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From dancing robots and protein folding to ChatGPT, artificial intelligence is becoming increasingly powerful and seemingly closer (sometimes even exceeding) intelligence demonstrated by humans. But how do machines gain intelligence? How can AI be applied to build real world applications? This AI Creators class teaches teens how to create simple and practical AI apps using a variety of tools, such as the Python coding language, open source packages, commercial AI from Google, and API by Open AI (creator of ChatGPT). By the end of this advanced AI class for teens (grades 6-12), students will achieve a firm foundation in key technical concepts used in coding AI, build a variety of AI applications, and create AI models trained a variety of data, including medical imaging datasets (pneumonia, Covid-19, and the like). Students will also receive an excellent overview of the frontier of AI technology and develop strong problem-solving and critical-thinking skills.
This course has been updated recently to include generative AI art and ChatGPT.
In the first unit, students will dive into computer vision, creating AI models representative of a variety of imaging datasets using Python code. By the end of this unit, students will have improved their conceptual understanding of AI and coding concepts. To achieve this, students will be exposed to, and successfully leverage, Google Vision API, machine learning basics, computer vision foundations, and neural networks.
Unit 2 of this course focuses on Convolutional Neural Networks (CNN), the core technology behind almost all advanced computer vision systems. We will learn a couple of different approaches for running CNN systems using different data sets. Throughout the class, students will be doing hands-on projects to run these systems while learning the underlying technologies. By the end of this unit, students will have deepened their understanding and utilization of AI for computer vision and coding concepts. We will also introduce students to Stable Diffusion, the frontier of Generative AI art technology. Students will run their own stable diffusion system to create arts with more controls.
Unit 3 covers two key areas - ChatGPT and Computer Vision for medical imaging. We will first introduce students to ChatGPT, its underlying technologies, and then cover how to code ChatGPT to create your own Specialty ChatBot. The remaining classes will focus on two different projects that apply learnings on Computer Vision from the previous units to the real world problem of diagnosis based on medical imaging. In particular, we first model chest X-ray images using Fastai for CNN (pneumonia vs. normal vs. covid). We then model chest X-ray images by building CNN from scratch.
Designed by Stanford, Google & Apple Experts with kids in mind.
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US-based, background checked, highly trained and 3+ years of experience in their fields.
Show the world you did it. You really did it!
This class is part of our artificial intelligence for kids program and is also available in a fun artificial intelligence camp format during summer, winter, and spring breaks.
For beginner-level classes, we recommend:
Create with ChatGPT – A great starting point for students whether or not they enjoy coding. With expert guidance, students learn how to use ChatGPT effectively, understand its strengths and limitations, and develop important skills such as critical thinking, executive function, and creativity.
AI Explorers (Grades 4–8) – Covers a wide range of AI topics, including:
Students also learn the conceptual technologies behind AI systems, such as neural networks and supervised learning. This class requires prior experience with Scratch coding.
For more advanced students, we offer:
All of our AI classes focus on real-world applications and cutting-edge technologies. The curriculum is continuously updated as new developments in AI emerge.
