FOUNDATION STAGE

Primary 1 – Primary 3 (Grades 1–3)

Goal: Digital awareness, logic, and safe technology habits

Courses:

1. Digital Literacy & Safety
   
   

   • What computers are and how they work
     
     

   • Safe use of phones and the internet
     
     

   • Understanding passwords and privacy
     
     

   • Good vs bad online behavior
     
     

2. Computational Thinking
   
   

   • Patterns, sequencing, and logic games
     
     

   • Problem-solving through puzzles
     
     

   • Basic “if–then” thinking
     
     

3. Introduction to Coding (Unplugged & Visual)
   
   

   • Coding without computers (cards, games)
     
     

   • Visual block coding (ScratchJr–style)
     
     

   • Simple animations and stories
     
     

4. Creative Technology
   
   

   • Drawing with computers
     
     

   • Sound, images, and storytelling with tech
     
     

   • Teamwork and creativity
     
     

DISCOVERY STAGE

Primary 4 – Primary 6 (Grades 4–6)

Goal: Hands-on computing, robotics basics, and cyber awareness

Courses:

1. Basic Programming
   
   

   • Block-based coding (Scratch)
     
     

   • Loops, events, and simple conditions
     
     

   • Creating games and quizzes
     
     

2. Robotics Fundamentals
   
   

   • What robots are and how they work
     
     

   • Simple robots using Micro:bit
     
     

   • Sensors, lights, buzzers, and motors
     
     

3. Cyber Safety & Digital Citizenship
   
   

   • Identifying online scams
     
     

   • Cyberbullying awareness
     
     

   • Protecting personal information
     
     

4. Introduction to Electronics
   
   

   • Batteries, wires, LEDs, switches
     
     

   • Simple circuits
     
     

   • Safety in electronics labs
     
     

5. Mini Tech Projects
   
   

   • Traffic light systems
     
     

   • Smart alarms
     
     

   • Classroom robots

EXPLORATION STAGE

Junior Secondary 1 – 3 (Grades 7–9)

Goal: Programming logic, real robotics, and cybersecurity basics

Courses:

1. Programming with Python (Beginner)
   
   

   • Variables, conditions, loops
     
     

   • Simple programs and games
     
     

   • Introduction to debugging
     
     

2. Robotics & Embedded Systems
   
   

   • Arduino programming
     
     

   • Robotic car design
     
     

   • Sensors (distance, light, temperature)
     
     

3. Introduction to Cybersecurity
   
   

   • What hackers do
     
     

   • Types of cyber threats
     
     

   • Password security & encryption basics
     
     

4. Data & Internet Basics
   
   

   • How the internet works
     
     

   • Data storage and cloud computing
     
     

   • Introduction to networks
     
     

5. AI Awareness
   
   

   • What Artificial Intelligence is (and isn’t)
     
     

   • AI in phones, cars, and games
     
     

   • Ethics and responsible use of AI
     
     

6. Group Innovation Projects
   
   

   • Smart school bell
     
     

   • Obstacle-avoiding robot
     
     

   • Simple security systems

SPECIALIZATION STAGE

Senior Secondary 1 – 3 (Grades 10–12)

Goal: Career-ready skills in AI, Cybersecurity, Robotics & Software

SS1 (Grade 10) – Core Technology Foundations

Courses:

1. Python Programming (Intermediate)
   
   

   • Functions and modules
     
     

   • File handling
     
     

   • Real-world applications
     
     

2. Cybersecurity Fundamentals
   
   

   • Malware and viruses
     
     

   • Firewalls and antivirus tools
     
     

   • Ethical hacking concepts
     
     

3. Robotics Systems Design
   
   

   • Advanced Arduino projects
     
     

   • Motor control and automation
     
     

   • Robotic arms and controllers
     
     

4. Web & App Basics
   
   

   • HTML, CSS basics
     
     

   • Simple web applications
     
     

   • Online security practices
     
     

SS2 (Grade 11) – Applied AI & Security

Courses:

1. Artificial Intelligence Fundamentals
   
   

   • Machine learning concepts
     
     

   • Data, models, and predictions
     
     

   • AI tools and platforms
     
     

2. Applied Cybersecurity
   
   

   • Network security
     
     

   • Cybercrime investigation basics
     
     

   • Digital forensics introduction
     
     

3. IoT & Smart Systems
   
   

   • Internet of Things (IoT)
     
     

   • Smart homes and cities
     
     

   • Secure device communication
     
     

4. Entrepreneurship & Innovation
   
   

   • Turning ideas into products
     
     

   • Tech startups and ethics
     
     

   • Problem-solving for society
     
     

SS3 (Grade 12) – Mastery & Career Readiness

Courses:

1. Advanced AI & Automation
   
   

   • AI-powered applications
     
     

   • Robotics automation
     
     

   • AI ethics and governance
     
     

2. Ethical Hacking & Cyber Defense
   
   

   • Penetration testing concepts
     
     

   • System vulnerabilities
     
     

   • Defensive security strategies
     
     

3. Capstone Project
   
   

   • AI or Robotics or Cybersecurity project
     
     

   • Team-based real-world solution
     
     

   • Project presentation and demo day
     
     

4. Career & Certification Readiness
   
   

   • Tech career pathways
     
     

   • Global certifications overview
     
     

   • University & industry preparation
     
     

Graduating Student Outcomes

By SS3, students can:

• Code confidently in Python
  
  

• Build and program robots
  
  

• Understand AI systems
  
  

• Practice safe and ethical cybersecurity
  
  

• Develop tech-based solutions
  
  

• Compete globally for STEM opportunities

UNIVERSITY-LEVEL COURSES (Undergraduate)

Year 1 – Digital & Programming Foundations

Goal: Build strong fundamentals for any tech specialization

Core Courses

1. Introduction to Computing & Digital Systems
   
   

   • Computer architecture basics
     
     

   • Operating systems overview
     
     

   • Digital logic & data representation
     
     

2. Programming Fundamentals (Python & C)
   
   

   • Variables, data types, control structures
     
     

   • Algorithms & problem-solving
     
     

   • Version control (Git)
     
     

3. Mathematics for AI & Computing
   
   

   • Linear algebra basics
     
     

   • Probability & statistics
     
     

   • Discrete mathematics
     
     

4. Cyber Ethics & Digital Citizenship
   
   

   • Ethics in technology
     
     

   • Data privacy laws
     
     

   • Responsible AI use
     
     

5. Introduction to Electronics & Embedded Systems
   
   

   • Microcontrollers
     
     

   • Sensors and actuators
     
     

   • Lab-based practicals

UNIVERSITY-LEVEL COURSES (Undergraduate)

Year 2 – Core Technology Skills

Goal: Develop practical competence across AI, Cyber & Robotics

Core Courses

1. Data Structures & Algorithms
   
   

   • Arrays, stacks, queues, trees
     
     

   • Algorithm analysis
     
     

   • Problem optimization
     
     

2. Object-Oriented Programming
   
   

   • OOP concepts (Python/Java)
     
     

   • Software design patterns
     
     

   • Code testing
     
     

3. Computer Networks
   
   

   • TCP/IP, OSI model
     
     

   • Routing & switching
     
     

   • Network security basics
     
     

4. Robotics & Control Systems
   
   

   • Robot kinematics
     
     

   • Motor control
     
     

   • Autonomous systems
     
     

5. Database Systems
   
   

   • SQL & NoSQL databases
     
     

   • Data modeling
     
     

   • Secure data storage
     
     

UNIVERSITY-LEVEL COURSES (Undergraduate)

Year 3 – Specialization Tracks

Goal: Let students choose a focus area

Track 1: Artificial Intelligence

• Machine Learning
  
  

• Neural Networks & Deep Learning
  
  

• Natural Language Processing (NLP)
  
  

• Computer Vision
  
  

Track 2: Cybersecurity

• Cyber Threats & Defense
  
  

• Ethical Hacking
  
  

• Cryptography
  
  

• Digital Forensics
  
  

Track 3: Robotics & Embedded AI

• Advanced Embedded Systems
  
  

• AI for Robotics
  
  

• Autonomous Vehicles
  
  

• Industrial Automation

UNIVERSITY-LEVEL COURSES (Undergraduate)

Year 4 – Industry & Research Readiness

Goal: Produce employable graduates and innovators

Capstone & Professional Courses

1. Final Year Project (AI / Cyber / Robotics)
   
   

   • Real-world problem solving
     
     

   • Industry mentorship
     
     

   • Research & deployment
     
     

2. Cloud Computing & DevOps
   
   

   • AWS / Azure fundamentals
     
     

   • CI/CD pipelines
     
     

   • Secure cloud systems
     
     

3. Tech Entrepreneurship
   
   

   • Product design
     
     

   • Startup funding
     
     

   • Intellectual property
     
     

4. Industrial Training / Internship
   
   

   • Industry placement
     
     

   • Field experience
     
     

   • Professional reporting

UNIVERSITY-LEVEL COURSES (Postgraduate Year 1)

AI & Data Science Certificate

• Python for Data Science
  
  

• Machine Learning with real datasets
  
  

• AI deployment basics
  
  

• AI ethics & governance

Cybersecurity Professional Certificate

• Network security
  
  

• Penetration testing
  
  

• Security operations (SOC)
  
  

Incident response

UNIVERSITY-LEVEL COURSES (Postgraduate Year 2)

Robotics & Automation Certificate

• PLC & industrial robotics
  
  

• Embedded programming
  
  

• IoT systems
  
  

• Smart manufacturing
  
  

WORKING-CLASS PROGRAMMES

Fast-Track Certificate Programmes (3–6 Months) 

AI & Data Science Certificate

• Python for Data Science
  
  

• Machine Learning with real datasets
  
  

• AI deployment basics
  
  

• AI ethics & governance
  
  

WORKING-CLASS PROGRAMMES

Fast-Track Certificate Programmes (3–6 Months) Boot Camp

Cybersecurity Professional Certificate

• Network security
  
  

• Penetration testing
  
  

• Security operations (SOC)
  
  

• Incident response
  
  

WORKING-CLASS PROGRAMMES

Fast-Track Certificate Programmes (3–6 Months) Executive Course

Robotics & Automation Certificate

• PLC & industrial robotics
  
  

• Embedded programming
  
  

• IoT systems
  
  

• Smart manufacturing
  
  

WORKING-CLASS PROGRAMMES 

Weekend Programme

Fast-Track Certificate Programmes (3–6 Months)

Goal: Upskill without quitting jobs

Courses Include:

• Practical Python for Professionals
  
  

• AI for Business & Finance
  
  

• Cybersecurity for Organizations
  
  

• Cloud & Infrastructure Security
  
  

• Robotics for Industrial Applications
  
  

Delivery Format

• Weekend classes
  
  

• Online + physical labs
  
  

• Real workplace case studies

WORKING-CLASS PROGRAMMES

Fast-Track Certificate Programmes (3–6 Months)

Executive & Management Courses

(Non-technical leaders)

1. AI for Managers & Executives
   
   

   • AI strategy
     
     

   • Decision-making with AI
     
     

   • AI risks and governance
     
     

2. Cyber Risk & Digital Security for Leaders
   
   

   • Cyber threats to organizations
     
     

   • Compliance & regulations
     
     

   • Incident management
     
     

3. Digital Transformation Leadership
   
   

   • Smart systems adoption
     
     

   • Automation strategy
     
     

   • Future of work
     (Industry-recognized)

• CompTIA Security+
  
  

• CEH (Certified Ethical Hacker)
  
  

• Cisco CyberOps
  
  

• AWS Cloud Practitioner
  
  

• Microsoft AI Fundamentals
  
  

• Python Institute Certifications
  
  

WORKING-CLASS PROGRAMMES

Fast-Track Certificate Programmes (3–6 Months)

Innovation, Research & Startups (Post-Training)

• Tech incubation programs
  
  

• AI & robotics research labs
  
  

• Startup mentorship
  
  

• Product commercialization
  
  

Graduate & Professional Outcomes

Learners can become:

• AI Engineers & Data Scientists
  
  

• Cybersecurity Analysts
  
  

• Ethical Hackers
  
  

• Robotics Engineers
  
  

• IoT Specialists
  
  

• Tech Entrepreneurs
  
  

• Digital Transformation Consultants