Menu
Menu
CODE: NMA03
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course explores how data analytics, artificial intelligence and digital technologies are transforming quality management in modern organizations. Participants will gain a comprehensive understanding of how to leverage advanced data tools, predictive models and AI-driven insights to enhance process efficiency, product quality and decision-making accuracy. The course bridges traditional quality management principles with emerging technologies, equipping participants with the knowledge and skills to design, implement and optimize smart, adaptive and data informed quality systems.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Apply data analytics and AI techniques to monitor and improve quality processes.
Design and implement digital quality management systems aligned with organizational goals.
Use predictive and prescriptive analytics to identify and mitigate quality risks.
Integrate AI tools to enhance root cause analysis, defect detection, and process optimization.
Develop strategies for transitioning from reactive to proactive quality management.
Employ real-time data to ensure compliance and drive continuous quality improvement.
At the end of this course, you’ll understand:
This course is designed for quality managers, process improvement specialists, data analysts, engineers, production supervisors and business leaders seeking to integrate data science and AI technologies into their quality management frameworks. It is also valuable for professionals involved in digital transformation, continuous improvement or operational excellence initiatives.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
