Cybersecurity Course Syllabus With Free PDF (2024 Batch)

Find the complete cyber security course syllabus and curriculum for the 2024-2025 academic session in India. I have covered branches such as B.Tech, M.Tech, BCA, and more.

Cyber Security course syllabus and curriculum 2024

Here’s a cyber security course syllabus at a glance:

Sl.No	Module Name	Topics Covered	Cybersecurity projects to Practice
1	Advanced Network Security	Network architecture, protocols, segmentation, vulnerabilities, firewalls, IDS/IPS, security policies, incident response	– Configure a firewall to block specific traffic patterns using pfSense or Cisco ASA.- Conduct a network vulnerability scan using Nessus or OpenVAS.
2	Cryptography and Access Control	Cryptosystems, symmetric/asymmetric cryptography, key management, access control models, IAM	– Implement a Public Key Infrastructure (PKI) using OpenSSL or Microsoft Certificate Services.- Configure a VPN using OpenVPN or Cisco AnyConnect.
3	Web Application Security	HTTP/HTTPS protocols, web vulnerabilities (SQL injection, XSS), secure coding practices, WAFs	– Conduct a web application vulnerability scan using OWASP ZAP or Burp Suite.- Develop a secure web application using OWASP ESAPI or Spring Security.
4	Cloud Security	Cloud deployment/service models, security risks, compliance frameworks, incident response	– Configure a cloud security group using AWS Security Groups or Azure Network Security Groups.- Perform a cloud security assessment using AWS IAM Access Analyzer.
5	Endpoint Security	Endpoint security architecture, threats (malware, ransomware), endpoint security solutions	– Configure a host-based intrusion detection system (HIDS) using OSSEC or Samhain.- Develop a custom endpoint security policy using Group Policy.
6	Incident Response and Digital Forensics	Incident response methodologies, planning, digital forensics fundamentals	– Build an incident response plan using NIST 800-61.- Practice incident response techniques using CISA’s Cybersecurity Exercises.
7	Security Operations and Log Management	SOC design, log collection/analysis, SIEM systems	– Implement a SIEM system using Splunk or ELK Stack.- Configure log collection using Logstash or Graylog.
8	Identity and Access Management	IAM fundamentals, access control models, IAM in the cloud	– Implement an IAM solution using Okta or Azure Active Directory.- Configure a single sign-on (SSO) solution using OneLogin.
9	Mobile Device Security	Mobile device security overview, threats, security solutions	– Implement a mobile device management (MDM) solution using Microsoft Intune.- Develop a custom mobile device security policy using Apple Configurator.
10	Security Frameworks and Compliance	Security frameworks (NIST, ISO 27001), compliance requirements	– Implement a security framework like NIST Cybersecurity Framework.- Conduct a compliance assessment using HIPAA Security Rule.
11	Defensible Network Architecture	Network architecture design, security risks, controls, monitoring	– Design a defensible network architecture diagram.- Implement network security controls using virtual machines.
12	Protocols and Packet Analysis	Network protocols, packet analysis (tcpdump, Wireshark), security risks, best practices	– Capture live network traffic using Wireshark.- Utilize tcpdump to analyze captured packets.
13	Cybersecurity Governance and Risk Management	Risk assessment methodologies, threat modeling, compliance requirements	– Conduct a risk assessment for a hypothetical organization.- Create a mock implementation plan for a cybersecurity governance framework.
14	Cybersecurity Analytics and Intelligence	Cybersecurity analytics fundamentals, threat intelligence lifecycle, data analysis techniques	– Collect and analyze threat intelligence data.- Simulate a threat hunting scenario using network logs.
15	Cybersecurity Incident Response and Disaster Recovery	Incident response planning, disaster recovery in the cloud	– Draft an incident response plan for a ransomware attack.- Conduct a tabletop exercise to simulate a cybersecurity incident.

Module 1: Advanced Network Security

Network architecture and design

Network topology and protocols
Network segmentation and isolation
Network virtualization and SDN

Network protocols and vulnerabilities

TCP/IP protocol suite
DNS and DHCP security
IPv6 security considerations
Network protocol vulnerabilities (e.g. DNS amplification attacks)

Firewalls and intrusion detection systems

Firewall types (packet filtering, stateful inspection, application-layer)
Firewall configuration and management
IDS/IPS systems and signatures
Next-generation firewalls (NGFWs)

Network security policies and procedures

Network security policy development and implementation
Network access control (NAC) and authentication
Network segmentation and isolation policies
Incident response and disaster recovery planning

Secure communication protocols

SSL/TLS protocol and certificate management
IPsec protocol and implementation
Secure Shell (SSH) and Secure File Transfer Protocol (SFTP)
Email security protocols (e.g. PGP, S/MIME)

⭐ Hands-on projects to practice:

Configure a firewall to block specific traffic patterns using a tool like pfSense or Cisco ASA.
Implement a Network Access Control (NAC) system using a tool like Cisco ISE or ForeScout.
Conduct a network vulnerability scan using a tool like Nessus or OpenVAS.

Module 2: Cryptography and Access Control

Cryptosystem fundamentals

Symmetric and asymmetric cryptography
Hash functions and digital signatures
Cryptographic algorithms (e.g. AES, RSA, ECC)
Key management and exchange

Cryptography algorithms and deployment

Block ciphers and modes of operation
Public-key cryptography and certificate authorities
Digital certificates and public key infrastructure (PKI)
Cryptographic protocols (e.g. SSL/TLS, IPsec)

Digital signatures and certificates

Digital signature schemes (e.g. RSA, ECDSA)
Certificate authorities and trust models
Certificate revocation lists (CRLs) and online certificate status protocol (OCSP)
Code signing and digital rights management

Access control models

Mandatory access control (MAC)
Discretionary access control (DAC)
Role-based access control (RBAC)
Attribute-based access control (ABAC)

Identity and access management

Identity management systems (e.g. LDAP, Active Directory)
Authentication protocols (e.g. Kerberos, NTLM)
Authorization and access control mechanisms
Identity and access management in the cloud

⭐ Hands-on projects to practice:

Implement a Public Key Infrastructure (PKI) using a tool like OpenSSL or Microsoft Certificate Services.
Configure a VPN using a tool like OpenVPN or Cisco AnyConnect.
Implement role-based access control (RBAC) using a tool like Active Directory or LDAP.

Module 3: Web Application Security

Web communication fundamentals

HTTP and HTTPS protocols (SSL/TLS encryption, certificate management, handshake, validation, and security best practices)
HTML, CSS, and JavaScript security considerations
Web application architecture and design

Web application vulnerabilities

OWASP web application security risks
SQL injection and cross-site scripting (XSS)
Cross-site request forgery (CSRF) and clickjacking
Input validation and sanitization

Secure coding practices

Secure coding guidelines and best practices
Input validation and error handling
Secure coding for web applications (e.g. OWASP ESAPI)
Code reviews and secure coding assessments

Web application firewalls and security information and event management

Web application firewall (WAF) configuration and management
Security information and event management (SIEM) systems
Log analysis and incident response
Web application security monitoring and analytics

Secure web development frameworks and libraries

Secure web development frameworks (e.g. Ruby on Rails, Django)
Secure web development libraries (e.g. OWASP ESAPI)
Web application security testing and validation

⭐ Hands-on projects to practice:

Conduct a web application vulnerability scan using a tool like OWASP ZAP or Burp Suite.
Implement a web application firewall (WAF) using a tool like ModSecurity or AWS WAF.
Develop a secure web application using a framework like OWASP ESAPI or Spring Security.

Module 4: Cloud Security

Cloud computing fundamentals:

Cloud deployment models (public, private, hybrid)
Cloud service models (IaaS, PaaS, SaaS)
Cloud security architecture and design

Cloud security risks and threats:

Data breaches and unauthorized access
Malware and ransomware in the cloud
Denial of service (DoS) and distributed denial of service (DDoS) attacks
Cloud security risks and threats (e.g. AWS, Azure, Google Cloud)

Cloud security controls and compliance:

Cloud security controls and compliance frameworks (e.g. CSA, NIST)
Cloud security auditing and assessment
Cloud security governance and risk management
Cloud security standards and regulations (e.g. PCI-DSS, HIPAA)

Cloud security monitoring and incident response:

Cloud security monitoring and logging
Cloud incident response and disaster recovery planning
Cloud security analytics and threat intelligence
Cloud security incident response and remediation

⭐ Hands-on projects to practice:

Configure a cloud security group using a tool like AWS Security Groups or Azure Network Security Groups.
Implement a cloud access security broker (CASB) using a tool like Netskope or Skyhigh Networks.
Perform a cloud security assessment using a tool like AWS IAM Access Analyzer or Azure Security Center.

Module 5: Endpoint Security

Endpoint security overview

Definition and importance of endpoint security
Types of endpoints (laptops, desktops, mobile devices, servers)
Endpoint security architecture and components

Endpoint security threats

Malware (viruses, Trojans, spyware, adware)
Ransomware (types, attack vectors, and mitigation strategies)
Phishing (types, tactics, and defense mechanisms)
Advanced Persistent Threats (APTs) and targeted attacks
Zero-day exploits and unknown threats

Endpoint security solutions

Antivirus software (signature-based, behavioral, and cloud-based)
Anti-malware tools (detection, removal, and prevention)
Endpoint Detection and Response (EDR) solutions
Host-based Intrusion Detection Systems (HIDS)
Endpoint security suites and integrated solutions

⭐ Hands-on projects to practice:

Configure a host-based intrusion detection system (HIDS) using a tool like OSSEC or Samhain.
Develop a custom endpoint security policy using a tool like Group Policy or PowerShell.

Module 6: Incident Response and Digital Forensics

Incident response methodologies (NIST, SANS)
Incident response planning and preparation
Digital forensics fundamentals (data acquisition, analysis, reporting)
Incident response and digital forensics tools (EnCase, FTK, X-Ways)
Incident response and digital forensics in the cloud

⭐ Hands-on projects to practice:

Build an incident response plan using a framework like NIST 800-61 or SANS Incident Response.
Practice incident response techniques using a tool like Cybersecurity and Infrastructure Security Agency (CISA)’s Cybersecurity Exercises.

Module 7: Security Operations and Log Management

Security operations center (SOC) design and implementation
Log collection, filtering, and analysis
Security information and event management (SIEM) systems
Log management and analysis tools (Splunk, ELK Stack)
Security operations and log management in the cloud

⭐ Hands-on projects to practice:

Implement a security information and event management (SIEM) system using a tool like Splunk or ELK Stack.
Configure log collection and analysis using a tool like Logstash or Graylog.
Develop a security operations center (SOC) use case using a tool like Phantom or Demisto.

Module 8: Identity and Access Management

Identity and access management (IAM) fundamentals
Identity management systems (LDAP, Active Directory)
Access control models (MAC, DAC, RBAC)
Identity and access management in the cloud (AWS IAM, Azure AD)
Identity and access management best practices and compliance

⭐ Hands-on projects to practice:

Implement an identity and access management (IAM) solution using a tool like Okta or Azure Active Directory.
Configure a single sign-on (SSO) solution using a tool like OneLogin or Ping Identity.

Module 9: Mobile Device Security

Mobile device security overview (Android, iOS)
Security threats (malware, unauthorized access) for mobile devices
Security solutions (MDM, MAM)
Mobile device security monitoring and incident response

⭐ Hands-on projects to practice:

Implement a mobile device management (MDM) solution using a tool like Microsoft Intune or VMware Workspace ONE.
Configure a mobile application management (MAM) solution using a tool like AppDynamics or Citrix Endpoint Management.
Develop a custom mobile device security policy using a tool like Apple Configurator or Android Enterprise.

Module 10: Security Frameworks and Compliance

Security frameworks (NIST, ISO 27001, COBIT)
Compliance and regulatory requirements (HIPAA, PCI-DSS, GDPR)
Security frameworks and compliance in the cloud
Security frameworks and compliance best practices
Security frameworks and compliance auditing and assessment

⭐ Hands-on projects to practice:

Implement a security framework like NIST Cybersecurity Framework or ISO 27001.
Conduct a compliance assessment using a tool like HIPAA Security Rule or PCI DSS.
Develop a custom security policy using a tool like PolicyStat or ComplianceForge.

Module 11: Defensible Network Architecture

Defensible network architecture design and implementation
Network security architecture and design
Network security risks and threats (data breaches, unauthorized access)
Network security controls and compliance
Network security monitoring and incident response

⭐ Hands-on projects to practice:

Design a Defensible Network Architecture: Create a comprehensive network architecture diagram for a hypothetical organization. Include segmentation, firewalls, intrusion detection systems (IDS), and access controls, while applying principles of least privilege and zero trust.
Implement Network Security Controls: Set up a small-scale network using virtual machines to simulate a defensible architecture. Implement security controls such as firewalls, VPNs, and IDS/IPS. Test the effectiveness of these controls against simulated attacks to evaluate their performance.
Network Monitoring and Incident Response Simulation: Use tools like Wireshark or Snort to monitor network traffic in your simulated environment. Create incident response playbooks for various scenarios (e.g., detecting a data breach) and practice executing these plans based on real-time alerts and logs.

Module 12: Protocols and Packet Analysis

Network protocols and vulnerabilities
Packet analysis fundamentals (tcpdump, Wireshark)
Protocol analysis and troubleshooting
Network protocol security risks and threats
Network protocol security best practices and compliance

⭐ Hands-on projects to practice:

Network Traffic Analysis with Wireshark: Capture live network traffic using Wireshark, apply filters to isolate specific protocols (like HTTP or DNS), and analyze the data to identify anomalies or vulnerabilities.
Packet Capture and Analysis: Utilize tcpdump to capture packets from a specific interface, then analyze the captured data using Wireshark to understand the packet flow and identify potential security risks.
Protocol Troubleshooting Simulation: Create a simulated network environment where you intentionally misconfigure protocols (e.g., incorrect DHCP settings) and use packet analysis tools to troubleshoot and resolve the issues.

Module 13: Cybersecurity Governance and Risk Management

Risk Assessment Methodologies: NIST 800-30, FAIR, OCTAVE, and other risk assessment methodologies, including their strengths, weaknesses, and applications.
Threat Modeling: Identifying and analyzing potential threats to an organization’s assets, including threat actors, attack vectors, and vulnerability exploitation.
Vulnerability Management: Identifying, classifying, prioritizing, and remediating vulnerabilities in systems, applications, and networks, including vulnerability scanning and penetration testing.
Compliance and Regulatory Requirements: In-depth analysis of specific regulations and standards, such as HIPAA, PCI DSS, GDPR, and NIST 800-171, including their requirements, controls, and audit procedures.
Cybersecurity Frameworks: In-depth analysis of specific cybersecurity frameworks, such as NIST Cybersecurity Framework, COBIT, and ISO 27001, including their components, implementation, and integration.
Risk Analysis and Evaluation: Quantitative and qualitative risk analysis techniques, including risk matrices, heat maps, and Monte Carlo simulations, to evaluate and prioritize risks.

⭐ Hands-on projects to practice:

Risk Assessment Project: Conduct a risk assessment for a hypothetical organization by identifying assets, threats, and vulnerabilities, and then develop a risk management plan that includes mitigation strategies.
Governance Framework Implementation: Choose a cybersecurity governance framework (like NIST or ISO 27001) and create a mock implementation plan, detailing policies, roles, and responsibilities for compliance.
Cloud Security Assessment: Evaluate the security posture of a cloud service provider by reviewing their compliance with governance standards and best practices, and propose enhancements based on identified gaps.

Module 14: Cybersecurity Analytics and Intelligence

Cybersecurity Analytics and Intelligence Fundamentals:

Definition and importance of cybersecurity analytics and intelligence
Cloud-based analytics and intelligence architectures
Data collection, processing, and analysis techniques
Machine learning and artificial intelligence in cybersecurity analytics
Threat hunting and proactive defense strategies

Cybersecurity Threat Intelligence and Analysis:

Types of threat intelligence (strategic, tactical, operational, technical)
Threat intelligence lifecycle (collection, analysis, dissemination, feedback)
Threat actor analysis (motivations, tactics, techniques, and procedures)
Indicators of Compromise (IOCs) and threat indicator management
Threat intelligence feeds and platforms such as LevelBlue, Federal, Bureau of Investigation, Anomali, VirusTotal, Malware hashes, etc.

⭐ Hands-on projects to practice:

Threat Intelligence Analysis: Collect threat intelligence data from various sources (like VirusTotal or Anomali) and analyze it to identify trends, threat actors, and potential indicators of compromise (IOCs).
Machine Learning Application: Develop a simple machine learning model to classify network traffic as benign or malicious based on labeled datasets, and evaluate its effectiveness in detecting anomalies.
Threat Hunting Exercise: Simulate a threat hunting scenario where you proactively search for hidden threats within a dataset of network logs, using techniques learned in previous modules.

Module 15: Cybersecurity Incident Response and Disaster Recovery

Cybersecurity incident response methodologies (NIST, SANS)
Cybersecurity incident response planning and preparation
Incident response and disaster recovery in the cloud

⭐ Hands-on projects to practice:

Incident Response Plan Development: Draft an incident response plan for a specific type of cybersecurity incident (e.g., ransomware attack), detailing steps for detection, containment, eradication, and recovery.
Disaster Recovery Simulation: Create a disaster recovery scenario where you simulate a data breach and execute the recovery plan, testing the effectiveness of backup systems and recovery procedures.
Tabletop Exercise: Conduct a tabletop exercise with a team to simulate a cybersecurity incident, discussing roles and actions to be taken, and evaluate the response effectiveness based on predefined metrics.

B.SC cybersecurity syllabus

Semester	Name	Topics
I	Fundamentals of Cyber Security	Introduction to Cyber Security, Cybercrime, Network Security, Operating System Security, and Cryptography
II	Programming for Cyber Security	Introduction to Programming-I, Web Designing-I, algorithms, overview of C language, operators, decision making, branching statements, and looping statements
III	Cyber Security Threats and Vulnerabilities	Cyber Security Threats, Vulnerabilities, Risk Management, and Compliance
IV	Cyber Security Architecture and Design	Cyber Security Architecture, Design Principles, Secure Coding Practices, and Secure Communication Protocols
V	Cyber Security Operations and Management	Cyber Security Operations, Incident Response, Disaster Recovery, and Cyber Security Governance
VI	Cyber Security Project and Internship	Cyber Security Project, Internship, and Research Methodologies

M.Tech cybersecurity syllabus

Here is the M.Tech Cybersecurity syllabus semester-wise.

Semester 1:

Course Code	Course Title	Topics
CS501	Advanced Computer Networks	Network fundamentals, protocols, and architectures, Network security threats and vulnerabilities, Network security protocols and technologies
CS502	Cryptography and Network Security	Introduction to cryptography, Symmetric and asymmetric encryption, Digital signatures and hash functions, Network security protocols (SSL/TLS, IPsec, etc.)
CS503	Operating System Security	Operating system security principles, Access control and authentication, File system security, Windows and Linux security
CS504	Cybersecurity Fundamentals	Introduction to cybersecurity, Cybersecurity threats and vulnerabilities, Cybersecurity frameworks and standards, Cybersecurity policies and procedures

Semester 2:

Course Code	Course Title	Topics
CS505	Penetration Testing and Vulnerability Assessment	Penetration testing methodologies, Vulnerability assessment and management, Penetration testing tools and techniques, Reporting and documentation
CS506	Incident Response and Disaster Recovery	Incident response methodologies, Disaster recovery planning and implementation, Business continuity planning, Crisis management and communication
CS507	Cybersecurity Governance and Compliance	Cybersecurity governance and risk management, Compliance and regulatory requirements, Cybersecurity policies and procedures, Auditing and compliance
CS508	Research Methodology and Academic Writing	Research methodology and techniques, Academic writing and publishing, Research ethics and plagiarism

Semester 3:

Course Code	Course Title	Topics
CS509	Advanced Cybersecurity Topics	Advanced persistent threats (APTs), Cyber-physical systems security, Internet of Things (IoT) security, Artificial intelligence and machine learning in cybersecurity
CS510	Cybersecurity Analytics and Visualization	Cybersecurity analytics and visualization, Data mining and machine learning in cybersecurity, Security information and event management (SIEM) systems, Cybersecurity dashboard and visualization
CS511	Cybersecurity Project Management	Cybersecurity project management methodologies, Project planning and execution, Risk management and quality assurance, Project monitoring and control
CS512	Elective Course (Choose one)	Cloud Security, Cybersecurity in IoT, Artificial Intelligence in Cybersecurity, Cybersecurity in Blockchain

Semester 4:

Course Code	Course Title	Topics
CS513	Project Work	Students will work on a project related to cybersecurity, Project will be evaluated based on the project report, presentation, and demonstration
CS514	Seminar	Students will present a seminar on a topic related to cybersecurity, Seminar will be evaluated based on the presentation, content, and Q&A session

B.Tech cybersecurity syllabus

Here is the B.Tech Cybersecurity syllabus semester-wise.

Semester	Course Code	Course Title	Topics
1	CS501	Advanced Computer Networks	Network fundamentals, protocols, and architectures, Network security threats and vulnerabilities, Network security protocols and technologies
	CS502	Cryptography and Network Security	Introduction to cryptography, Symmetric and asymmetric encryption, Digital signatures and hash functions, Network security protocols (SSL/TLS, IPsec, etc.)
	CS503	Operating System Security	Operating system security principles, Access control and authentication, File system security, Windows and Linux security
	CS504	Cybersecurity Fundamentals	Introduction to cybersecurity, Cybersecurity threats and vulnerabilities, Cybersecurity frameworks and standards, Cybersecurity policies and procedures
2	CS505	Penetration Testing and Vulnerability Assessment	Penetration testing methodologies, Vulnerability assessment and management, Penetration testing tools and techniques, Reporting and documentation
	CS506	Incident Response and Disaster Recovery	Incident response methodologies, Disaster recovery planning and implementation, Business continuity planning, Crisis management and communication
	CS507	Cybersecurity Governance and Compliance	Cybersecurity governance and risk management, Compliance and regulatory requirements, Cybersecurity policies and procedures, Auditing and compliance
	CS508	Research Methodology and Academic Writing	Research methodology and techniques, Academic writing and publishing, Research ethics and plagiarism
3	CS509	Advanced Cybersecurity Topics	Advanced persistent threats (APTs), Cyber-physical systems security, Internet of Things (IoT) security, Artificial intelligence and machine learning in cybersecurity
	CS510	Cybersecurity Analytics and Visualization	Cybersecurity analytics and visualization, Data mining and machine learning in cybersecurity, Security information and event management (SIEM) systems, Cybersecurity dashboard and visualization
	CS511	Cybersecurity Project Management	Cybersecurity project management methodologies, Project planning and execution, Risk management and quality assurance, Project monitoring and control
	CS512	Elective Course (Choose one)	Cloud Security, Cybersecurity in IoT, Artificial Intelligence in Cybersecurity, Cybersecurity in Blockchain
4	CS513	Project Work	Students will work on a project related to cybersecurity, Project will be evaluated based on the project report, presentation, and demonstration
4	CS514	Seminar	Students will present a seminar on a topic related to cybersecurity, Seminar will be evaluated based on the presentation, content, and Q&A session

What Are The Subjects Included In The Cybersecurity Course?

A student pursuing a degree in cybersecurity has to study multiple subjects. Almost all of these relate to computer science and laws surrounding cyber crimes.

1. Network Security

Network security mainly includes the policies and practices required to stop or detect or monitor suspicious activities, access, and misuse of computer systems. Cybersecurity is essential because it helps students know how to protect sensitive data and keep the systems stable and free from unauthorized usage.

Cryptography

Cryptography or cryptology is a subject that helps codify or encrypt data to prevent unauthorized use. It is one of the most critical subjects in cybersecurity since it helps establish an algorithm that keeps data safe and private and only allows the sender and receiver to read the message.

2. Ethical Hacking

Ethical hacking is a subject that deals with breaking into computer systems for the sake of public security and doing everything lawfully, maintaining all ethics, rules, and regulations. It is an essential subject to learn because it helps the student gain access to a potential cyber criminal and gain access to their plans, which can prevent data breaches and phishing.

3. Information Security

Information security is that branch of cybersecurity that helps protect sensitive information from unauthorized access. Cybersecurity students must learn information security to efficiently inspect, modify, record, and disrupt any information they want for public peace. Students must also know all the rules, regulations, and laws behind keeping hold of such information.

4. Computer Forensics

Computer forensics is a branch of cybersecurity that deals with finding pieces of evidence used to investigate, identify, and store valuable information from a computer system used to do criminal activities. The subject helps students discover secrets and evidence that can lead to cybercrime and give them the required punishment.

5. Computer Network

The computer network is a branch of computer science that shows how interconnected computers function using network nodes and how the network uses digital interconnections and protocols to communicate. Learning about the subject helps students know how data transmission works and what are its technical aspects. It also helps them gauge how secure the data is and how they can secure it.

6. Artificial Intelligence

Artificial intelligence, or AI, is a subject that helps machines learn things on their own using appropriate programming and machine learning concepts. AI is a highly demanded skill in the industry, and jobs related to AI development pay well. For example, cybersecurity requires AI to reduce the time taken in doing particular work and also helps scan vast amounts of data without the requirement of humans.

Related read:

Cybersecurity Course Fee

The list below shows the fee structure of different cybersecurity courses worldwide.

Top Colleges Cyber Security In India

If a student wants to learn cybersecurity in-depth, the student has to join a good college anywhere in the world. This list shows some of the best colleges in the cybersecurity discipline in India.

Top Cybersecurity Colleges In India

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