Artificial intelligence (A.I.) is rapidly changing the world, and kids need to learn about it at a young age. A.I. is already being used in many different ways, from powering our smartphones to driving our cars. And as A.I. continues to develop, it will play an even more significant role in our lives. There are many different ways to teach kids about A.I. One great way is to introduce them to free tools that allow them to explore A.I. in a fun and interactive way. Here are 10 of the best free tools for kids to learn about AI
1. AI Family Challenge– The Machine Learning for Kids system is used in an organised manner as part of the A.I. Family Challenge, a free initiative that encourages families and communities to utilize A.I. together. Each session introduces several ideas and exercises that result in the development of a final product, an innovation that uses A to address an issue in the community.
2. Technovation– By employing cutting-edge technology like AI, Technovation is bringing together children and adults to tackle significant issues in their communities. To study, play, and create using artificial intelligence, this platform brings together mentors, families, and educational institutions. Children (ages 8–16) and adults learn how to apply A.I. technologies to solve real-world issues through practical projects.
3. I. Experiments with Google– A.I. Experiments is a showcase for easy-to-understand experiments that let anybody get started with machine learning using images, drawings, language, music, and more. No coding is needed for a quick and straightforward approach to developing machine learning models.
4. Cognimates – Children aged 7 to 10 may engage in creative programming activities on the Cognimates platform, where they can create games, programme robots, and develop their own A.I. models. By using embodied intelligent agents to mediate some of the activities, learners may better interact and scaffold their learning.
5. Apps for Good– A UK-based organisation called Apps for Good offers free creative technical education to prepare beginners for an ever-changing environment. It develops teaching materials for tech-related disciplines and makes them freely available to schools. Their 12-session Machine Learning course includes a variety of supplemental materials, including lesson plans, student workbooks, presentations, and schemes of work.
6. Create ML– Without prior machine learning knowledge, you can create, train, and deploy machine learning models using the most recent version of the user-friendly Create ML program. You may watch model creation workflows in real-time with Create ML.
7. Data Robot – DataRobot is a cutting-edge corporate A.I. platform that decentralizes data science and automates the entire lifecycle of creating, implementing, and sustaining A.I. and ML systems at scale.
8. Google A.I. Platform– The A.I. Platform enables machine learning developers, data scientists, and data engineers to swiftly and efficiently move their ML projects from conception to production and deployment.
9. Automated Machine Learning with Microsoft Azure– A.I. refers to a machine's capacity to mimic intelligent human conduct. A.I. enables robots to interpret speech, evaluate pictures, communicate naturally, and make predictions based on data.
10. RapidMiner Studio– It is a data science platform that allows users to build and deploy machine learning models. They offer a free community edition for students and individuals.
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