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AI in Pharmaceutical Manufacturing & Quality Control
"AI in Pharmaceutical Manufacturing & Quality Control" trains participants to deploy AI for production optimization, real-time defect detection, and predictive maintenance. The course covers how AI improves efficiency while maintaining stringent quality standards. Cybersecurity topics address safeguarding manufacturing control systems and quality data against cyber intrusions. Professionals will leave ready to integrate secure, AI-enhanced solutions into manufacturing operations.
Provider Information
Tonex, Inc.
6275 W. Plano Parkway, Suite 500
Plano, TX 75093
Course Overview
None
Learning Objectives
- Understand AI applications for optimizing pharmaceutical manufacturing processes.
- Implement AI for predictive maintenance, process control, and real-time quality assurance in drug production.
- Analyze manufacturing data to improve efficiency, reduce waste, and enhance product consistency using AI.
- Learn how securing AI systems in manufacturing prevents cyberattacks that could disrupt drug production, compromise drug quality, or lead to critical supply chain vulnerabilities.
- Discuss regulatory compliance and validation requirements for AI in pharma manufacturing operations.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.