Top Rated AI, Coding Classes for Kids

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.

In this first part of our Python coding course, we start to learn core concepts of Python syntax, loops, data types, variables, and a lot more. We will build a smooth transition for kids to up-level from block coding such as Scratch, to Python's text-based coding. Students will learn fundamental Python skills as they build creative stories, animations, and games. Basic topics will include using Python syntax, variables, loops, functions, and built-in data structures.

In part 2 of our Python coding course, students will begin using Python for AI and data science. We will explore more advanced programing elements of Python such as dictionaries and files, and learn how to employ Python’s powerful modules to build games, stories, and real-world data projects.

Part 3 covers a good amount of advanced Python coding for kids. Students will be introduced to object-oriented programming, and learn how to use Python classes and objects to complete more complex games and applications.

In this final part of our Python programming course for kids, students will be introduced to more advanced Python concepts, including data structures such as 2D arrays, as well as using new modules and the API for an AI system. Students will also become creators of their own independent Python projects. By the end of the course, they will design and code their own Python program from scratch. To help them prepare, students will practice reading code written by other people and leveraging the Python documentation, to accomplish new things that are not covered by the teacher during class.