Advanced Track · Ages 10–16

AI Coding

Build real apps the way professional developers do. AI-Assisted.

7Course Units
1-on-1Live Classes
10–16Age Range
LiveDeployed Product

Industry-leading tools.
Real software.
AI assistance.

AI Coding is Strive's advanced course for students aged 10 to 16. Students don't just write code with AI. They tackle the full challenges of software development: designing architecture, understanding security, debugging complex systems, and making real product decisions about what to build and why.

Is this the right course for my child?

Good fit if your child...

  • Has completed Strive's coding fundamentals track, or has prior coding experience
  • Is aged 10 to 16
  • Wants to build real products, not just learn theory
  • Is interested in how apps, websites, and AI tools actually work underneath

Consider starting elsewhere if...

  • Your child is completely new to coding
  • They haven't completed Strive's coding fundamentals track (Units 1–7)
  • They're not yet comfortable reading code

New to coding? Start with our fundamentals track →

Why learn to code in an AI world?

This is the question every parent is asking right now.

The honest answer: coding is not about memorising syntax. It's about learning to think precisely, break problems into steps, and understand how systems work.

“AI can write code. It cannot yet decide what to build, catch its own mistakes, or know when the output is wrong.”

Students who understand what's happening underneath AI get dramatically better results from it. They write better prompts because they understand what they're asking for. They spot errors because they can read the output. They build things that actually work because they understand the structure.

We don't teach children math so they can compete with calculators. We teach it because the thinking it builds makes them more capable in every area of life. We recommend learning the coding fundamentals first, before Coding with AI for the same reason.

Coding with AI goes by different names: AI-first software development, AI-assisted coding, and others. The terminology is still settling because the field itself is moving fast. The tools students use in these classes evolve as the tools professionals use evolve: when a better AI coding assistant becomes available, we adopt it. What we teach isn't how to use one specific tool. It's how to evaluate, direct, and build on what AI produces, which transfers as the landscape changes.

What students actually build

Students in AI Coding Unit 7 work toward the same outcome: a fully deployed product of their own, built around a real idea, with user accounts and payment integration.

The full course breakdown

Three introductory sessions and seven units. Each session builds on the last.

Getting Started: 3 Sessions

Session A

Launch

Students build and deploy a live website in their very first class. It goes live on the internet. From the start, students learn to read what AI produces and question it, not just accept it.

Session B

Debug

Students open real AI-generated code, read through it, and make targeted edits by hand. Students who can read and fix code become far more effective with AI than those who can only prompt it.

Session C

Professional Tools

Students set up the same tools professional developers use: a local development environment, AI coding extensions, and the terminal commands used in real software teams.

Units 1–7
1

UI / UX Design

Students build reusable interface components and learn professional design frameworks. Understanding design terminology gives them precise control over AI output.

ReactTailwind CSSHTMLUI Libraries
2

GitHub and APIs

Students learn version control and how to connect their apps to external services, integrating real data sources like weather feeds and deploying updates to live websites.

GitGitHubAPIsVercel
3

Databases

Students build apps that store real user data and manage accounts. This is where complexity increases significantly. Students with coding foundations have a clear advantage.

Next.js DBAuthBackendData I/O
4

Prompt Engineering

Students learn to use four different AI tools strategically, practice planning an application before building it, and set up automated tests to evaluate AI suggestions before using them.

Multi-tool AIPlanningTesting
5

User Feedback

Students add real analytics to their products and use actual user behaviour data to improve them. They deploy to mobile and see how their design decisions affect real people.

Google AnalyticsPostHogMobile
6

Critical Evaluation

Students learn to recognise when AI suggestions are wrong, insecure, or solving the wrong problem entirely. This unit covers security vulnerabilities AI commonly introduces and how to catch them.

SecurityDebuggingCode Quality
7

Startup Project

Students build a complete, monetizable web product from their own idea. They conduct basic user research, design the product, build it, and create a simple launch plan. Stripe payment integration is included.

StripeUser ResearchFull-StackLaunch
What they build: A live, deployed web application with user accounts, a database, and payment processing. Portfolio-ready. University application-ready.

AI Coding vs Traditional Coding

Traditional CodingAI Coding
ApproachWrite every line from scratchBuild with AI tools, read and edit the output
PaceSlower, focused on deep fundamentalsFaster to working products, still requires real understanding
What students shipSmaller projects, strong technical foundationsFull-stack web apps with databases and payments
Best forComplete beginners building core skillsStudents with some experience who want to build real products
AI tools usedNone4 professional AI coding assistants
End resultStrong foundation for any coding pathA deployed product ready for portfolio or university application

Both tracks are available at Strive. Most students complete the coding fundamentals track before moving to AI Coding.

Frequently asked questions

Does my child need to know how to code already?

We strongly recommend completing Strive's coding fundamentals track (Units 1 to 7) before starting AI Coding. Students with equivalent experience from other courses can join directly. If you're unsure, book a trial class and we'll assess their level together.

What age group is this course for?

Students aged 10 to 16. Classes are online, so your child can join from anywhere in the world. We have a strong community of students in Singapore.

How are classes structured?

All classes are 1-on-1 with a Strive teacher. Each class is one hour. The teacher adjusts the pace to your child. There's no class to keep up with.

What does my child actually end up with?

A live, deployed web application they built themselves, with user accounts, a real database, and payment integration. They also receive a Strive certificate they can attach to school or university applications.

How is this different from other coding courses for kids?

Most coding courses for kids use simplified tools and stop at writing code. Strive's AI Coding course uses the same tools professional developers use (Next.js, React, GitHub, Vercel, real AI coding assistants) and covers the challenges that go beyond code: architecture decisions, security, debugging, and product thinking. Those tools also get updated as better ones emerge, so students are always working with what's current.

Can my child add this to their university application?

Yes. The certificate and the deployed project are both designed for this purpose. A working web application with real users is a stronger portfolio piece than most students applying to university can show.

Families who've seen the difference

It's the only class where my kid is asking for more classes.

Parent of a Strive student

Singapore

The teachers are fantastic. They're more like mentors and friends than lecturers.

Parent of a Strive student

Singapore

Start with a free trial class

Your child's first class is free. They'll build something in the session, not just talk about coding. After the class, you speak with us about next steps. No pressure to continue.

Book a Free Trial Class

1-on-1 · Online · Ages 10–16