EXIN BCS Generative Artificial Intelligence Award

OVERVIEW

Generative AI is rapidly becoming one of the most exciting and influential technologies today. It can create realistic digital art, write sophisticated text, and enhance various business processes. Generative AI represents a major shift in organizations: how they operate, interact with customers, and develop new products and services. As more organizations adopt AI solutions, understanding how generative AI works and how to use it, is essential for individuals and organizations.

The EXIN BCS Generative Artificial Intelligence Award provides a solid introduction to this advanced technology. This certification is an ideal introduction for anybody wishing to understand the basics of using generative AI, its future potential, and the associated ethical and legal concerns.

TARGET GROUP

The EXIN BCS Generative Artificial Intelligence Award certification is suitable for individuals with an interest in exploring the functions and abilities of generative AI, and the implications of its use. Roles with a particular interest may be content creators, designers, developers, project managers, product managers, copywriters, chief information officers, change practitioners, business consultants and leaders of people.

LEARNING OUTCOME

• The meaning of AI and generative AI, including its history and key principles.
• The legal, ethical, and regulatory considerations when using generative AI.
• How humans can use generative AI to support business activities.
• How to identify opportunities for generative AI and implement them.
• The impact of generative AI on the future of society and business.

DURATION : 3 Days

CERTIFICATE : EXIN BCS Generative Artificial Intelligence Award

GOVERNING BODY : EXIN

EXAMINATION DETAILS

• Consist of 20 Questions
• Duration: 30 Minutes

COURSE OUTLINE

• AI & Generative AI Fundamentals – Key concepts, evolution, and impact.
• How AI Models Work – Machine learning, deep learning & generative models.
• Applications in Business – AI-powered automation & content generation.
• Ethical & Legal Considerations – Responsible AI, regulations & biases.
• Future of AI – Trends, challenges & career opportunities.