0230-ai-quality-in-medical-device-training
AI Quality for Medical Devices
Face-to-face Training2 DaysIntermediate
- Learn to streamline MDR compliance for AI-enabled medical devices while addressing the unique challenges posed by AI systems.
- Equip yourself with practical knowledge of regulatory frameworks, including MDR, the EU AI Act, and standards like ISO 14971 and EN 62304.
- Gain expertise in AI-specific methodologies, such as data quality management, algorithm validation, and risk mitigation strategies.
- Master post-market surveillance practices to ensure ongoing compliance and system reliability.
- Prepare for audits and conformity assessments with TÜV SÜD and other notified bodies.
What will you learn?
- As businesses and organizations increasingly integrate AI technologies into their operations, the importance of maintaining high-quality AI systems has become a critical focus across corporate, legal, and technological domains. With evolving global standards and regulations like the EU AI Act and Data Act, professionals equipped with the knowledge to ensure AI quality and compliance are in growing demand.
- Our 3-day program is meticulously designed to provide participants with a concise yet comprehensive understanding of AI quality principles and their practical applications. The curriculum delves into key aspects such as AI governance, risk assessment, data quality, and the application of international standards and frameworks to establish robust AI quality management systems.
Course outline
- Motivation and requirements
- Introduction to AI and the need for AI quality
- Current and upcoming standards and regulation of AI
- Roles, responsibilities and liabilities
- AI quality
- Terms and definitions
- Key pillars of AI quality
- The AI quality life cycle
- AI quality management
- AI quality framework
- Methodology and key elements to establish an AI quality management system
- AI governance requirements
- AI quality management in a case study
- IEEE AI ethics
- Applying AI framework
- Plan an AI quality management system
- Control of AI quality parameters
- Testing and assessing AI
Who Should Attend?
- AI Quality Management: Gain a thorough understanding of AI quality management, including principles of safety, security, legal compliance, ethics, and performance, essential for developing reliable and effective AI systems.
- AI Governance & Risk Assessment: Learn how to implement AI governance frameworks and conduct comprehensive risk assessments, ensuring the responsible deployment of AI technologies while minimizing financial, legal, and reputational risks.
- Standards & Regulations: Deepen your knowledge of key AI standards and regulations, including ISO, EN, and the EU AI Act, and learn how to apply them to maintain AI system quality throughout their lifecycle.
- Data Quality & Lifecycle: Understand the critical role of data quality in AI systems, and explore strategies for managing the data lifecycle to ensure compliance with industry standards and regulations
Pre-requisites
- Basic knowledge of AI and software development.
Learning & Career benefits
- Gain comprehensive AI quality understanding and hands-on skills.
- Certification and risk management for AI systems.
- Network with top AI professionals for invaluable insights.
- Scale AI implementations while ensuring compliance.
Examination & Certification
- Final Examination: Conducted online with multiple-choice questions.
- Passing Criteria: 70%
- Certification: Participants who successfully pass the examination will receive a Course Completion Certificate.
FAQ
1. When can I get the certificate?
The certification will be issued within 14 working days after completing the training.
2. When will I receive the training material and invite?
One day before the commencement of the training program.
3. How do I pay the fees for training and examination?
Through online payment modes.
4. What are the benefits of this course?
- Acquire a comprehensive understanding of AI quality principles.
- Gain certification and learn risk management strategies for AI systems.
- Engage with top AI professionals for unique insights.
- Scale AI implementations with compliance readiness.
5. Is there a refund policy for fees?
Please refer to Cancellation and Refund policy page.