Kids should be taught about artificial intelligence (A.I.) from an early age because it is quickly transforming the world. Artificial intelligence is already being utilized in a wide range of applications, from car navigation to smartphone power. Furthermore, artificial intelligence will become much more important in our daily lives as it develops. Kids can be taught about artificial intelligence in a variety of methods. Introducing students to free resources that let them investigate AI in an engaging and participatory manner is a fantastic starting point. Top ten free resources for children to learn about artificial intelligence
- AI Family Challenge: This free program encourages families and communities to apply artificial intelligence (AI) together. It makes use of the Machine Learning for Kids system in an organized way. Every session begins with a series of activities and concepts that culminate in the creation of a final product—an innovation that employs A to solve a problem in the community.
- Technovation: Using cutting-edge technology such as artificial intelligence, Technovation unites adults and kids to address important community concerns. This network connects families, educational institutions, and mentors to study, play, and create with artificial intelligence. Via hands-on projects, adults and children (ages 8 to 16) learn how to use artificial intelligence (AI) technologies to solve problems in the real world.
- I. Google A.I. Experiments — This showcase of simple experiments enables anyone to begin experimenting with machine learning by utilizing a variety of media, including drawings, music, language, photos, and more. Machine learning models can be quickly and easily developed without any coding knowledge.
- Cognimates: Using the Cognimates platform, kids between the ages of 7 and 10 may program robots, make games, and design their own artificial intelligence models. Learners may interact and scaffold their learning more effectively if some of the activities are mediated by embodied intelligent agents.
- Apps for Good: A UK-based organization, it provides free creative technical education to get newcomers ready for a constantly evolving market. The company creates educational resources for subjects related to technology and provides schools with free access to them. A range of supplementary materials, such as lesson plans, student workbooks, presentations, and work schemes, are included in their 12-session Machine Learning course.
- Create ML: The latest edition of the user-friendly Create ML tool allows you to design, train, and deploy machine learning models even if you have no prior experience with machine learning. Create ML allows you to view model creation workflows in real time.
- Data Robot: Cutting-edge corporate artificial intelligence (A.I.) platform DataRobot automates the whole process of developing, deploying, and maintaining large-scale A.I. and ML systems. It decentralizes data science.
- Google A.I. Platform: With the A.I. Platform, data scientists, engineers, and machine learning developers can quickly and effectively take their machine learning projects from the drawing board to production and implementation.
- Automated Machine Learning with Microsoft Azure: Artificial intelligence (A.I.) is the ability of a machine to imitate intelligent human behavior. Robots can now read speech, analyze images, interact intuitively, and generate data-driven predictions thanks to artificial intelligence (A.I.).
- RapidMiner Studio: This data science tool lets you create and implement machine learning models. They provide both people and students with a free community edition.
