EXIN Artificial Intelligence® Foundation

Our Artificial Intelligence Foundation training prepares attendees for a certification exam, whose successful completion confirms that the professional understands Artificial Intelligence (AI) principles, with a specific focus on ethical and sustainable practices, and knows the benefits and risks of AI / machine learning. 

What you will learn…

  • Artificial Intelligence (AI) has recently surged in popularity, becoming part of everyday thinking, transforming industries, and reshaping the future of technology. It revolutionizes how systems learn from experience and mimic human intelligence. 

    Our Artificial Intelligence Foundation equips candidates with knowledge of key AI techniques, their use in the real world and their impact on our lives and prepares for the EXIN/BCS Artificial Intelligence Foundation certification exam. 

    This certification explores the historical journey of AI, the advantages and challenges of ethical and sustainable AI, the key enablers of AI including data, and the future interplay between AI and human roles in the workplace. 

    This certification offers a comprehensive understanding crucial for navigating the rapidly evolving AI landscape. 

    This course includes the following topics:

    • Introduction to AI and historical development 

    • Ethical and legal considerations 

    • Enablers of AI 

    • Finding and using data in AI 

    • Using AI in your organization 

    • Future planning and impact – human plus machine 

    Duration

    • 2 days, or

    • 3 days including additional recap, additional exam preparation and workshops pertaining to your real world AI practices in relation to your ITSM, P3M, Delivery and ICT Governance practices.

  • Comprehensive Understanding of AI Fundamentals

    • Core Concepts: Participants gain a solid understanding of AI terminology, intelligent agents, and machine learning principles.

    • Beyond Basics:  exploring how AI works and its practical applications.

    • Data & Technology Focus: The course covers the role of data, data quality, and the hardware/software necessary for AI functionality. 

    Strategic and Practical Application

    • Organisational Impact: It helps professionals identify, plan, and execute AI opportunities within their own organizations.

    • Project Management: It provides insights into applying agile methodologies and "learning from experience" approaches to AI initiatives.

    • Human-Machine Collaboration: The certification emphasizes how AI (specifically Machine Learning) drives collaboration between humans and machines in the workplace. 

    Ethical and Responsible AI Governance

    • Ethical Considerations:  bias, privacy, and the environmental sustainability of AI.

    • Regulatory Alignment:  navigate the legal landscape of AI, helping ensure compliance with emerging standards and frameworks.

    • Risk Management: Candidates learn to identify and mitigate risks associated with AI implementations. 

    Career Advancement and Recognition

    • Global Recognition: This joint EXIN/BCS certification is recognized internationally, enhancing a resume and proving expertise.

    • Career Versatility: suitable for diverse roles, including project managers, developers, consultants, and business leaders.

    • Increased Earning Potential: Certified professionals often command higher salaries due to their validated skills in this high-demand field.

    • Lifetime Validity: The certification is valid for life, with no mandatory re-certification required. 

  • Examination type: Multiple-choice questions 

    Number of questions: 40 

    Pass mark: 65% 

    Open book: No 

    Notes: No 

    Electronic equipment/aides permitted: No 

    Exam duration: 60 minutes 

  • Professionals at all levels and across all types of organisations, including:

    • developers 

    • project managers 

    • product managers 

    • chief information officers 

    • chief finance officers

    • change practitioners

    • business consultants

    • leaders of people 

  • There are no mandatory prerequisites. Knowledge of AI terminology, for instance through the EXIN/BCS Artificial Intelligence Essentials exam is useful, but will be covered in the training course too.