Effective AI Strategies and Ethics for Business Leaders

About this course

The course introduces the distinction between artificial intelligence and automation, then examines machine learning, deep learning, natural language processing, robotics, neural networks and computer vision. Interactive tasks, accessible analogies, real-world examples and industry case studies are used to explain how these technologies process data, support decision-making and affect business operations. It also considers bias, privacy, job impacts, accountability and responsible use, alongside market trends, regulation and future developments. Participants explore how to identify opportunities, address implementation challenges and develop an AI adoption roadmap for an organisation or professional context. Teaching takes place in the classroom and online, with no work set outside class.

What you'll learn

• Explain key concepts in artificial intelligence and automation, including the distinction between them.
• Describe how machine learning, deep learning, natural language processing, neural networks and computer vision are used in business.
• Identify ethical and societal issues including bias, privacy, job displacement and accountability.
• Assess potential AI applications and identify opportunities for adoption in an organisation.
• Develop an AI adoption roadmap and consider ways to measure its success.
• Recognise emerging AI trends, regulatory developments and their implications for business and society.

Is this course right for you?

The course is intended for learners at beginner to intermediate level, including business leaders and others considering AI adoption in an organisation or professional field. It combines explanations with interactive tasks, examples and case studies, and is delivered either in a classroom or online. No work is set outside class.

Before you go

• Participants should bring a notepad and pen.