Cyber Security & Artificial Intelligence Centre of Excellence (CoE)
School-Level Program Framework

The Cyber Security & AI Centre of Excellence (CoE) aims to equip students with foundational to intermediate knowledge in digital safety, ethical hacking basics, and artificial intelligence concepts.
The program is designed for school students (Grades 6–12) with a strong focus on hands-on learning, ethics, and real-world applications.

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Program Objective

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• Build awareness of cyber threats and safe digital practices

• Introduce AI concepts and real-life applications

• Develop problem-solving and logical thinking skills

• Encourage ethical use of technology

• Prepare students for future careers in tech domains

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Target Group

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• Level 1: Grades 6–8 (Foundation)

• Level 2: Grades 9–10 (Intermediate)

• Level 3: Grades 11–12 (Advanced)

• Target group will be chosen by two level process

  • Identification by the schools​

  • Interaction by us and IEM Labs

  • Counselling sessions

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Program Duration​​

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• Academic Year Program (9–10 months)

• 4 Hours per Week

• Total: 140–160 Hours annually

• Duration will be customised depending on school requirement

• This structure would for each Level and Grades

• Mode Options:​

  • Blended (Combination of both)

    • ​Online (Live Instructor-led)

    • Offline (Classroom-based)

• Exact mode will be decided depending upon school requirement

• Schools may decide to take up this program for each class/ sections or as decided by them

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Weekly Class Structure (4 Hours Plan)​​

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          Session                   Duration         Focus Area
          Session 1                1 Hour               Concept Learning (Theory)

          Session 2                1 Hour               Practical / Lab Activity

          Session 3                1 Hour               Project Work / Case Study

          Session 4                1 Hour               Assessment / Discussion / Quiz

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Teaching Methodology​​

• Interactive Lectures

• Hands-on Labs

• Group Discussions

• Real-life Case Studies

• Gamified Learning

• Project-Based Learning

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Assessment & Evaluation​​

         Component                                Weightage
         Weekly Quizzes                             20%
         Practical Assignments             30%
         Project Work                                    30%
         Final Assessment                         20%

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Tools & Resources (To be provided by  IEM Labs)​​

• Scratch / Blockly (for beginners)

• Python (basic level for senior students)

• Teachable Machine / AI tools

• Cybersecurity simulation platforms

• Safe lab environment (controlled)

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Infrastructure Requirement  (Schools need to to put)​​

• Computer Lab with Internet

• Projector / Smart Board

• Basic Cyber Lab Setup (secured environment)

• AI Tools Access (cloud-based preferred)

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Detailed Syllabus

Given below detailed syllabus. The intensity of deliverables will vary depending on grades. For Grade 6 levels topic deliverables will be at basic level, while for Grade XII these will be more advanced. Idea is to make the students get grip on the topics as they grow up intellectually and by age. By Grade XII the topics will assist them to make a proper choice of career.

We can customise the topics and coverage depending upon the schools and the candidate profile. 

• MODULE 1: Digital Awareness & Cyber Safety (20 Hours)

  • Topics Covered​​

    • Introduction to Internet & Digital Footprint

    • Types of Cyber Threats (Phishing, Malware, Ransomware)

    • Password Security & 2FA

    • Social Media Safety

    • Cyber Laws & Ethics (Basic)

  • Activities​

    • ​Creating strong passwords

    • Identifying fake emails/websites​​​

• MODULE 2: Fundamentals of Cyber Security (30 Hours)

  • Topics Covered

    • Basics of Networking (IP, DNS, HTTP/HTTPS)

    • Encryption & Data Protection

    • Introduction to Ethical Hacking

    • Types of Hackers (White, Grey, Black)

    • Safe Browsing Practices

  • ​LAB Work

    • Network simulation basics

    • Simple encryption exercises

• ​MODULE 3: Ethical Hacking Basics (Advanced Levels) (25 Hours)

  • Topics Covered 

    • Footprinting & Reconnaissance

    • Vulnerability Basics

    • Introduction to Kali Linux (demo level)

    • Web Security Basics

  • ​Projects

    • Simulated security testing

    • Website vulnerability awareness

• MODULE 4: Introduction to Artificial Intelligence (30 Hours)

  • Topics Covered

    • What is AI?

    • AI vs Machine Learning vs Deep Learning

    • Applications of AI (Healthcare, Education, Robotics)

    • AI Ethics & Bias

  • Activities

    • ​AI-based games/tools

    • Chatbot interaction exercises

• ​MODULE 5: Machine Learning Basics (20 Hours)​

  • Topics Covered

    • ​Types of ML (Supervised, Unsupervised)

    • Data & Algorithms (basic idea)

    • Simple models (classification concept)

  • PRactical

    • ​No-code ML tools (e.g., Teachable Machine)

    • Pattern recognition exercises

• ​MODULE 6: AI + Cyber Security Integration (10 Hours)

  • Topics Covered

    • AI in Threat Detection

    • Fraud Detection Systems

    • Future of AI in Security

• MODULE 7: Capstone Project (15–20 Hours)

  • Students will create projects such as :

    • Cyber safety awareness campaign

    • AI-based mini project (chatbot/image recognition)

    • Security awareness website/poste​