AI & Security Systems – Digital Nova Scotia – Leading Digital Industry

Secure AI-Enabled Systems With Confidence

Build practical capability in securing information systems and AI-enabled environments. LevelSec’s AI & Security Systems course equips professionals with the skills to assess controls, identify system and AI risks, and strengthen operational safeguards using internationally recognized standards.

This course is designed for professionals who work directly with, support, or oversee information systems and AI-enabled technologies and need to understand how systems are secured in practice, not how to build AI models or write code.

This project was made possible in part through the support of the National Cybersecurity Consortium and the Government of Canada (CSIN). // Ce projet a été rendu possible en partie grâce au soutien du Consortium national pour la cybersécurité et du gouvernement du Canada (RIC). 

Thanks to support from the Government of Nova Scotia, this training is currently offered at no cost for 10 individuals per cohort and is open exclusively to unemployed or underemployed individuals looking to take the next step in their cybersecurity career.

Register Now | 21/40 Seats Available

Registration extended until March 13, 2026 at 12:00pm AST.

About this course

This 8-week, virtual, instructor-led course focuses on applied systems and AI security rather than governance strategy or AI development. Participants work through a realistic case study to evaluate security controls, AI risks, and operational safeguards, then develop a prioritized roadmap to strengthen system security and AI oversight.

Learning is grounded in internationally recognized standards and reflects how organizations actually secure information systems and AI-enabled technologies in operational environments.

Participants also gain access to optional LevelSec professional development opportunities, including expert panels, peer networking, and career-focused sessions to support professional growth and leadership development.

What You Will Gain

By completing this course, participants will be able to:
  • Assess information system security controls using ISO/IEC 27001:2022
  • Evaluate AI system risks, oversight mechanisms, and accountability using ISO/IEC 42001:2023
  • Identify gaps in system and AI security controls and prioritize improvement actions
  • Develop a management-ready systems and AI security roadmap
  • Strengthen organizational capability to securely operate AI-enabled systems

Course Modules and Schedule

  • Week 1 — M1: Introduction & ISMS Overview | Participants are introduced to the fundamentals of Information Security Management Systems (ISMS) and the ISO/IEC 27001 standard, including organizational context, leadership responsibilities, and risk planning.
  • Week 2: ISO 27001 – Governance & Risk Planning | This module explores governance structures, roles and responsibilities, and risk assessment methodologies used to manage security risks within an organization.
  • Week 3: ISO 27001 – Risk Treatment & Annex A Control Selection | Participants learn how organizations select and implement security controls using the Annex A framework and how risk treatment strategies are aligned with organizational priorities.
  • Week 4: ISO 27001 – ISMS Support & Operation | This week focuses on operational aspects of security management, including documentation, awareness, operational controls, and managing risk within day-to-day activities.
  • Week 5 : ISO 27001 – Performance Evaluation & Improvement | Participants explore how organizations monitor and measure the effectiveness of security programs through audits, performance evaluation, and continuous improvement practices.
  • Week 6: ISO 42001 – AI Governance Foundations | Learners are introduced to ISO/IEC 42001, the emerging international standard for AI governance, including accountability structures and AI risk management principles.
  • Week 7: ISO 42001 – Oversight, Risk & Accountability | This module focuses on the governance of AI systems across their lifecycle, including oversight, transparency, risk treatment, and audit considerations.
  • Week 8: ISMS & AIMS Reporting and Roadmap | Participants consolidate their security and AI governance assessments and develop a prioritized roadmap with recommendations to strengthen organizational security and AI oversight.

This course is designed for professionals who are involved in managing, securing, or overseeing information systems and AI-enabled technologies, including:

  • Cybersecurity and IT professionals responsible for systems and controls
  • Professionals supporting AI systems, data platforms, or automated decision tools
  • Risk and compliance practitioners working closely with technical teams
  • Public sector and regulated-industry staff overseeing secure system operations

The course is suitable for both technical and nontechnical professionals. No coding or AI model development experience is required.

This course does not require hands-on technical or coding experience. Prior exposure to IT, security, or AI concepts is helpful but not required.

This is not a certification program. Participants receive a completion credential upon submitting all required assessments and applied project work.

Through funding from the Government of Nova Scotia’s One Journey Initiative, 10 full scholarships are available for Nova Scotians to complete this course in our LevelSec program.

To be eligible for this scholarship, professionals:

  • Must reside in Nova Scotia
  • Currently unemployed or underemployed
  • Actively looking for a full-time role in IT / tech

This program is made possible through funding by Nova Scotia's Department of Labour, Skills and Immigration's One Journey Initiative.

Course Author and Instructor

Ken Muir | CISO / CSC / CISA / CRISC

Ken Muir is a globally recognized cybersecurity expert with over 30 years of experience. Ken’s thought leadership is widely recognized—he has been named a Top 100 Global Thought Leader and Top 50 Who’s Who in Cybersecurity. He is also a co-author of the Centre for Internet Security (CIS) Cybersecurity Framework V8, a globally adopted cybersecurity standard.

Ken is also a Chief Information Security Officer (CISO); Ken helps organizations build robust security strategies aligned with NIST CSF, CIS, and ISO 27001 frameworks. His extensive background spans aerospace, energy, retail, finance, manufacturing, and government sectors at provincial, state (US), and national levels.

Register Now

Registration deadline: March 13, 2026 at 12:00pm AST.

Register Now | 21/40 Seats Available

FAQs

[ click on a question to view the answer ]

Do I need prior cybersecurity experience?

No. This course is designed for both technical and nontechnical professionals who are involved in managing, securing, or overseeing information systems or AI-enabled technologies. Prior exposure to IT, security, or AI concepts is helpful, but hands-on technical or coding experience is not required.

Is this a certification program?

Yes, this is a micro-credential program

How is this different from AI development or technical training?

This course focuses on how AI-enabled systems and information assets are secured and managed in practice, using internationally recognized standards. It does not cover AI model development, coding, or specific tools. The emphasis is on system security controls, risk identification, and operational safeguards.

Is the learning applied or theoretical?

The learning is applied. Participants work through a realistic case study to assess information system and AI security controls, identify gaps, and develop a practical, prioritized improvement roadmap that reflects real-world operating environments.

What standards are used in the course?

Participants apply ISO/IEC 27001:2022 to assess information system security controls and ISO/IEC 42001:2023 to evaluate AI system risk, oversight, and accountability mechanisms.

How much time should I expect to commit each week?

Participants should plan for 1.5 hours per week in live sessions and 3–4 hours per week of asynchronous learning and applied work. Total time commitment is approximately 32 hours over 8 weeks.

Can I take this course while working full-time?

Yes. The course is fully virtual and designed for working professionals, combining structured instructor-led sessions with flexible, self-paced learning.

How is the course delivered?

The course is delivered online through weekly instructor-led sessions supported by readings, applied exercises, and progressive completion of a systems and AI security assessment and improvement roadmap.

How many seats are available?

There are 40 seats available in total:

30 seats for employed professionals across Canada. 10 seats for Nova Scotia residents who are un/underemployed, funded through the Province of Nova Scotia.