The LICQual Level 1 Certificate in AI Risk Management and Incident Response is a foundational course designed for professionals who are eager to learn how to manage risks and respond effectively to incidents involving Artificial Intelligence (AI) systems. As AI technologies continue to advance, businesses and organizations are increasingly relying on AI for critical operations, making it essential to have a clear understanding of the potential risks involved.
This course equips you with the essential knowledge to identify AI-related risks, mitigate them, and respond to incidents when they arise. Whether you’re new to the field or looking to expand your skill set in AI, this qualification is your gateway to understanding the core concepts of AI risk management and incident response.
The LICQual Level 1 Certificate in AI Risk Management and Incident Response provides a solid introduction to the key principles of AI risk management. Throughout the course, you will explore the fundamentals of identifying AI-related risks, such as data privacy issues, security threats, and ethical concerns that can arise in AI-driven systems. The course also covers the essentials of incident response, focusing on how to prepare for, manage, and recover from AI-related incidents like system failures or security breaches.
You will gain practical insights into how to assess AI risks and develop basic strategies to mitigate them, ensuring AI systems function securely and ethically. This qualification also introduces you to key tools and techniques for responding to AI incidents effectively, allowing you to minimize disruption and ensure business continuity.
By completing this certificate, you will be equipped with the foundational skills needed to navigate the growing field of AI risk management and contribute to a safer and more secure AI-driven future. Whether you’re working in AI, cybersecurity, or risk management, this course is a great first step towards mastering the essentials of AI risk management and incident response.
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.
