AI Quality Foundation (Level 1)
Managing the quality of AI enables your organisation to scale AI, comply with regulations and demonstrate the responsible use of AI. Without AI quality management, you expose yourself to significant financial, legal or reputational risks. This training course is part of TÜV SÜD’s AI Quality Certification Program (AIQCP) which defines what AI quality is, how to manage it, and certifies your AI quality management in practice.
AIQCP is a 3-level certified personnel training program. The training addresses the assessment and assurance of the quality of AI systems and AI products across all industries. You learn to analyse and implement AI quality management systems, whether you are supplier, provider, uses or maintainer of AI. Based on current and upcoming standards, regulations and best practices from Industry and Academia, this certified program ensures that internationally accepted methodologies are applied to reach a high quality, trustworthy AI. All necessary aspects of AI quality comprising safety, security, legal, ethics, performance and sustainability are covered. AIQCP is the key to unlock the right competencies for AI quality management.
This programme is aimed at professionals who want to understand, control and manage quality of AI and are involved in projects at any stage of the AI life cycle, from conception to decommissioning:
- Quality and compliance managers
- AI and SW engineers, architects
- Scientists and data analysts
- 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
The complete programme is divided into 3 different proficiencies: foundation, practitioner, and expert, and for each level, an examination is passed.
The AI Quality Foundation (Level 1) training course equips the participant with the basic knowledge of:
- why AI quality matters
- how AI quality can be defined
- how AI quality can be defined
Participants also gain a general overview of current and upcoming standards and regulations, stakeholder roles, responsibilities and liabilities along the AI life cycle as well as participating actively within an AI quality implementation project.
Our experts, actively involved in AI standardization and regulation, will guide you through this course. You will receive compiled course materials and templates, which serve as a starting point and reference for your AI quality management. After completing the modules and successfully passing the examination, you will receive a certificate. This is proof that you meet the prerequisites and have the skills to take over responsibility in AI and Data quality management in your organization.
Instructor-led training in a virtual classroom. This means the course is Live Online. Participants will learn through online teaching. Lectures, case studies, group exercises, discussions, problem solving, examples with explanation, assignments and/or quizzes happen in the virtual classroom training. Participants need to connect to the class from any internet accessible location. Each module is delivered live using webinar technology, creating a virtual classroom learning environment. Live sessions provide you with direct access to the trainer so you can ask questions, understand concepts and share ideas with peers. Webcam and microphone are REQUIRED to interact with the instructor and/or other participants.
Participants will learn through role plays, case studies, group exercises, scenarios and discussions and will receive a certificate of completion at the end of the AI Quality course.
- None but AI exposure recommended.