The LICQual Level 1 Diploma in AI Risk Management and Incident Response is your gateway to understanding the core principles of managing risks and responding to incidents within AI systems. With AI technologies transforming industries across the globe, it’s crucial to have professionals equipped to handle the unique challenges these innovations bring.
This diploma is designed for those looking to build a strong foundation in AI risk management, whether you’re new to the field or aiming to advance your career. The course will help you develop practical skills in identifying AI-related risks, creating response plans, and ensuring organizational resilience.
The LICQual Level 1 Diploma in AI Risk Management and Incident Response provides a comprehensive introduction to the fundamentals of AI risk management. Through six carefully designed units, you will explore the basics of AI risks, the importance of incident response, and the essential strategies for managing potential threats to AI systems.
Key topics include AI risk identification, the creation of risk management plans, and an introduction to the legal and ethical considerations of AI governance. By the end of the course, you’ll have the practical knowledge to manage risks in AI systems, respond to incidents, and build a foundation for more advanced study or professional development.
Whether you’re a newcomer to AI or a professional seeking to expand your skill set, the LICQual Level 1 Diploma will give you a solid understanding of AI risk management that can be immediately applied in real-world situations. This qualification is ideal for professionals in IT, cybersecurity, or business management roles who are keen to stay ahead in this rapidly evolving field.
Course Overview
Qualification Title
LICQual Level 1 Diploma in AI Risk Management and Incident Response
Total Units
6
Total Credits
24
GLH
60
Qualification #
LICQ2200310
Qualification Specification
To enrol in the LICQual Level 1 Diploma 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 related fields will be helpful but is not mandatory. No prior experience in AI or risk management is required, making it ideal for beginners in the field.
- Experience: No specific professional experience is required for this entry-level diploma. However, those with a background in technology, IT, or business may find the course more accessible and beneficial.
- English Language Proficiency: Participants should have a basic level of English proficiency, sufficient to understand the course materials, engage in discussions, and complete assessments. This includes a general understanding of written and spoken English to ensure effective participation throughout the course.
- Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200310-1 |
Introduction to AI Systems & Their Risks |
4 |
10 |
|
LICQ2200310-2 |
Incident Response Procedures for AI |
4 |
10 |
|
LICQ2200310-3 |
Risk Assessment Tools for AI |
4 |
10 |
|
LICQ2200310-4 |
Risk Mitigation Techniques in AI |
4 |
10 |
|
LICQ2200310-5 |
Incident Reporting and Communication for AI |
4 |
10 |
|
LICQ2200310-6 |
Creating an AI Risk Management Framework |
4 |
10 |
By the end of this course, learners will be able to:
Introduction to AI Systems & Their Risks:
- Understand the fundamentals of AI systems and their applications across various industries.
- Identify common risks associated with AI technologies, including security, ethical, and operational risks.
- Recognize the importance of managing AI-specific risks to ensure system reliability and safety.
Incident Response Procedures for AI:
- Develop knowledge of basic incident response procedures for AI systems.
- Understand the key steps in responding to AI-related incidents, from detection to resolution.
- Implement response protocols that minimize disruption and restore AI systems effectively after an incident.
Risk Assessment Tools for AI:
- Gain familiarity with tools and methodologies used to assess AI risks.
- Apply risk assessment techniques to evaluate the potential vulnerabilities and threats of AI systems.
- Prioritize AI risks based on their potential impact and likelihood, enabling targeted mitigation efforts.
Risk Mitigation Techniques in AI:
- Learn various strategies for mitigating risks associated with AI systems.
- Understand how to design risk reduction strategies specific to AI technologies, ensuring long-term system security.
- Apply these techniques to enhance the robustness and safety of AI-driven processes.
Incident Reporting and Communication for AI:
- Develop skills to effectively report AI incidents, including detailed documentation and communication strategies.
- Understand the importance of clear communication in AI incident response, both internally within teams and externally to stakeholders.
- Use appropriate reporting frameworks to ensure transparency and accountability in AI risk management.
Creating an AI Risk Management Framework:
- Learn how to build a comprehensive AI risk management framework tailored to an organization’s needs.
- Identify the key components of an effective AI risk management system, including risk identification, assessment, and response.
- Implement a risk management framework to continuously monitor and mitigate AI risks, ensuring long-term operational stability.
This diploma is ideal for:
- Individuals new to the field of AI or risk management who want to build foundational knowledge in managing AI risks and responding to incidents.
- Professionals in technology, IT, cybersecurity, or business management looking to expand their skills and specialize in AI risk management.
- AI developers, engineers, and data scientists who want to understand the risks associated with AI technologies and learn how to mitigate them.
- Managers and decision-makers overseeing AI projects who need to ensure risk management procedures are in place and operational.
- Students or recent graduates in technology, business, or related fields who are interested in pursuing a career in AI risk management.
- Compliance officers, legal advisors, or professionals working with AI governance, privacy, and data protection.
- Anyone looking to develop practical skills in AI incident response, communication, and reporting.
- Professionals seeking to enhance their career with a recognized qualification in AI risk management and incident response.
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.