The LICQual Level 1 Certificate in AI Risk Management and Incident Response is designed for professionals who are eager to build foundational skills in managing and responding to risks in AI systems. With the rapid integration of AI technologies across industries, understanding how to identify, assess, and respond to AI-related risks is essential.
This course provides a comprehensive introduction to AI risk management, enabling learners to develop the essential knowledge and practical skills required to handle potential incidents and mitigate risks in AI systems. Whether you are new to the field or looking to enhance your expertise, the LICQual Level 1 Certificate offers an essential stepping stone to building a career in AI governance, risk management, or incident response.
The LICQual Level 1 Certificate in AI Risk Management and Incident Response is a structured, 6-unit qualification designed to equip learners with the core competencies needed to manage AI risks effectively. Over the course, participants will explore the basics of AI risk identification, incident response protocols, and risk mitigation strategies. The program covers key topics such as understanding AI-specific risks, creating response plans for AI incidents, and ensuring compliance with industry standards.
Upon completion of the course, learners will be able to confidently assess and manage risks within AI systems, respond to incidents with appropriate frameworks, and understand the legal and ethical implications of AI technologies.
This certificate is perfect for those working in technology, cybersecurity, or compliance roles, or anyone looking to gain a solid foundation in AI risk management and incident response. With the growing demand for AI professionals, the LICQual Level 1 Certificate in AI Risk Management and Incident Response will significantly enhance your career prospects in this rapidly evolving field.
Course Overview
Qualification Title
LICQual Level 1 Certificate in AI Risk Management and Incident Response
Total Units
6
Total Credits
12
GLH
36
Qualification #
LICQ2200307
Qualification Specification
To enrol in the LICQual Level 1 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. No prior experience in AI or risk management is required, but a basic understanding of technology or related fields can be beneficial for grasping the course concepts.
- Experience: There are no specific professional experience requirements for this entry-level course. It is suitable for individuals who are new to the field of AI risk management and incident response. However, experience in any tech-related role will be helpful for contextualizing the course content.
- English Language Proficiency: Participants must have a basic level of English proficiency, sufficient to understand the course materials, engage in discussions, and complete assessments. A general understanding of written and spoken English is needed for effective participation.t be at least 18 years of age at the time of enrolment.
- Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200307-1 |
Fundamentals of AI Risks |
2 |
6 |
|
LICQ2200307-2 |
Principles of Incident Response |
2 |
6 |
|
LICQ2200307-3 |
AI Risk Identification and Categorization |
2 |
6 |
|
LICQ2200307-4 |
Risk Assessment for AI Technologies |
2 |
6 |
|
LICQ2200307-5 |
Creating and Implementing an AI Risk Management Plan |
2 |
6 |
|
LICQ2200307-6 |
Basic AI Incident Handling and Reporting |
2 |
6 |
By the end of this course, learners will be able to:
Fundamentals of AI Risks:
- Understand the basic concepts of AI technologies and their associated risks.
- Identify common types of risks related to AI, including ethical, operational, and technical risks.
- Recognize the importance of managing risks to ensure the effective deployment of AI systems.
Principles of Incident Response:
- Explain the core principles and stages of an incident response process.
- Understand the role of incident response in minimizing damage and maintaining business continuity.
- Apply incident response concepts to AI systems to ensure timely and efficient handling of potential threats.
AI Risk Identification and Categorization:
- Identify various risks within AI systems, including security, data integrity, and compliance risks.
- Categorize AI risks based on their impact and likelihood to prioritize mitigation efforts.
- Develop an understanding of how different risks affect AI system performance and organizational operations.
Risk Assessment for AI Technologies:
- Apply risk assessment techniques to evaluate the risks associated with AI technologies.
- Understand the steps of conducting a risk assessment, from risk identification to mitigation.
- Evaluate the likelihood and potential impact of identified risks on AI systems and organizational goals.
Creating and Implementing an AI Risk Management Plan:
- Develop a basic AI risk management plan to address identified risks.
- Implement strategies for mitigating risks and reducing the potential impact of incidents.
- Integrate risk management practices into the operational processes of AI systems.
Basic AI Incident Handling and Reporting:
- Develop the skills to handle AI-related incidents promptly and effectively.
- Understand the key elements of incident reporting and documentation for AI systems.
- Communicate incident outcomes and risk management strategies to relevant stakeholders.
This diploma is ideal for:
- Individuals looking to start a career in AI risk management or incident response with no prior experience in the field.
- Professionals in technology, IT, or cybersecurity who want to expand their skill set to include AI-specific risk management strategies.
- Business leaders or managers responsible for overseeing AI projects and ensuring effective risk management in their organization.
- Students or recent graduates with a background in technology or business who want to specialize in AI risk management and incident response.
- Employees working in sectors that use AI technologies, such as healthcare, finance, or manufacturing, who need to understand the basics of AI risk management.
- Anyone interested in gaining foundational knowledge and practical skills in managing and responding to AI-related risks and incidents.
- Those seeking a recognized qualification in AI risk management to enhance their career prospects in a rapidly growing field.
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.