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Dates: Multiple Dates 

Duration: 3 Days

Delivery: Face to face & Online

Certificate of Completion from Queen Mary University of London  

 

Mastering AI & Data Science for a Brighter Future 

 

This course has been designed to introduce a variety of fundamental perspectives on Artificial Intelligence (AI) and Data Science (DS) to build future leaders in public and private sectors who are able to respond to the ever-growing challenges facing our communities.

The course aims to enable leaders and decision makers to introduce fit-for-purpose AI and DS applications and approaches to their organisations to respond to evolving challenges. The course will therefore explain why AI can be suitable for certain types of problems and how AI solutions can be designed and developed to improve the quality of citizen’s life.

Participants will be enlightened on how much AI has the potential to make our lives better in almost all fields. It gives us the tools necessary to learn from and capitalise on human experience and perform complex tasks such as recommending solutions based on processing large amounts of data.

Learning Outcomes:

  • Gain deep understanding of Artificial Intelligence (AI), Data Science (DS), machine learning and their underpinnings theories and models.
  • Build clear insights around the overall context of our organisations and the challenges faced by civil society.
  • To build a roadmap for an AI-enabled decision-making process to leverage and support organisational management and leadership.
  • Grasp ethical, political, environmental and social concerns associated with the application of AI in societies.
  • Practice authentic problem-solving techniques for managers and leaders in AI-oriented era.
  • Evaluate the appropriateness of a business application for artificial intelligence, natural language processing, machine learning and other AI technologies. 

Program Structure:

  • There will be an activity or set of activities for each session which will be designed to help you engage with the introduction to the theories explored within the course.
  • Your Facilitator will be on hand to guide you through the programme and will expect you to bring personal experience and reflection on the topics covered.
  • Group work will be required for participants to engage in the course. Such activity allows participants to embed the new knowledge within their experience through active discussion and challenge.

Abbreviations

  • (AI) Artificial Intelligence
  • (DT) Digitally Transformation
  • (DS) Data Science
  • (KM) Knowledge Management
  • (SD) Sustainable Development
  • (SDGs) Sustainable Development Goals
  • (SMEs) Small and Medium Enterprises
  • (TT) Technology Transfer
  • (UN) United Nations

Modules

  • Understanding your organisation.
  • Management and leadership challenges.
  • Strategic alignment and digital transformation enablers.
  • Understanding DT.
  • What is AI?
  • Technologies and processes of DT and AI.
  • AI in business and data analytics.
  • DT and the future perspectives for better future.
  • DS for managers and leaders.
  • Deep learning and machine learning.
  • AI and decision support system.
  • DT readiness assessment for your organisation.
  • AI and DS for achieving SDGs.
  • Transformative leadership.

 

Who is this course for?

    1. The course covers materials for all levels from supervisory through to senior level.
    2. Government officials: minsters, undersecretaries, directors, etc.
    3. Private sector: CEOs, managers and directors responsible for transformation, project, programme, performance, excellence, knowledge, innovation or change management.
    4. Experienced managers who have significant futures-oriented management responsibilities, and who are interested in reflecting on their own experience and discovering new ideas.
    5. Academics including vice chancellors, deans, heads of departments, researchers and students who are interested in leadership and in being part of an engaging educational experience that explore the challenges and opportunities that face organizations.
    6. Youth, NGOs (voluntary) and civil society groups (public).
    7. Professionals, SMEs, Start-ups and other stakeholders. 

Benefits for Employers

  1. Understanding the potential of AI and DS on your organisation/career in terms of productivity, engagement, loyalty and retention.
  2. Understand evolving organisational requirements post Covid-19.
  3. The opportunity for employers to showcase their role in different fields.
  4. At the end of the course participants should have acquired comprehensive knowledge and practical experience about AI and DS applications and approaches in alignment with the local needs and capabilities.
  5. Understand evolving international requirements for achieving the United Nations 2030 Agenda and its 17 SDGs.

 

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