Grades 9-12

Advanced Python, AI/ML & Intelligent Systems

Move from using technology to designing it.

Students deepen their programming and AI knowledge while designing data-driven systems, Generative AI applications and portfolio-level technical projects.

Technical depth grows alongside product thinking and independent execution.
A high-school student developing a machine-learning application
Live 1:1 learningPaced for the student
Develop withAdvanced Python
EngineerAI/ML systems
PresentPortfolio projects
What learners develop

Skills That Matter at Grades 9-12

The goal is not to collect tools. It is to build technical understanding, problem-solving ability and the confidence to create.

Each concept is introduced through guided practice, applied in a project and revisited at greater depth as the learner progresses.

01

Advanced Python

Modular programming, object-oriented concepts, APIs, data processing and application architecture.

02

Machine learning

Prepare datasets, select approaches, train models, evaluate results and improve performance.

03

Model development

Understand the complete model-building workflow instead of only using a prebuilt tool.

04

Generative AI apps

Build with modern AI models, prompting techniques, APIs and structured workflows.

05

Product & system thinking

Connect components into complete applications designed around a meaningful user need.

06

Portfolio development

Plan, document, test, improve and communicate increasingly sophisticated technical work.

Learning by building

What Students Can Create

Project choices adapt to the learner's interests, experience and pace. These examples show the level and direction of the work.

ML01
Project type

Machine learning

Prediction or classification systems built from real datasets.

AI02
Project type

AI products

Useful web or software tools powered by AI models and APIs.

DATA03
Project type

Data

Analysis projects that turn complex information into clear insights.

BUILD04
Project type

Capstone

A substantial original build documented and refined for a technical portfolio.

The learning path

A Clear Progression, Personalized in Every Class

The sequence builds strong foundations while the mentor adjusts examples, challenge level and project direction for the individual learner.

1:1

One student. One mentor. Space to ask questions, revisit ideas and move forward at the right pace.

  1. 01

    Engineer

    Write modular Python and connect applications to APIs, data and external services.

  2. 02

    Model

    Prepare data, train an approach, compare results and explain limitations.

  3. 03

    Integrate

    Turn code and AI capabilities into a complete, usable technology solution.

  4. 04

    Launch

    Test, document, present and refine a portfolio-ready capstone project.

The outcome

Progress You Can See in Code, Projects and Thinking.

The ability to design and build substantial technology projects that demonstrate programming, AI and problem-solving skills.

  • Structure maintainable Python applications
  • Develop and evaluate an AI/ML workflow
  • Connect models, APIs and interfaces
  • Present technical decisions through a polished portfolio
Explore all stages

See the complete Grades 3-12 learning journey

Explore next
Find the right starting point

Start With a Live 1:1 Trial Class.

A STEMnox mentor will understand your child's current skills, interests and readiness, then recommend an appropriate path within Grades 9-12.

Book a Free Trial
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