Children & School Education

AI and Machine Learning for Kids

Engaging Young Minds in AI and Machine Learning

Workload: 224 hours Topics: STEM Education for Children
Initial Registration โ€” 80 EUR This initial payment is credited toward tuition. Program-specific discounts may apply.
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Program overview

AI and Machine Learning for Kids offers an innovative approach to introducing young learners to the fascinating world of artificial intelligence and machine learning. This course is structured to provide hands-on, project-based learning experiences that encourage creativity and critical thinking. Participants will engage in interactive activities that not only teach foundational concepts but also empower them to apply their knowledge in real-world scenarios. By the end of the course, learners will have the opportunity to share their projects through Cademix Magazine, fostering a sense of achievement and community.
The curriculum is designed to cover a wide range of topics that build on each other, ensuring a comprehensive understanding of AI and machine learning tailored for children. Each session will focus on practical applications, allowing participants to explore various tools and techniques. The final project will challenge learners to create their own AI model, promoting collaboration and innovation. This course not only equips children with technical skills but also enhances their problem-solving abilities, preparing them for future academic and career pursuits.
Introduction to Artificial Intelligence: Concepts and Applications
Understanding Machine Learning: Basics and Types
Data Collection and Analysis: Gathering Information for AI
Programming Fundamentals: Introduction to Scratch and Python
Building Simple AI Models: Hands-on Projects
Robotics and AI: Integrating Hardware with Software
Game Development with AI: Creating Interactive Experiences
Visual Recognition: Teaching Machines to See
Natural Language Processing: Understanding and Generating Text
Final Project: Develop and Present an AI Solution for a Real-World Problem

Learning goal

Equip children with foundational knowledge in AI and machine learning, fostering creativity and problem-solving skills

Target group

Children aged 8-14, educators, and parents interested in STEM education

Prerequisites

None

Format and certification

Teaching method: Project-based, interactive

Certificate: Certificate of Attendance, Certificate of Expert

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Cademix Institute of Technology e.U.Continuing Education ยท Professional Development ยท Austria