AI Security and Risk Management Training in Vancouver

AI Security and Risk Management Training in Vancouver, Canada

This training provides professionals with foundational and practical knowledge of AI security, risk, and compliance.

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AI Security and Risk Management Training is a professional training program delivered by ProgNXT in Vancouver, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this AI Security and Risk Management Training course with hands-on, instructor-led sessions. This training provides professionals with foundational and practical knowledge of AI security, risk, and compliance. Participants...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: KEO19
14 Hrs
Last Updated: April 2026

Course Rating5/5

This training provides professionals with foundational and practical knowledge of AI security, risk, and compliance. Participants will learn how to identify, assess, and manage security risks in AI systems. The course covers threats related to data, models, and deployment, along with governance frameworks and best practices to ensure safe and ethical use of AI.

Welcome to the official AI Security and Risk Management Training certification program in Vancouver, Canada. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of AI/ML systems
Familiarity with cybersecurity fundamentals is helpful
No advanced coding or security certification required

By the end of this course, participants will be able to identify AI-specific risks, secure AI models and data pipelines, and apply frameworks for governance and responsible AI deployment.

Identify key security risks in AI systems
Understand attack types like adversarial inputs and model leakage
Apply frameworks for AI risk management and compliance
Implement best practices for data protection and model governance
Evaluate AI systems for fairness, explainability, and robustness

AI threat landscape: data, model, and deployment risks
Adversarial attacks and defenses
Secure model deployment and monitoring
AI ethics, transparency, and compliance frameworks
Governance and organizational AI risk controls

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Understanding AI Risks and Threats

Introduction to AI Security and Risk

What makes AI systems vulnerable?
Overview of AI lifecycle and threat surfaces
Real-world AI failure and attack examples

Data Security in AI Systems

Data poisoning and training data risks
Ensuring data privacy and integrity
Secure data pipelines and labeling practices

Model Risks and Vulnerabilities

Adversarial attacks: examples and mechanisms
Model inversion and membership inference attacks
Defense techniques: robustness, noise filtering, adversarial training

Securing AI and Managing Risk

Secure AI Deployment and Monitoring

Secure APIs and model access controls
Model drift and continuous validation
Logging, alerting, and rollback plans

AI Governance and Compliance

Overview of AI regulations: EU AI Act, NIST AI RMF
AI governance frameworks and documentation
Model audits, bias detection, and explainability

Organizational Risk Management Practices

Creating an AI risk management policy
Roles and responsibilities for AI safety
Risk registers and regular review cycles

Hands-On Exercise – Risk Assessment Walkthrough

Analyze a sample AI use case (e.g., hiring, fraud detection)
Identify risks, threats, and mitigations
Build a mini risk register and review

Wrap-Up and Recommendations

Summary of tools and frameworks
Roadmap for secure and responsible AI adoption
Final Q&A and feedback

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on:
Daily quizzes, mock questions and query resolution. Participation in hands-on exercises and labs. Performance in the final review and hands-on exercises will be evaluated.
ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

AI Security and Risk Management Training Events in vancouver

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

20th Oct 2026→21st Oct 2026

📍 Vancouver, Canada

24th Oct 2026→25th Oct 2026

November 2026

🌐 Online Instructor-Led

1st Nov 2026→2nd Nov 2026

📍 Vancouver, Canada

5th Nov 2026→6th Nov 2026

🌐 Online Instructor-Led

21st Nov 2026→22nd Nov 2026

📍 Vancouver, Canada

25th Nov 2026→26th Nov 2026

December 2026

📍 Vancouver, Canada

2nd Dec 2026→3rd Dec 2026

🌐 Online Instructor-Led

10th Dec 2026→11th Dec 2026

📍 Vancouver, Canada

26th Dec 2026→27th Dec 2026

🌐 Online Instructor-Led

26th Dec 2026→27th Dec 2026

Events for other courses in Vancouver, Canada

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AI Security and Risk Management Training in Vancouver