Experience AI is an educational program that offers a wealth of resources to inspire and educate about Artificial Intelligence. This program supports teachers in the exciting and fast-moving area of AI. It also sparks curiosity and fosters learning and innovation among young learners on the possibilities of AI
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Experience AI is an educational program that offers cutting-edge resources on artificial intelligence and machine learning for teachers and students. Developed in collaboration by the Raspberry Pi Foundation and Google DeepMind, the program trains teachers and learners in the exciting and fast-moving area of AI.
Artificial intelligence and machine learning applications are already changing many aspects of our lives. From search engines, social media content recommenders, self-driving cars, and facial recognition software, to AI chatbots and image generation, these technologies are increasingly common in our everyday world.
Young people who understand how AI works will be better equipped to engage with the world around them, make informed decisions about using and creating AI applications, and choose what role AI will play in their futures. They will also gain better critical thinking skills and awareness of how they might use AI to come up with new, creative solutions to problems they care about.
The WTM Nsukka is organizing this 2-day workshop to help the community members experience AI and its possibilities. this workshop will train educators and young learners within our community on Artificial Intelligence and its real-world applications, Building a machine learning model, Decision Trees in ML, smart automation using IOT, and also exploring how to computers learn from Data. This program is fully Hands-on.
October 18 – 19, 2024
9:00 AM – 2:00 PM (UTC)
9:00 AM | Registration/check-In |
9:10 AM | Welcome Address/Overview of the Experience AI workshop |
9:30 AM | Understanding AI and Its Impact on Our World (Ogubuike Alexandra Ozioma) |
10:30 AM | Machine Learning Basics |
12:00 PM | BREAK/ AI GAME |
12:30 PM | Building Your First Machine Learning Model |
1:45 PM | Wrap-up and Q&A Session |
WTM Ambassador
Software/Robotics Engineer
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