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AI Applied Learning

AI & GenAI for Ages 13-15

About

A practical and engaging program where students learn to apply AI concepts in real-world scenarios. Learners experiment with AI models, work with Python code, explore decision-making logic, solve challenges, and build meaningful projects that connect technology to everyday life. This stage strengthens computational thinking and prepares students for advanced applications.

Program Overview

Core Learning Goals

  1. Deepen understanding of AI, ML, and GenAI fundamentals
  2. Develop data literacy with hands-on analysis and visualization
  3. Learn Python programming basics for AI applications
  4. Create practical GenAI-powered projects and tools
  5. Build critical thinking through AI decision-making and modeling
  6. Explore AI applications and career pathways
  7. Develop a portfolio of meaningful projects

Teaching Philosophy

  1. Challenging students with real-world complexity and datasets
  2. Guiding discovery through hands-on experimentation and projects
  3. Fostering independent problem-solving and debugging
  4. Connecting learning to career pathways and societal impact
  5. Encouraging creative, responsible, and ethical use of AI tools

40-Hour Foundation Track

Module 1 – AI & GenAI Fundamentals

Understand how AI systems work, learn from data, and make decisions. Explore real-world applications and ethical implications.

Module 2 – Data Science & Decision-Making

Load real datasets, visualize patterns, and understand how data shapes AI predictions and decisions.

Module 3 – Python Basics & AI Logic

Learn Python programming fundamentals and how to apply them to solve AI-related problems.

Module 4 – GenAI-Powered Projects

Use ChatGPT, DALL-E, and other tools to create content, prototypes, and interactive applications responsibly.

Module 5 – Capstone Project

Build a meaningful project demonstrating applied AI knowledge: analysis report, Python application, or GenAI-powered tool.

60-Hour Advanced Track

Module 1 – AI & GenAI Foundations (Advanced)

Deep dive into neural networks, LLMs, ML algorithms, and real-world AI systems in industry.

Module 2 – Data Science & Analytics (Advanced)

Advanced data cleaning, statistical analysis, predictive modeling, and professional visualizations.

Module 3 – Python & AI Development (Advanced)

Build ML models from scratch, work with APIs, deploy applications, and optimize code.

Module 4 – GenAI & Advanced Applications (Advanced)

Advanced prompt engineering, chatbot development, and multi-tool AI applications.

Module 5 – Advanced Capstone Project

Portfolio-worthy final project: end-to-end ML system, research paper, or production-ready AI application

Let's Shape The Future Together

Partner with NIREKA to build the skills, confidence, and future ready mindset required to succeed in an AI-driven world.

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