Diploma in Cybersecurity & AI-Driven Threat Detection

Diploma in Cybersecurity & AI-Driven Threat Detection

Every day, governments, banks, hospitals, manufacturers, cloud providers, retailers, educational institutions, and businesses around the world face thousands of cyberattacks. These attacks are becoming more sophisticated, more automated, and increasingly powered by Artificial Intelligence. Traditional cybersecurity methods are no longer enough.

Today’s organizations need cybersecurity professionals who can leverage Artificial Intelligence, machine learning, threat intelligence, cloud security, and security automation to detect, analyze, and respond to cyber threats faster than ever before. The Diploma in Cybersecurity & AI-Driven Threat Detection has been developed to prepare graduates for this new era of cybersecurity. Rather than focusing solely on traditional network security, this comprehensive 915-hour diploma integrates cybersecurity fundamentals with Artificial Intelligence, threat intelligence, malware analysis, cloud security, digital forensics, AI-powered Security Information and Event Management (SIEM), ethical hacking, and modern Security     Operations Centre (SOC) practices. 

Students begin by developing strong foundations in cybersecurity, networking, operating systems, and security principles before progressing to ethical hacking, Python for cybersecurity, Artificial Intelligence, threat hunting, cloud security, incident response, malware analysis, digital forensics, AI governance, and modern cloud-native security. Throughout the program, students gain practical experience using real-world security scenarios, AI-assisted threat detection techniques, modern cybersecurity tools, and hands-on capstone projects that simulate enterprise security environments. As governments and organizations continue investing heavily in cybersecurity, Artificial Intelligence, cloud computing, and critical infrastructure protection, the demand for highly skilled cybersecurity professionals continues to grow across Canada and around the world.

 Graduates will be well prepared for careers in Security Operations Centres (SOC), threat intelligence, cloud security, cybersecurity consulting, incident response, digital forensics, security engineering, and AI-assisted cyber defence. This diploma is designed not only to prepare students for today’s cybersecurity careers but also to provide the knowledge, practical skills, and adaptability needed to succeed as cybersecurity technologies continue to evolve.

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Apply Now (INTERNATIONAL STUDENT)

What to expect:

Mode of Delivery

Instructor-led classroom training, Online, Hybrid

Duration

47 weeks / 915 Hours

Tuition

Local $16,287/ Intl $18,787CAD

Certification

Diploma

Intake

Semester

Apply Now (LOCAL STUDENT)
Apply Now (INTERNATIONAL STUDENT)

Admission Requirements

 

  • High school diploma or equivalent (OSSD or internationally recognized qualification) or
  • Be at least 18 years of age and be a mature student and pass a Superintendent-approved qualifying test (Wonderlic) and
  •  English proficiency equivalent to IELTS 6.0 or higher (if applicable)

Program Curriculum

 

  • Foundations of Cybersecurity, Networking, and AI Basics

  • Cybersecurity Fundamentals & Threat Landscape

  • Network Security & Ethical Hacking

  • Python for Cybersecurity & ML Basics

  • Artificial Intelligence in Cybersecurity

  • Threat Intelligence & Threat Hunting with AI

  • SIEM Tools & AI-Driven Detection

  • Malware Analysis & AI-powered Detection

  • Incident Response & Digital Forensics

  • Cloud & IoT Threat Detection

  • Cybersecurity Compliance, Ethics & AI Governance

  • Security in Cloud-Native, Containerized & Serverless Environments

  • Capstone Project – AI-Driven Threat Detection Simulation

Key Learning Outcomes

Upon successful completion of the Diploma in Cybersecurity & AI-Driven
Threat Detection, graduates will be able to:

  • Introduction to PC Hardware and OS to CompTIAA
  • Apply cybersecurity principles to protect enterprise systems, networks, and cloud environments.
  • Identify, analyze, and respond to modern cyber threats using industry best practices.
  • Use Artificial Intelligence and Machine Learning to enhance threat detection and cybersecurity operations.
  • Perform ethical hacking, vulnerability assessments, and threat hunting activities.
  • Investigate security incidents using digital forensics and incident response methodologies.
  • Deploy and manage SIEM solutions for security monitoring and AI-assisted threat analysis.
  • Secure cloud, containerized, serverless, and IoT environments.
  • Apply Python and automation techniques to improve cybersecurity operations.
  • Implement cybersecurity governance, compliance, risk management, and responsible AI practices.
  • Interpret threat intelligence to strengthen organizational security.
  • Communicate cybersecurity findings effectively to technical and non-technical stakeholders.
  • Demonstrate professionalism, teamwork, leadership, and ethical decision making.
  • Prepare for industry-recognized cybersecurity certifications.
  • Complete a real-world capstone project integrating cybersecurity, AI, cloud security, and automation.
  • Build the practical skills required for successful careers in modern AI-enabled cybersecurity environments.

Program Outcomes

Upon successful completion of the Diploma in Cybersecurity & AI-Driven Threat Detection, graduates will be able to:

  • Protect enterprise systems, networks, cloud platforms, and digital assets against evolving cyber threats.
  •  Detect, investigate, and respond to cybersecurity incidents using modern security operations practices.
  • Apply Artificial Intelligence, Machine Learning, and threat intelligence techniques to enhance cyber defence and decision-making.
  • Perform vulnerability assessments, ethical hacking activities, and security testing to identify and mitigate risks.
  • Implement cloud security, identity management, and secure infrastructure practices across modern computing environments.
  • Use Python scripting and automation tools to improve cybersecurity operations and incident response.
  •  Analyze malware, security logs, and digital evidence to support threat detection and forensic investigations.
  • Deploy and manage Security Information and Event Management (SIEM) solutions for continuous security monitoring.
  • Apply cybersecurity governance, compliance, risk management, and responsible AI principles in organizational environments.
  • Collaborate effectively within Security Operations Centres (SOC) and multidisciplinary IT teams.
  •  Communicate cybersecurity risks, findings, and recommendations clearly to technical and non-technical stakeholders.
  • Demonstrate professionalism, ethical decision-making, leadership, and continuous learning in rapidly evolving cybersecurity environments.
  • Prepare for industry-recognized cybersecurity certifications and career advancement opportunities.
  • Successfully complete a capstone project demonstrating practical integration of cybersecurity, Artificial Intelligence, cloud security, automation, and modern threat detection techniques.
  • Build a strong foundation for long-term careers in cybersecurity, cloud security, AI-enabled threat detection, and enterprise security operations.

Certification Positioning

Depending on experience and career goals, graduates may consider certifications such as:

Cybersecurity

  • CompTIA Security+ 
  • EC-Council Certified Threat Intelligence Analyst (CTIA) 
  • Certified Information Systems Security Professional (CISSP)* 

Cloud Security

  • Certified Cloud Security Professional (CCSP)* 
  • AWS Certified Security – Specialty* 
  • Microsoft Certified: Azure Security Engineer Associate* 
  • Google Professional Cloud Security Engineer* 

Security Operations & Threat Detection

  • Splunk Core Certified Power User 
  • Microsoft Security Operations Analyst Associate (SC-200)* 
  • Microsoft Security, Compliance, and Identity Fundamentals (SC-900) 

Artificial Intelligence

  • Microsoft Azure AI Fundamentals (AI-900) 
  • Google Professional Machine Learning Engineer* 
  • IBM AI Engineering Professional Certificate 
  • IBM Cybersecurity Analyst Professional Certificate 

Networking & Infrastructure

  • Cisco Certified Network Associate (CCNA)* 
  • CompTIA Network+* 

*Some certifications may require additional industry experience, prerequisites, or independent examination beyond the scope of this diploma.

Job Market Potential Median Income by Roles (Approximate Ontario Salary Ranges)

Cybersecurity Analyst ($70,000–$95,000): Typical for professionals responsible for monitoring security events, identifying vulnerabilities, analyzing threats, and protecting organizational systems.

Security Operations Centre (SOC) Analyst ($65,000–$90,000): Entry to intermediate professionals responsible for monitoring security alerts, investigating incidents, and supporting continuous security operations.

Threat Intelligence Analyst ($80,000–$110,000): Professionals who collect, analyze,and interpret cyber threat intelligence to proactively defend enterprise environments.

Cloud Security Analyst ($80,000–$115,000): Specialists responsible for securing cloud infrastructure, identity management, cloud workloads, and compliance across AWS, Microsoft Azure, and Google Cloud Platform.

AI-Driven Threat Detection Specialist ($85,000–$120,000): Professionals who leverage Artificial Intelligence and Machine Learning technologies to identify anomalies, detect cyber threats, automate investigations, and improve security operations.

Incident Response & Digital Forensics Analyst ($80,000–$120,000): Specialists responsible for investigating security incidents, collecting digital evidence, malwareanalysis, and organizational recovery.

Cybersecurity Consultant ($95,000–$140,000+): Experienced professionals providingcybersecurity assessments, risk management, compliance consulting, cloud security,and AI-enabled security solutions for organizations. 

Possible Job Titles:

Linux Cybersecurity Specialist/ Information Systems Specialists, Computer Network and Web Technicians, Business Systems Specialists (security and risks), User Support Technicians (Security Support Roles)

These roles align with NOC 2021 codes: 21220, 22220,  21221, 22221

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Job Outlook (2021-2025) Cybersecurity

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