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Artificial Intelligence: Strategy, Ethics, and Practical Implementation for Professionals

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Artificial Intelligence: Strategy, Ethics, and Practical Implementation for Professionals

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This beginner-to-intermediate one-day CPD course equips professionals with a strategic, ethical, and practical understanding of Artificial Intelligence. Participants explore real-world AI tools, governance principles, and deployment methods to improve decision-making, productivity, innovation, and safety across healthcare and other professional sectors. 

This course is designed for healthcare professionals, managers, educators, business leaders, public sector workers, and technical staff seeking to move beyond basic AI awareness into structured, ethical, and strategic implementation for professional practice, service improvement, leadership decision-making, and innovation. 

Course Code

SC-CPD-OL-AIS-001

Course Leader

Stacy Gambrell
Course Description

This one-day CPD course equips professionals with the strategic, practical, and ethical capabilities required to work confidently with Artificial Intelligence. It moves beyond awareness into applied use of real AI tools for productivity, analysis, and innovation. Participants gain critical insight into governance, safety, and accountability. The programme concludes with structured deployment and innovation planning for professional environments. 

 

By the end of this CPD programme, participants will be able to: 

  1. Develop a clear working understanding of AI foundations, key AI types, and how AI integrates into organisational strategy and workforce transformation. 

  1. Confidently apply modern AI tools for writing, reporting, data analysis, automation, and decision support within professional standards and boundaries. 

  1. Critically evaluate ethical, legal, data protection, safety, and accountability considerations when using AI in regulated and non-regulated environments. 

  1. Design practical AI implementation and innovation plans, identify high-impact use cases, evaluate return on investment, and reduce operational risk across sectors. 

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22/01/202722/01/20270
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