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“Should today’s students still learn coding?”—you might be wondering, because of the rapid development of AI. The answer is an unequivocal YES! But the real question we should be asking is: What should learning coding look like for young learners today?
“Vibe Coding is the future,” according to Y Combinator, a leading venture capital firm, and many tech leaders. The idea of Vibe Coding—a term coined by top AI expert Andje Kacapsi—refers to a programming approach that uses AI tools to generate code based on natural language instructions, rather than manually writing all the code. It allows programmers to code 3x, 10x, or even 100x faster, depending on the use case.
This is the world our students will live in, and this is the kind of coding ability they need to develop. The good news? Working with AI to code effectively is not very difficult—but it does require students to learn how to do it. And the more coding knowledge students master, the more effectively they’ll be able to collaborate with AI.
In this innovative class, students will learn how to develop far more advanced projects, faster, by working alongside AI using Python. This skill not only sets a strong foundation for their long-term success in the real world, but is also valuable for school projects, science competitions, and even summer internships.
In particular, students will
Develop problem-solving skills by leveraging AI - Learn how to break down complex problems into manageable steps and how to develop and use test cases.
Gain more fluency in writing Python code - Know when and how to use various data structures as well as construct and organize more complex functions.
Learn how to code collaboratively with AI - Find the right balance between learning and building quickly. Solve problems faster and more effectively with AI assistance, and learn along the way.
Get introduction to computer algorithms - Explore selected popular algorithms and develop intuition for choosing the right algorithm for a task.
Apply coding with AI skills to solve a variety of real-world problems.
Students should have completed our Python for AI class or equivalent before taking this course.
The first unit introduces students to the foundational techniques for working with AI effectively to code, such as what learners should do and what we have AI do, how to learn in the process, and how to approach complex projects. We will also develop several fun projects while learning and apply these techniques to create pixel and ASCII art, analyze business data, and build the WebGrid game used by Neuralink. Along the way, they’ll also explore key computer science concepts such as sorting algorithms, string search techniques, and image manipulation.
Unit 2 focuses on leveraging AI to develop more complex algorithms and projects. We will build a web scraping project and use the ChatGPT API to analyze a Pokémon website, which is both fun and engaging. Students will also learn algorithms and develop a YouTube recommendation system that can dynamically call the YouTube API to find the most relevant videos.
Through building these popular applications, students will not only gain system-level insights for developing real-world solutions, but also understand the underlying architecture and learn how to apply these techniques to a broad range of problem-solving scenarios.
Student must have completed Python for AI courses or equivalent before taking this class.
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