The Future is Ai!!

Primary 1 – 3 (Ages 5–8): AI Awareness & Digital Thinking

Goal: Build curiosity, basic logic, and awareness of smart technologies.

Core Topics

• What is a computer?

• What is AI? (smart machines explained with stories)

• AI in daily life (phones, games, traffic lights)

• Patterns and sequencing

• Introduction to logic (if–then thinking)

Practical Activities

• Picture‑based AI games

• Voice assistants interaction (Google Assistant, Siri)

• Sorting and pattern games

• Storytelling with AI characters

Tools

• ScratchJr

• Educational robots (Bee‑Bot, Code‑a‑pillar)

Assessment

• Draw and explain an AI idea

• Oral questions

Primary 4 – 6 (Ages 9–11): Introductory AI & Coding

Goal: Introduce computational thinking and simple AI concepts.

Core Topics

• What makes machines smart?

• Data and information

• Simple algorithms

• Introduction to coding

• Ethics: Using technology responsibly

Practical Activities

• Block‑based coding

• Train a simple image or sound classifier

• Build a chatbot with blocks

Tools

• Scratch

• Teachable Machine

• Micro:bit (intro level)

Mini Projects

• Smart quiz game

• Simple AI story chatbot

JSS 1 – 3 (Ages 12–14): Foundations of Artificial Intelligence

Goal: Understand AI concepts, data, and beginner programming.

Core Topics

• History and types of AI

• Data collection and labeling

• Introduction to Python (basics)

• Machine learning concepts

• AI ethics and bias

• AI in Nigeria (health, agriculture, finance)

Practical Activities

• Python programming basics

• Build a rule‑based chatbot

• Image and text classification

Tools

• Python (IDLE / Jupyter)

• Scratch + Python bridge

• Teachable Machine

Projects

• AI quiz bot

• Simple face or object recognizer

SSS 1 – 3 (Ages 15–17): Applied AI & Machine Learning

Goal: Prepare students for tertiary‑level AI and careers.

Core Topics

• Python for AI (intermediate)

• Data science basics

• Machine learning algorithms

• Neural networks (intro)

• Computer vision

• Natural language processing

• AI for business and social impact

• Cybersecurity awareness in AI systems

Practical Activities

• Build ML models

• AI‑powered recommendation systems

• AI + Robotics integration

• Capstone AI project

Tools

• Python (NumPy, Pandas, Scikit‑learn)

• TensorFlow / PyTorch (intro)

• Arduino + AI modules

Capstone Projects

• Smart attendance system

• AI‑powered agriculture app

• Fraud detection model

Undergraduate (BSc / BEng / BTech)

Goal: Develop professional AI engineers, researchers, and innovators.

Core Courses

• Mathematics for AI (Linear Algebra, Probability)

• Data Structures & Algorithms

• Machine Learning

• Deep Learning

• Natural Language Processing

• Computer Vision

• Reinforcement Learning

• AI Ethics, Law & Policy

• AI Security & Privacy

• AI Product Development

Practical Components

• Real‑world datasets

• Industry‑based projects

• Internships

• Research projects

Tools

• Python, R

• TensorFlow, PyTorch

• Cloud AI (AWS, Azure, GCP)

• Git & DevOps

Final Year Project

• Deployable AI solution (health, fintech, robotics, edtech)

POSTGRADUATE LEVEL

PGD / MSc / PhD in Artificial Intelligence

Goal: Produce AI specialists, researchers, and policy leaders.

Advanced Core Topics

• Advanced Machine Learning

• Deep Neural Architectures

• Generative AI & Large Language Models

• Explainable AI (XAI)

• AI Governance & Ethics

• AI for National Development

• AI Security & Adversarial Attacks

• Research Methodology

Specializations

• AI in Healthcare

• AI in Robotics & Automation

• AI in Finance (FinTech)

• AI in Cybersecurity

• AI in Education

Research & Output

• Publishable thesis

• AI startups & patents

• Policy advisory reports

CROSS‑CUTTING MODULES (ALL LEVELS)

• Ethics & Responsible AI

• Creativity & Innovation

• Entrepreneurship

• Teamwork & Communication

• Nigerian & African AI case studies

CERTIFICATION & CAREER PATHWAYS

• AI Literacy Certificate (Primary–JSS)

• AI Practitioner Certificate (SSS)

• AI Engineer / Data Scientist (University)

• AI Researcher / Policy Expert (Postgraduate)