Professional Academy Diploma in Cybersecurity Course

Foundations of Cybersecurity

• Basics of Cybersecurity: Key concepts and strategies.
• Cyber Risks: Understand evolving threats.
• Data Protection: Importance of securing information.

Principles of Cryptography and Data Encryption

• Encryption Methods: Basics of data encryption.
• Popular Algorithms: AES, RSA, and more.
• Data Security: Ensure integrity and confidentiality.

Identity and Access Control (IAM)

• Access Management: Control data access.
• Authentication: Verify and authorise users.
• Multi-Factor Authentication: Add security layers.

Fundamentals of Network Security

• Network Protection: Prevent unauthorised access.
• Firewalls and VPNs: Essential network security tools.
• Monitoring: Detect and prevent threats.

Understanding Cyber Threats and Attack Methods

• Common Threats: Malware, phishing, ransomware.
• Attack Methods: Tactics used by hackers.
• Mitigation: Reduce attack impact.

Security Tools and Protective Controls

• Anti-Malware Tools: Detect and remove malware.
• Intrusion Detection: Monitor suspicious activities.
• SIEM Systems: Aggregate security data.

Risk Management, Continuity Planning, and Disaster Recovery

• Risk Assessment: Identify cybersecurity risks.
• Business Continuity: Plan for disruptions.
• Disaster Recovery: Restore data and systems.

Basics of Ethical Hacking

• Pen Testing: Simulate attacks to find weaknesses.
• Reconnaissance: Gather data ethically.
• Exploitation: Test system security.

Incident Handling and Forensic Investigation

• Incident Response: Manage security breaches.
• Forensics: Collect and analyse evidence.
• Post-Incident Review: Improve future responses.

Open-Source Intelligence (OSINT) and Social Engineering

• OSINT: Use public data for insights.
• Social Engineering: Recognise manipulation tactics.
• User Education: Prevent human-based attacks.

Cybersecurity Governance and Policy Development

• Policy Creation: Develop security guidelines.
• Compliance: Follow industry standards.
• Frameworks: Apply NIST, ISO, etc.

AI and Emerging Trends in Cybersecurity

• AI in Threat Detection: Faster threat identification.
• Anomaly Detection: Use ML for unusual activity.
• Trends: Stay current with new tech.