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Overview
This course equips professionals with the knowledge and tools to identify, assess, and mitigate AI-related risks within modern organisations. It explores the principles of AI governance, compliance, and ethics through globally recognised frameworks such as the NIST AI Risk Management Framework and the EU AI Act. Learners will gain hands-on experience applying these frameworks to real-world scenarios involving bias, security vulnerabilities, and transparency challenges. By the end of the course, participants will understand how to embed AI risk management within organisational strategy to ensure responsible, compliant, and ethical AI adoption.
Prerequisites
Participants should have:
- A foundational understanding of artificial intelligence concepts and data governance principles
- Basic knowledge of organisational risk management or information security practices
- Familiarity with compliance and governance structures within a business environment
Target audience
This course is designed for:
- Risk, compliance, and governance professionals managing AI-related initiatives
- IT and security specialists responsible for evaluating AI systems and controls
- Data scientists, AI developers, and engineers integrating responsible AI practices
- Consultants advising on AI risk management and mitigation strategies
- Legal, ethical, and compliance advisors specialising in AI regulations
- Business leaders and decision-makers responsible for strategic AI adoption
Learning Objectives
By the end of this course, learners will be able to:
- Explain the key concepts and principles of AI risk management and governance
- Apply frameworks such as the NIST AI Risk Management Framework and the EU AI Act to evaluate compliance and ethical considerations
- Identify and assess AI risks, including bias, data security, transparency, and accountability concerns
- Develop and implement AI risk mitigation and incident response strategies
- Integrate AI risk management into wider business and compliance frameworks
- Analyse real-world case studies to identify lessons learned and best practices for AI risk control
- Promote responsible AI use across the organisation through governance and continual improvement
Course Outline
Introduction to AI risk management
- Understanding AI’s opportunities and challenges in modern organisations
- Key terms, definitions, and risk management concepts
- Overview of global AI risk management standards and regulations
AI risk identification, assessment, and measurement
- Techniques for identifying and classifying AI-related risks
- Quantitative and qualitative methods for risk assessment
- Assessing AI model reliability, data integrity, and ethical exposure
AI risk mitigation, governance, and incident response
- Designing mitigation strategies aligned with compliance frameworks
- Developing governance structures for ethical AI deployment
- Planning incident response and escalation procedures for AI failures or bias events
AI risk monitoring and continual improvement
- Establishing metrics and KPIs for AI risk performance
- Continuous evaluation of AI systems through audits and impact assessments
- Integrating lessons learned into organisational governance frameworks
AI risk management in business strategy
- Linking AI risk management with strategic planning and enterprise risk frameworks
- Ensuring accountability and ethical oversight in AI operations
- Building a culture of responsible and transparent AI innovation
Exams and assessments
Participants will complete a formal certification exam administered by PECB. Certification fees and the exam voucher are included in the course price. Candidates who do not pass on the first attempt may retake the exam once for free within 12 months of the initial attempt. Knowledge checks, exercises, and quizzes are provided throughout the course to reinforce learning and readiness for the certification exam.
Hands-on learning
This course includes:
- Practical exercises based on real-world AI risk scenarios
- Interactive group discussions and case-based simulations
- Workshops on developing and applying AI risk management frameworks
- Guidance from experienced instructors and access to over 450 pages of supporting materials
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Frequently asked questions
How can I create an account on myQA.com?
There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.
If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".
If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.
Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
How do QA’s virtual classroom courses work?
Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.
We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.
How do QA’s online courses work?
QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
When will I receive my joining instructions?
Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.
When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.
Let's talk
A member of the team will contact you within 4 working hours after submitting the form.