The LICQual Level 2 Certificate in AI Risk Management and Incident Response is designed for professionals who want to enhance their expertise in identifying, managing, and responding to risks in AI systems. As AI continues to evolve and become more integrated into various industries, the need for skilled professionals who can navigate the complexities of AI risks is growing.
This course offers a deep dive into advanced risk management techniques tailored specifically for AI technologies. Whether you’re looking to build on your existing knowledge or advance your career in the AI field, the LICQual Level 2 Certificate provides the essential skills needed to tackle AI-related risks with confidence.
The LICQual Level 2 Certificate in AI Risk Management and Incident Response offers a comprehensive learning experience designed to equip you with the knowledge and skills to effectively manage AI risks and respond to incidents. Throughout the course, you’ll explore advanced topics such as risk assessment frameworks, incident response strategies, and creating AI-specific risk management plans. You’ll also learn how to ensure compliance with international standards and ethical guidelines, helping you navigate legal complexities associated with AI technologies.
By the end of the course, you’ll be equipped with practical tools and methodologies to identify AI risks, create and implement risk management plans, and develop incident response protocols tailored for AI systems.
This certification is ideal for professionals in cybersecurity, compliance, or AI governance roles looking to expand their skill set and stay ahead in a rapidly changing landscape. With the LICQual Level 2 Certificate, you’ll gain valuable insights into AI risk management that can elevate your career and help safeguard your organization from potential AI-related threats.
Course Overview
Qualification Title
LICQual Level 2 Certificate in AI Risk Management and Incident Response
Total Units
6
Total Credits
18
GLH
72
Qualification #
LICQ2200308
Qualification Specification
To enrol in the LICQual Level 2 Certificate in AI Risk Management and Incident Response, candidates must meet the following entry requirements:
- Educational Requirements: Applicants should have a minimum of a high school diploma or equivalent. A basic understanding of technology or AI concepts is recommended but not mandatory. Having prior knowledge of risk management, cybersecurity, or IT-related fields will be beneficial.
- Experience: While no specific professional experience is required, individuals with a background in technology, cybersecurity, AI, or risk management will find the course more accessible. This course is ideal for individuals who have a foundational understanding of AI or related fields and wish to deepen their knowledge.
- English Language Proficiency: Participants should have a basic level of English proficiency, sufficient to understand course materials, engage in discussions, and complete assessments. A general understanding of written and spoken English is necessary for effective participation.
- Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200308-1 |
Advanced Techniques in AI Risk Management |
3 |
12 |
|
LICQ2200308-2 |
Incident Response Frameworks for AI |
3 |
12 |
|
LICQ2200308-3 |
Legal, Ethical, and Regulatory Considerations |
3 |
12 |
|
LICQ2200308-4 |
Risk Mitigation in AI Technologies |
3 |
12 |
|
LICQ2200308-5 |
Crisis Management and Recovery for AI Systems |
3 |
12 |
|
LICQ2200308-6 |
Communication & Documentation for AI Incident Response |
3 |
12 |
By the end of this course, learners will be able to:
Advanced Techniques in AI Risk Management:
- Apply advanced techniques for identifying, assessing, and mitigating risks associated with AI systems.
- Utilize industry-leading tools and frameworks to manage AI risks in complex, real-world environments.
- Tailor risk management strategies to different AI applications and technological contexts.
Incident Response Frameworks for AI:
- Design and implement comprehensive incident response frameworks specific to AI systems.
- Develop effective processes for detecting, responding to, and recovering from AI-related incidents.
- Evaluate and improve the efficiency of incident response protocols to minimize disruption to AI systems.
Legal, Ethical, and Regulatory Considerations:
- Understand and assess the legal and ethical implications of AI risk management and incident response.
- Apply relevant regulatory guidelines and industry standards to ensure compliance in AI systems.
- Navigate the legal complexities surrounding AI, including privacy laws, data protection, and intellectual property rights.
Risk Mitigation in AI Technologies:
- Identify and implement risk mitigation strategies to reduce vulnerabilities in AI technologies.
- Develop a proactive approach to risk mitigation, focusing on the long-term security and sustainability of AI systems.
- Analyze the effectiveness of risk mitigation strategies and adjust them based on emerging risks and evolving technologies.
Crisis Management and Recovery for AI Systems:
- Develop crisis management strategies tailored to AI-related incidents and system failures.
- Implement recovery plans to restore AI systems and services following a major incident.
- Evaluate crisis management techniques and ensure minimal operational impact during AI system disruptions.
Communication & Documentation for AI Incident Response:
- Establish clear communication channels for reporting and responding to AI-related incidents.
- Create comprehensive incident response documentation, including detailed reports, action plans, and post-incident reviews.
- Effectively communicate with stakeholders about AI risks, incidents, and recovery efforts to ensure transparency and informed decision-making.
This diploma is ideal for:
- Professionals working in cybersecurity, risk management, or IT who want to specialize in AI-related risks and incident response.
- AI developers, engineers, and data scientists looking to enhance their knowledge of managing risks in AI systems.
- Managers, business leaders, and decision-makers overseeing AI projects, who need to ensure risk mitigation and incident response strategies.
- Compliance officers, legal advisors, and professionals involved in AI governance, data protection, and regulatory compliance.
- Professionals responsible for creating or maintaining incident response plans for AI technologies.
- Consultants and advisors in technology, security, or risk management who want to expand their expertise in AI risk management.
- Individuals with a background in AI, technology, or business looking to gain advanced skills in AI risk management and incident response.
- Those working in industries like finance, healthcare, manufacturing, or any sector increasingly implementing AI technologies and requiring specialized risk management knowledge.
Assessment and Verification
All units within this qualification are subject to internal assessment by the approved centre and external verification by LICQual. The qualification follows a criterion-referenced assessment approach, ensuring that learners meet all specified learning outcomes.
To achieve a ‘Pass’ in any unit, learners must provide valid, sufficient, and authentic evidence demonstrating their attainment of all learning outcomes and compliance with the prescribed assessment criteria. The Assessor is responsible for evaluating the evidence and determining whether the learner has successfully met the required standards.
Assessors must maintain a clear and comprehensive audit trail, documenting the basis for their assessment decisions to ensure transparency, consistency, and compliance with quality assurance requirements.