Artificial Intelligence (AI) Quality Management Training
About This Course
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.
What You'll Learn
2. Identify Risks and Challenges in AI Development and Deployment
3. Evaluate AI Systems Using Quality Metrics and Assessment Tools
4. Integrate Risk Management into AI Workflows
5. Communicate AI Quality Considerations to Stakeholders
Entry Requirements
1. Basic Understanding of Artificial Intelligence Concepts
2. Familiarity with Software or System Development Processes
3. Awareness of Risk or Compliance Practices, optional but preferred
4. 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.