Artificial Intelligence Literacy
Artificial Intelligence Literacy
This course introduces participants to the fundamentals of Artificial Intelligence, its applications, and responsible usage, equipping them with skills to apply AI tools effectively in education and p
- Category: Teacher Development
- Price: 480 €
- Location: Munich
About This Course
Artificial Intelligence Literacy is a six-day training program designed for teachers, students, and professionals interested in understanding and leveraging AI technologies responsibly. Participants will learn the key concepts of AI, including machine learning, natural language processing, and computer vision, while exploring practical tools for data analysis, content creation, and problem-solving. The course also addresses ethical, social, and privacy considerations in AI usage. Through hands-on activities, case studies, and project-based learning, participants will develop strategies to integrate AI literacy into educational or professional settings and create actionable plans for responsible AI application.
Learning Outcomes
- Define Artificial Intelligence (AI) and understand its key concepts and applications.
- Identify different types of AI technologies and tools used in education, business, and daily life.
- Analyze ethical, social, and privacy implications of AI usage.
- Apply basic AI tools for data analysis, content creation, and problem-solving.
- Develop strategies for responsible AI use in professional and educational contexts.
- Design practical projects or lesson plans integrating AI literacy principles.
Daily Program
Day 1
- Definition and history of AI.
- Key concepts: machine learning, natural language processing, computer vision.
- AI in daily life: examples and case studies.
- Activity: Discussion on how AI impacts participants’ work or learning environments.
Day 2
- Narrow AI vs. General AI.
- AI tools for education, business, and creative work (e.g., ChatGPT, DALL·E, AI-based data tools).
- Hands-on: Exploring AI tools relevant to participants’ field.
- Assignment: Test an AI tool and reflect on its potential applications.
Day 3
- Bias and fairness in AI algorithms.
- Privacy, security, and digital rights.
- AI and the future of work and learning.
- Case study: Ethical dilemmas in AI applications.
Day 4
- AI-assisted teaching and learning strategies.
- AI for productivity and data-driven decision making.
- Collaborative AI projects in classrooms or workplaces.
- Activity: Design a small AI-assisted lesson or project.
Day 5
- Generating text, images, and multimedia with AI.
- AI for simulations, modeling, and analysis.
- Workshop: Create a short AI-based project or multimedia content.
- Assignment: Prepare a draft project plan using AI tools.
Day 6
- Strategies to integrate AI literacy in teaching, learning, or workplace practice.
- Peer review of AI projects and lesson plans.
- Final presentations and group discussion.
- Reflection: How to maintain responsible and critical use of AI beyond the course.
- Certificate ceremony and cultural activities
Training Dates and Locations:
Check whether your application for the training has been approved by applying for one of the specified dates. Please note that the training must reach a certain number of participants to be approved. If the required number is not reached, we will contact you to offer alternative options.
Reminder:
- Participants who attend at least 80% of the course will receive a Certificate of Attendance on Friday or Saturday.
- Training sessions are scheduled for the morning/afternoon.
- It is important that you bring your laptop.
- Changes to the program during the week are subject to the trainer's planning.
- Requests from participants must be submitted to the training center at least 4 weeks in advance.
- Please consider times outside the training program for your cultural activities. If you carry out your cultural activity at a time that coincides with training days for compelling reasons, you should be aware that no make-up training will be provided.
- The training is adapted to Erasmus+ budgets.
- For more details, please visit our website.
Upcoming Dates
| 06.04.2026 | 11.04.2026 | Open |
| 01.06.2026 | 06.06.2026 | Open |
| 08.06.2026 | 13.06.2026 | Open |
| 15.06.2026 | 20.06.2026 | Open |
| 22.06.2026 | 27.06.2026 | Open |
| 29.06.2026 | 04.07.2026 | Open |
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