School Cybersecurity & AI Program (Class 6–12)

Practical Learning in Action

Empowering the next generation of technology innovators

Our Professional Curriculum

Industry-oriented learning designed for schools, colleges, and academic partnerships seeking future-ready technology education.

1

How the internet works in real-world environments

Digital identity and online presence

Digital footprint and its long‑term impact

Common cyber risks students face today

Safe browsing and secure online behaviour

Cyber hygiene practices used by security professionals

Real‑life student cyber incident discussion

Digital footprint self‑assessment activity

2

Importance of authentication in cybersecurity

Strong vs weak password comparison

Password reuse and credential leak risks

Common password attack techniques (conceptual only)

Secure password creation strategies

Password managers and secure storage

Two‑Factor and Multi‑Factor Authentication (2FA/MFA)

Password strength testing lab

Enabling 2FA on demo environments

3

Understanding the phishing attack flow

Email phishing, smishing, and vishing attacks

Fake websites and malicious link identification

Psychology behind social engineering attacks

Online scams targeting students and families

Identifying red flags in messages and emails

Phishing email detection exercises

Fake vs genuine website comparison

Scam reporting simulation

4

Social media attack surface and privacy risks

Account takeover and impersonation risks

Privacy and security settings management

Oversharing and digital reputation impact

Cyberbullying and online harassment awareness

Mobile device security fundamentals

App permissions and data misuse

Risks of public Wi‑Fi and unsecured networks

Live social media privacy audit

Mobile application permission review

5

What data is and why it is valuable

Personal data vs sensitive data classification

Real-world data breach incidents (case studies)

How data leaks occur in practical scenarios

Introduction to cybercrime and its impact

Basics of Indian cyber laws for students

Digital rights and responsibilities

Cybercrime reporting awareness and walkthrough

Data breach case study analysis

6

What cybersecurity means in real environments

Common cyber attacks explained with examples (DDoS, ransomware, phishing)

Malware types and real‑world behaviour (virus, worm, trojan, spyware)

Understanding vulnerabilities and misconfigurations

Ethical hacking concepts and boundaries

Red Team vs Blue Team overview

Defensive security mindset development

Attack and defence flow walkthroughs

7

Basic networking concepts: IP, DNS, ports, protocols

How devices communicate over networks

How attackers identify weak networks (conceptual)

Firewalls and access control basics

Secure Wi‑Fi configuration concepts

Importance of software updates and patching

Malware infection flow explanation

Network diagram analysis exercise

8

Introduction to AI: what it is and what it is not

AI vs traditional security approaches

Role of AI in threat detection (spam filters, anomaly detection)

AI‑based spam and fraud detection

Behavior‑based anomaly detection (how AI learns “normal”)

Limitations of AI in cybersecurity (false positives, bias)

AI-powered security system demonstrations

9

How ML models learn from data (training, testing, accuracy)

Supervised, unsupervised, and reinforcement learning (simple analogies)

ML in fraud detection (credit card, banking)

Anomaly detection use cases (network intrusion, account takeover)

Data bias and false positives in security systems

No-code ML model demonstration

Security-focused ML case studies

10

Understanding IoT and smart devices (home, classroom, city)

Common security weaknesses in IoT systems

Smart home and smart city security risks

Automation and connected system threats

AI‑powered automation examples (good and bad)

Securing connected environments

IoT risk assessment activity

1

Principles of ethical hacking

Compliance and legal boundaries

Security fundamentals

2

TCP/IP protocol suites

Routing and traffic routing mechanics

Deep packet inspections

3

Configuring clean environments

Securing sandbox setups

Basic defensive tools

4

Attacking and defending passwords

MFA bypass mitigation

Credential store security

5

Open source intelligence collection

Information gathering strategies

Target footprinting

6

Port scanning & service discovery

Network mapping techniques

System banners gathering

7

Discovering known vulnerabilities

Exploit tools execution (Metasploit)

Remediation planning

8

Privilege escalation on Linux & Windows

Lateral movement in active directory

Maintaining persistent access safely

9

Clearing logs and system traces

Documenting technical audit steps

Executive reporting guidelines

10

Phishing scenarios setup

Human psychology exploitation

Defense and user awareness training

11

Wireless networks vulnerability assessment

Securing IoT interfaces

Radio frequency testing basics

12

Interactive Capture the Flag challenge

Vulnerability chain challenge

Team-based attack and defense drill

1

Double-spending problem

Decentralized consensus

Distributed ledger benefits

2

Hash functions (SHA-256)

Asymmetric key cryptography

Public and private keys usage

3

Block header & body structure

Merkle trees details

Chaining blocks together

4

Proof of Work mechanism

Nonce calculation

Mining rewards & hardware

5

Proof of Stake (PoS)

Delegated PoS and PBFT

Sybils defense comparison

6

UTXO transactions model

Bitcoin network nodes

Wallets & seed phrases security

7

Solidity basics

Execution on virtual machines

Contract compilation & deployment

8

EVM gas fees architecture

Web3 providers integrations

dApp user interface building

9

Supply chain tracing

Decentralized identity (DID)

Healthcare records management

10

51% attacks scenario

Reentrancy vulnerability in smart contracts

Flash loan exploits

11

Decentralized Autonomous Organizations structures

Web3 browsers

Sovereign identity concepts

12

Coding a mock chain in python/JS

Simulating peer nodes sync

Adding transaction pool validation

1

Defining artificial intelligence

Strong AI vs. Weak AI

Brief history of computing and AI

2

Data cleaning process

Feature engineering basics

Handling missing values

3

Supervised learning introduction

Unsupervised learning overview

Reinforcement learning basics

4

Vectors and matrices

Probability and statistics

Gradient descent concept

5

Linear and Logistic Regression

Decision trees and Random Forests

Evaluating model accuracy metrics

6

K-Means clustering

Dimensionality reduction (PCA)

Market basket analysis applications

7

Perceptron fundamentals

Hidden layers & activation functions

Backpropagation concepts

8

Tokenization & word embeddings

Sentiment analysis models

Recurrent Neural Networks (RNNs) usage

9

Image classification concepts

Convolutional Neural Networks (CNNs)

Object detection and segmentation

10

Transformers architecture overview

Prompt engineering tactics

Fine-tuning pre-trained models

11

Detecting algorithmic bias

Adversarial input noise injection

Responsible AI guidelines

12

Training an image/text classifier

Deploying the model interface

Testing model against hostile inputs

Additional Program Features

We go beyond the classroom with expert-led sessions and practical certifications.

Student Certification

Module Completion & Final Program Completion Certificates provided.

Faculty Awareness

Dedicated sessions for teachers and school staff to build digital awareness.

Monthly Workshops

Expert-led workshops focused on emerging technologies and cyber awareness.

Intensive Bootcamps

1 to 5-day practical bootcamps covering AI tools, Blockchain, and Innovation challenges.

Live Demonstrations

Real-time phishing demonstrations and threat simulation labs for practical exposure.

Innovation Projects

Mini technology projects and team-based problem-solving exercises.

Value Proposition

Why Our Program Stands Out

We deliver a transformative educational experience that bridges the gap between academic theory and real-world technology application.

Industry-Oriented Curriculum

Designed according to modern technology trends and future digital workforce requirements.

Practical Learning Approach

Hands-on activities, labs, demonstrations, and innovation-based learning.

Future Tech Exposure

Early exposure to Cyber Security, AI, Blockchain, Web3, and Digital Innovation.

Expert-Led Training

Delivered by experienced professionals from Cyber Security, AI, and Emerging Tech domains.

Supported by Industry Experts

Backed by TSN Security's Professional Services

Our curriculum is built on the real-world experience of TSN Security, leveraging expertise from advanced investigative and defense services.

VAPTForensicsExecutive ProtectionTech Based TrainingRed TeamingCyber Crime InvestigationOSINT IntelligenceBrand ProtectionCorporate Investigation

VAPT

Forensics

OSINT

Red Team

Training with Professional Tech & Hacking Tools

We focus on industry readiness. Students gain practical experience using the exact same software and libraries deployed by cybersecurity, AI, and blockchain professionals worldwide.

Kali Linux

Penetration Testing OS

Wireshark

Network Traffic Analysis

Nmap

Vulnerability Scanning

Metasploit

Exploitation Framework

Burp Suite

Web App Security

TensorFlow

AI / Neural Networks

Solidity

Smart Contracts Development

Python

Core Security Scripting

PyTorch

Deep Learning Research

Docker

Application Containerization

Git

Distributed Version Control

Linux

Core System Foundations

Student Success

The Proof is in the Results: Student Testimonials

Read how our 1-year certified training empowers high school and college students to master complex technical domains.

“

★★★★★

"TSN's cyber security program is hands-down the best training I've ever experienced. Getting to run active directory pentesting and packet inspection labs on mock networks gave me real hacker skills that textbooks just can't teach."

Aman Sharma

Grade 11 Student / Cybersecurity Enthusiast

“

★★★★★

"The AI/ML modules are outstanding. I went from knowing basic Python to training neural networks and building deep learning classifiers. The capstone hack simulation was both challenging and incredibly rewarding."

Priyanjali Roy

B.Tech Computer Science Student

“

★★★★★

"Designing and deploying a decentralized application on an Ethereum test network was mind-blowing. The curriculum makes complex cryptography and consensus algorithms incredibly easy to follow and build."

Kabir Mehta

Grade 12 Student / Web3 Developer

ACADEMIC PARTNERSHIP

Empower Your Students Today

Partner with TSN Security to build a digitally aware, security-conscious, and innovation-driven student body.

School Cybersecurity & AI Programs

Practical Learning in Action

Our Professional Curriculum

Cybersecurity Awareness

Module 1: Digital Foundations & Cyber Safety

Module 2: Password Security & Account Protection

Module 3: Phishing & Social Engineering

Module 4: Social Media, Mobile & App Security

Module 5: Data Security, Privacy & Cyber Laws

Module 6: Cybersecurity Fundamentals & Ethical Hacking

Module 7: Network & System Security Basics

Module 8: Artificial Intelligence in Cybersecurity

Module 9: Machine Learning for Security Use Cases

Module 10: IoT, Smart Devices & Automation Security

Cybersecurity and Ethical Hacking Program

Module 1

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Module 10

Module 11

Module 12

Blockchain

Module 1

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Module 10

Module 11

Module 12

AI/ML

Module 1

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Module 10

Module 11

Module 12

Additional Program Features

Student Certification

Faculty Awareness

Monthly Workshops

Intensive Bootcamps

Live Demonstrations

Innovation Projects

Why Our Program Stands Out

Industry-Oriented Curriculum

Practical Learning Approach

Future Tech Exposure

Expert-Led Training

Backed by TSN Security's Professional Services

VAPT

Forensics

OSINT

Red Team

Training with Professional Tech & Hacking Tools

Kali Linux

Wireshark

Nmap

Metasploit

Burp Suite

TensorFlow

Solidity

Python

PyTorch