AI-Powered Cyber Security Program

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Level Intermediate 273 students Duration 120 hours 60 Lessons Language English

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Overview

Learn how the world’s leading security teams protect systems, stop attacks, and safeguard millions of users — using a mix of traditional security practices and cutting-edge AI-driven defense.

This 12-week, beginner-friendly AI-Powered Cyber Security Programme teaches you the fundamentals of security, ethical hacking, and network defense, while integrating AI tools used in real Security Operations Centers (SOCs) — so you can detect threats faster, analyze incidents smarter, and respond with professional accuracy.

No prior cyber security experience required.

All you need is curiosity and the willingness to protect digital systems — we’ll teach you the tools, the techniques, and the AI-Enhanced Cyber Defense Mindset.

Why This Course?

Most courses only teach tools.
We teach you how cyber defenders think, analyze, and respond in real-world environments.

At GenAIversity, you’ll learn how top cybersecurity teams use:

SIEM Tools (Splunk, ELK, QRadar) for threat monitoring
EDR/XDR for endpoint defense
Kali Linux + Metasploit for ethical hacking
AI-based Analyzers for threat detection, log parsing & pattern recognition
Cloud Security Tools (AWS, Azure) for protecting modern infrastructure

You’ll finish the program with a portfolio of real-world cybersecurity projects — including penetration tests, SOC analysis reports, incident response simulations, and cloud security hardening tasks.

Future-Proof Your Job with GenAiVersity

Curriculum Breakdown

Module 1: Introduction to Cybersecurity & Networks

Definition of cybersecurity
Importance of securing networks
Relationship between networking and security
CIA Triad (Confidentiality, Integrity, Availability)

Module 2: Basics of Computer Networks

Types of Networks: LAN, WAN, MAN, PAN
Network Topologies: Bus, Star, Mesh, Hybrid
Network Devices: Router, Switch, Firewall, IDS/IPS, Load balancer
OSI Model (7 Layers) and how security applies at each layer
TCP/IP Model (Application, Transport, Internet, Network Access)

Module 3: Common Network Protocols

Application Layer: HTTP/HTTPS, DNS, SMTP, FTP, SSH
Transport Layer: TCP, UDP
Network Layer: IP, ICMP, ARP
Security Protocols: SSL/TLS, IPSec, VPN, Kerberos

Module 4: Cybersecurity Threat Landscape

Malware: Viruses, Worms, Trojans, Ransomware, Spyware
Network Attacks: DoS/DDoS, MITM, Sniffing, ARP Spoofing, DNS Poisoning
Application Attacks: SQL Injection, XSS, CSRF
Insider Threats & Social Engineering: Phishing, Vishing, Smishing

Module 5: Network Security Mechanisms

Firewalls: Packet Filtering, Stateful, Next-Gen
IDS/IPS
NAC (Network Access Control)
VPN & Tunneling
Zero Trust Network Access (ZTNA)
Endpoint Security (EDR/XDR)
SIEM & SOC Operations

Module 6: Cryptography & Secure Communication

Symmetric Encryption: AES, DES
Asymmetric Encryption: RSA, ECC
Hashing: SHA, MD5, bcrypt
Digital Certificates & PKI
SSL/TLS Handshake
Email Security: SPF, DKIM, DMARC

Module 7: Secure Network Design & Architecture

Defense in Depth
Network Segmentation & VLANs
DMZ (Demilitarized Zone)
Secure Wi-Fi (WPA3, Radius)
Cloud Network Security: AWS, Azure, GCP
Hybrid & Multi-cloud Security

Module 8: Security Monitoring & Incident Response

Log Collection & Monitoring
Threat Intelligence
Incident Response Lifecycle
- Preparation
- Detection
- Containment
- Eradication
- Recovery
- Lessons Learned
Forensics in Network Security

Module 9: Compliance & Standards

ISO 27001
NIST Cybersecurity Framework
GDPR
HIPAA
PCI-DSS
CIS Controls

Module 10: Future Trends in Cybersecurity & Networks

AI/ML in Security
SASE (Secure Access Service Edge)
Quantum-safe Cryptography
IoT Security
5G Network Slicing Security
OT & ICS Security

Module 11: Cyber Security Best Practices

Multi-factor Authentication
Patch Management
Least Privilege
Network Monitoring & Anomaly Detection
Security Awareness Training

Module 12: Network Addressing & Subnetting

IPv4 vs IPv6
Subnetting & CIDR
Private vs Public IPs
NAT & PAT
Security importance of subnetting

Module 13: Network Services & Security

DNS Security: DNSSEC, DoH, DoT
DHCP Security
Email Security Protocols
Directory Services (LDAP, Active Directory)
NTP (Time Sync) & its importance in logs

Module 14: Advanced Network Protocols

BGP & BGP Hijacking
MPLS & VPN Security
802.1X Authentication
SDN & its security risks

Module 15: Wireless & Mobile Network Security

Wi-Fi Standards (WEP, WPA2, WPA3)
Rogue APs & Evil Twin Attacks
Bluetooth Attacks
5G Security Challenges

Module 16: Virtualization & Cloud Networking

VLANs
VPNs: Site-to-Site & Remote Access
Cloud Networking: VPCs (AWS), VNets (Azure), Subnets
Container Security (Docker, Kubernetes)

Module 17: Network Security Tools

Packet Analysis: Wireshark, tcpdump
Vulnerability Scanners: Nessus, OpenVAS
Pen-Testing Tools: Metasploit, Nmap, Burp Suite
Network Monitoring: Nagios, Zabbix, SolarWinds
SIEM: Splunk, QRadar, ELK

Module 18: Advanced Threats & Countermeasures

APTs
Zero-Day Exploits
Botnets & C2 Communication
Rogue Devices & BYOD
Insider Threat Detection

Module 19: Network Segmentation & Microsegmentation

VLAN-based segmentation
Firewall policies
Microsegmentation (Cloud & SDN)
Preventing lateral movement

Module 20: Emerging Security Technologies

SASE
ZTNA
XDR
Deception Technology (Honeypots, Honeytokens)
Quantum Networking & Post-Quantum Security

Module 21: Cyber Attacks – Classification

Active Attacks
Passive Attacks
Insider Attacks
External Attacks

Module 22: Network Attacks

DoS/DDoS
MITM
Packet Sniffing
ARP Poisoning
DNS Poisoning
IP Spoofing
Session Hijacking

Module 23: Application Layer Attacks

SQL Injection
XSS
CSRF
Command Injection
LFI/RFI
API Exploits

Module 24: Malware-Based Attacks

Viruses & Worms
Trojans
Ransomware
Spyware & Adware
Rootkits
Botnets

Module 25: Social Engineering Attacks

Phishing
Spear Phishing
Whaling
Smishing
Vishing
Pretexting & Baiting

Module 26: Advanced & Emerging Attacks

Zero-Day Exploits
APTs
Supply Chain Attacks
IoT Attacks
Cloud Attacks
Quantum Attacks (Future Risk)

Duration & Effort

Duration: 12 Weeks (120 Hours Total)

Format: Live Sessions + Guided Cyber Labs + Real Attack Simulations

Level: Intermediate to Advanced

Cohort Size: 50 Students

Certificate: Certified GenAIversity Hackathon

Assessment Methods

Weekly security lab assignments (AI-assisted + manual)
Peer-reviewed penetration testing reports
AI-driven threat detection & analysis evaluations
Capstone project evaluation by industry mentors

Our Student Success Stories

Course Features

Duration 120 hours
Activities IT
Class Sizes 25
Available Seats 25

FAQs

Is this program suitable for someone already working in IT?

Yes. This program is designed for IT professionals who want to transition into cybersecurity or advance their current security skills.

Will this help me move into roles like SOC Analyst, Cyber Security Analyst, or Cloud Security?

Absolutely. The curriculum prepares you for real-world roles such as SOC Analyst (L1/L2), Cyber Security Analyst, Vulnerability Analyst, and Cloud Security Associate.

Do I need to start from basics again?

No. We assume you already have some IT experience. We focus on practical, advanced, and AI-enhanced security skills—not beginner-level theory.

What tools will I get hands-on experience with?

ou will work with enterprise tools like Splunk, ELK, QRadar, Kali Linux, Metasploit, Burp Suite, Nmap, AWS/Azure Security Services, and AI-driven threat analysis tools.

How flexible is the program for working professionals?

Very flexible. Sessions happen evenings/weekends, all classes are recorded, and you can complete labs at your own pace. Perfect for full-time employees.

Does this program offer career transition support for experienced candidates?

Yes — including resume upgrades, LinkedIn optimization, mock interviews, career mapping, and direct opportunities through hiring partners.