in exploring and adopting AI tools in their educational practice.

  • Continued Professional Development: Participants will be equipped with knowledge and resources to continue their learning journey in AI in education beyond the seminar. They will be prepared to adapt to the changing educational environment driven by advancements in AI.

  • Developing communication, collaboration, presentation, problem-solving, negotiation, critical and creative thinking skills.

  • Enhancing professional skills through mastering tools for virtual communication and collaboration, design, and publishing.

  • Improving English fluency (the official language of the course).

  • Promoting intercultural awareness.

  • Strengthening the European collaboration among people using ICT in education in different contexts.

  • Providing insights into different education systems.



After registration participants will receive pre-course questionnaire which will be used by the trainer to learn about participants’ teaching backgrounds and to assess their exact needs. Before the beginning of the course a basic reading list will be suggested to participants to prepare for the training. Participants will also be asked to prepare a presentation about themselves, their professional context and their culture which will be presented during the course. Participants will receive information about the country they are going to visit in order to prepare them for their cultural experience.

Follow up


After the course participants will be asked to share what they have learned with the rest of the staff in their schools. Further books and articles to deepen the topic and contacts with some other practitioners all over Europe and in the world will be suggested by the trainer. The methods shared and explored and the bibliography given will allow the participants to complete and improve their educational path.




Each participant will get a course attendance certificate and the Europass Mobility Document.



We also provide all the support with paperwork you might need for your Erasmus+ project documentation such as mobility agreement and regsitration letter.

Draft Programme

7 day programme (35 hours) 560 €

   Day 1 - Introduction to AI and its Role in Education

  • Session 1: Course Introduction and Welcome

    • Introduction of participants,

    • warm ups and ice breakers,

    • outline of the programme.

  • Session 2: Understanding AI

    • Definition and history of AI

    • Various types of AI: Narrow AI, General AI, Superintelligent AI

  • Session 3: AI applications in everyday life

    • Examples of AI in daily life

    • Discussing AI applications that the teachers might be familiar with

  • Session 4: Impact of AI on Education

    • How AI is transforming the educational landscape

    • Overview of ways AI can be applied in education

    • Case studies of schools and educational institutions using AI

   Day 2 - Introduction to AI and AI technologies relevant to Education

  • Session 1: Understanding Machine Learning

    • Introduction to Machine Learning (ML)

    • Supervised, Unsupervised, and Reinforcement Learning

  • Session 2: Introduction to Natural Language Processing (NLP)

    • Importance of NLP in educational AI applications

    • Examples and demonstrations

  • Session 3: Introduction to Robotics and AI in physical education

    • The role of robots in learning

    • Demonstration of educational robots

  • Session 4: Interactive Q&A and Hands-on Activities

    • Teachers try out interactive AI tools and apps

    • Discussion about their experience

   Day 3 - Personalized Learning and AI

  • Session 1: Introduction to Personalized Learning

    • The role and importance of Personalized Learning

    • How AI can facilitate Personalized Learning

  • Session 2: Data in Personalized Learning

    • The importance of data in AI and learning

    • Privacy and ethical considerations

  • Session 3: Hands-on Activities and Q&A

    • Experiment with simple AI tools for Personalized Learning

    • Discuss potential classroom use cases

   Day 4 - Developing a Personalized Learning Plan

  • Session 1: Workshop for developing a personalized learning plan (a workshop to facilitate teachers in creating a practical, actionable plan for integrating personalized learning and AI tools into their classrooms).

  Day 5 - AI in Assessment and Feedback

  • Session 1: The Role of AI in Assessment

    • How AI can help with assessment tasks

    • The benefits and potential pitfalls of AI in assessments

  • Session 2: AI in Providing Feedback

    • How AI can be used to provide personalized, immediate feedback

    • Examples of AI tools that provide feedback

  • Session 3: Hands-on Activities and Q&A

    • Experiment with AI tools for assessment and feedback

    • Discuss potential applications in the classroom

   Day 6 - The Future of AI in Education and Ethical Considerations

  • Session 1: Looking Ahead: AI Trends in Education

    • Introduction to emerging AI trends and their potential impact on education

  • Session 2: Ethical Considerations of Using AI in Education

    • Discussion on privacy, transparency, potential biases, and ethical use of AI in education

  • Session 3: Preparing for an AI-integrated Classroom

    • Practical advice on preparing for and adapting to an AI-integrated classroom

    • How to continue learning about AI in education

   Day 7 – Round up and closing session

  • Session 1: Online tools for collaboration in ICT projects, eTwinning, European School Education Platform

  • Session 2: Presentation of outcomes, discussion, evaluation and closing session

    • Presentation of Group Projects

    • Open floor for remaining questions and discussions

    • Concluding remarks on the potential of AI in education

Quick links

"Have courage to be happy."

Augusto Boal

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