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Artificial Intelligence Quality Management

Technologies and Standards

Course Overview

Artificial Intelligence (AI) is a transformative technology that is currently remaking how businesses operate and stay competitive. Although AI is unlocking tremendous business potential, it also imposes new risks and liabilities.

This course equips learners with the essential knowledge to select matching AI technology for a given application, avoid costly pitfalls and successfully manage the entire life cycle of an AI system, hence benefitting from Artificial Intelligence technologies in mission-critical applications. Furthermore, it also provides an outlook on standards and regulations released within the next two years to help the learner prepare.

 

KEY Learning Outcome

Learners will acquire knowledge on managing AI technology to meet business objectives, identifying AI risks, and devising mitigation strategies, judging the quality of an AI system on a holistic set of quality characteristics, and communicating with stakeholders involved in the AI life cycle. Learners can apply the concepts to benefit from AI in their context with the help of templates and guidelines provided throughout the training.

  • Learning 1: AI Quality Considerations
  • Learning 2: AI Quality Characteristics
  • Learning 3: AI Governance
  • Learning 4: AI Quality Management
  • Learning 5: AI Data Quality
  • Learning 6: AI Security
  • Learning 7: AI Regulations and Standards

Class Size: Min 10 to Max 20

Course Duration: 2 Days (16 hours)

Who Should Attend: Technical managers (including CTO, COO), Quality Assurance Managers, Leading technical team

Pre-requisitesFamiliarity with basic machine learning concepts (high-level)

CostSGD 1500 per participant

Mode of Delivery: Instructor-Led Virtual Training 

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