The Future is Ai!!
Leading the first full talent pipeline
Leading the first full talent pipeline
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
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
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
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
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)
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
Ethics & Responsible AI
Creativity & Innovation
Entrepreneurship
Teamwork & Communication
Nigerian & African AI case studies
AI Literacy Certificate (Primary–JSS)
AI Practitioner Certificate (SSS)
AI Engineer / Data Scientist (University)
AI Researcher / Policy Expert (Postgraduate)