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AI Builder Level

Star IconRobotics & AI

Machine Learning & Artificial Intelligence

Years 9-10 | Code to AI Pathway

Robotics & AI

AI Builder Level represents the pinnacle of MeritVy’s Code to AI Pathway—transitioning Years 9-10 students from programming robots to creating intelligent systems that learn from experience.

This advanced 60-hour program introduces machine learning fundamentals, data science methodologies, and AI model development using industry-standard Python libraries.

Program Overview

Students advance from explicit programming to artificial intelligence—machines that improve through experience, algorithms that identify patterns in massive datasets, and systems making intelligent decisions without explicit programming. They implement neural networks, train models on real datasets, and deploy AI systems for robotics applications.

Three AI Builder Courses

1

Course 1: Learn Python Programming (Advanced) (20 Hours)

Advanced Python reinforcement introducing sophisticated programming concepts essential for machine learning—list comprehensions, lambda functions, object-oriented design, and exception handling for production-quality AI development.

Learning Objectives

    CheckAdvanced control structures: nested loops, complex conditionals, comprehensions, generators, decorators
    CheckComplex list data structures: multi-dimensional lists, dictionary comprehensions, set operations, efficient selection
    CheckError finding in complex systems: Python debuggers, profiling tools, logging frameworks, systematic debugging
    2

    Course 2: Python Primer for Machine Learning (20 Hours)

    Data science foundations—manipulating large datasets, statistical analysis, and sophisticated visualisations using NumPy, Pandas, Matplotlib, and Seaborn. Essential data processing skills underpinning all machine learning and AI applications.

    Learning Objectives

      CheckArrays and matrices with NumPy: n-dimensional arrays, matrix operations, broadcasting, vectorised computations
      CheckData processing with Pandas: loading CSV files, cleaning missing values, filtering, aggregations, merging sources
      Check2D and 3D graphs: data visualisation for understanding datasets, patterns, presenting analysis, debugging models
      3

      Course 3: Machine Learning Using Python (20 Hours)

      Learn from data, make predictions, and improve through experience. Students explore supervised learning, unsupervised learning, search algorithms, and predictive analytics using Scikit-learn.

      Learning Objectives

        CheckSearch algorithms and optimisation: breadth-first search, depth-first search, A-star pathfinding, genetic algorithms
        CheckExpert systems and knowledge representation: rule-based AI, logical reasoning, intelligent recommendations
        CheckPredictive analysis: classification models, regression models, ensemble methods for AI applications

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        Class Environment

        Maximum 10 students ensures expert mentorship through sophisticated AI curriculum. Instructors—many with AI research and machine learning engineering backgrounds—provide personalised guidance through complex algorithms and implementation challenges.

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        Assessment and Recognition

        Learning is assessed through teacher observation of in-class activities—watching students approach challenges, debug code, and collaborate with peers. No formal tests or examinations. Upon successfully completing all three AI Builder Level courses (60 hours total), students receive a MeritVy AI Builder Level Certificate and medal—official recognition of their achievements that families can celebrate and students can display proudly. Parents track progress through the MeritVy Parent App with uploaded photos, project videos, and instructor observations.

        Learning Outcomes
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        Advanced AI Competencies

        CheckMathematical foundations: linear algebra, calculus for optimisation, probability theory, information theory
        CheckResearch methodology: hypothesis formulation, controlled experiments, statistical analysis, evidence-based conclusions
        CheckEthical AI considerations: fair algorithms, autonomous system responsibilities, privacy concerns, societal implications

        Beyond AI Builder

        AI Builder completion marks Code to AI Pathway culmination but represents the beginning of lifelong AI engagement. Graduates possess foundations for university computer science specialising in machine learning, data science research, competitive programming, and eventual careers developing AI technologies shaping our future. The certificate and medal document exceptional achievement—the pinnacle of the Code to AI Pathway journey.

        Star IconLaunch Your AI Career

        AI Builder Level offers Years 9-10 students extraordinary preparation for university, competitive opportunities, and AI careers.

        Requires successful Developer Level completion or equivalent Python proficiency. Contact your nearest MeritVy Learning Centre. Limited to 10 students per class. AI Builder Level is preparation for leadership in the AI-powered future. Builder intelligence today, transform tomorrow.

        Book a FREE Demo