Overview
This course provides a comprehensive overview of quality management principles in the development and deployment of artificial intelligence (AI) systems. Participants will gain critical insights into the risks, challenges, and regulatory requirements surrounding AI technologies, especially in high-stakes applications such as healthcare, finance, and autonomous systems.
Course details
Course date: Currently unavailable.
Duration: 2 days, 9.00 AM – 5.00 PM
Who should attend
- Executives and decision-makers
- Artificial Intelligence (AI)/Machine Learning (ML) engineers and data scientists
- Quality assurance (QA) and test engineers
- AI project managers and product owners
- Regulatory affairs and governance professionals
Minimum entry requirements
- Basic understanding of AI concepts
- Familiarity with software or system development processes
- Awareness of risk or compliance practices, optional but preferred
- Professional experience (ideally, 2+ years) in a relevant field, e.g., Artificial Intelligence (AI)/Machine Learning engineering or data science, quality assurance or software testing, project or product management.