AI+ Security Level 1

Explore core concepts in AI-driven protection, vulnerability management, and intelligent threat response. Covers cybersecurity fundamentals, OS and networking, threats and exploits, AI/ML applications, Python programming, and incident response.

Course Curriculum

Module 1: Introduction to Cybersecurity

Definition and Scope of Cybersecurity
Key Cybersecurity Concepts
CIA Triad
Cybersecurity Frameworks (NIST, ISO/IEC27001)
Cyber Security Laws and Regulations (GDPR, HIPAA)

Module 2: Operating System Fundamentals

Core OS Functions
User Accounts and Privileges
Access Control Mechanisms
OS Security Features
Hardening OS Security
Virtualization and Containerization Security

Module 3: Networking Fundamentals

Network Topologies and Protocols (TCP/IP, OSI)
Network Devices
Network Security Devices (Firewalls, IDS/IPS)
Network Segmentation
Wireless Network SecurityVPN Technologies

Module 4: Threats, Vulnerabilities, and Exploits

Types of Threat Actors
Threat Hunting using AI
AI Tools for Threat Hunting
OSINT Techniques
Zero-Day Attacks
Vulnerability Scanning with AI

Module 5: Understanding of AI and ML

Introduction to AI
Types and Applications of AI
Building Resilient Security Infrastructure with AI
Application of Machine Learning in Cybersecurity
Threat Intelligence and Threat Hunting

Module 6: Python Programming Fundamentals

Introduction to Python
Python Libraries
Python for Cybersecurity Applications
AI Scripting for Automation
Data Analysis with Python
Developing Security Tools

Module 7: Applications of AI in Cybersecurity

Machine Learning in Cybersecurity
Anomaly Detection to Behavior Analysis
Email Threat Detection
Phishing Detection with AI
Malware Threat Detection
User Authentication with AI
Penetration Testing with AI

Module 8: Incident Response and Disaster Recovery

Incident Response Process
Incident Response Lifecycle
Preparing an Incident Response Plan
Digital Forensics
Disaster Recovery Planning
Legal Considerations

Module 9: Open Source Security Tools

Introduction to Open-Source Security Tools
Popular Open Source Tools
SIEM Tools
Packet Filtering Firewalls
Password Hashing Tools
Open-Source Forensics Tools

Module 10: Securing the Future

Emerging Cyber Threats
AI and ML in Cybersecurity
Blockchain for Security
IoT Security
Cloud Security
Quantum Computing Impact

Module 11: Capstone Project

Use Cases: AI in Cybersecurity
Outcome Presentation

What You'll Learn

Prerequisites

Exam Details

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

Exam Blueprint

Introduction to Cybersecurity

10%

Operating System Fundamentals

Networking Fundamentals

Threats, Vulnerabilities, and Exploits

Understanding of AI and ML

Python Programming Fundamentals

Applications of AI in Cybersecurity

Incident Response and Disaster Recovery

Open Source Security Tools

Securing the Future

Capstone Project

Who Should Take This Course

I developers

Security analysts

IT professionals

Cybersecurity specialists

Starting From

£400

Choose Your Format

E-Learning

£400

Instructor-Led

£3160

E-Learning Includes:

Instructor-Led Includes:

40 hours of Instructor-Led Training (ILT)
Live trainer-guided sessions (in-person or virtual)
Interactive discussion & real-time Q&A
Hands-on practice & practical exercises
Immediate feedback from expert instructors
Team building & collaborative learning
Official certification upon completion

View Training Schedule →

Exam voucher included