Artificial Intelligence and Data Science

Overview

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 understand and deal with future challenges particularly post Covid-19.

The course will explain how AI is about designing and building computer-based artifacts to make various human tasks easier. Participants will realise 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.

The course aims to enable leaders and decision makers to introduce fit-for-purpose AI and DS applications and approaches to their organisations in the post Covid 19 era.

Related Sustainable Development Goals

Delivery Languages

Related Courses

Location

London, Greater London, England, United Kingdom

Get Directions

Country/Regions

Social Networks

What will you learn

Understanding the key digital challenges and opportunities senior leaders face in leading complex organisations and how to become an aspiring leader.
Working and influencing dynamics in organisations, including effective networks development and DS for managers and leaders.
Understand the difference between AI, machine learning and deep learning. Also, Data Analytics, Big Data and strategic alignment and DT facilitators.
Learn problem solving techniques, description, representation using AI and/or DS.
In addition, participants will have insight into: critical analysis; interactive and team working; creativity; and problem solving in response to the various challenges in the post Covid 19 era. Using participants’ own organisations as cases, participants will explore how and when they can establish AI and DS initiatives in their organisations and who should be involved.

Program Structure

For each session there is an activity or set of activities. These are designed to help you engage with the introduction to the theories explored within the workshop.

Your tutor will be on hand to guide you through the course and will expect you to bring to bear personal experience and reflection on the topics covered.

At an additional cost, after competition of the course, attendees to write a report, supported by the tutor, of what they have learnt and what is particularly relevant to their employers. A focus to be one aspect of the workshop which has implications for the way they will improve their professional practice when they return to their employers. This will help reassure the employers of the benefits of the programme and help consolidate the understanding of the manager.

DAY ONE
Registration and welcome
Introduction to post Covid-19 era management and leadership challenges
Strategic alignment and digital transformation enablers
Group discussion and Q/A
Lunch Break
Introduction to Artificial Intelligence
Data science for managers and leaders
Group discussion and Q/A

DAY TWO
Reflection on day one
Managing people, information and processes
Artificial intelligence and Deep Learning
Group discussion and Q/A
Data Analytics
Machine Learning
Group discussion and Q/A

DAY THREE
Reflection on day two
Transformative leadership
Blockchain, simulation and decision support system
Group discussion and Q/A
AI and DS readiness assessment for your organization
AI and DS for achieving SDGs
Group discussion and Q/A

Target Participants

The course covers materials for all levels from supervisory through to senior level.
Government officials: minsters, undersecretaries, directors, etc.
Private sector: CEOs, managers and directors responsible for transformation, project, programme, performance, excellence, knowledge, innovation or change management.
Experienced managers who have significant futures-oriented management responsibilities, and who are interested in reflecting on their own experience and discovering new ideas.
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.
Youth, NGOs (voluntary) and civil society groups (public).
Professionals, SMEs, Start-ups and other stakeholders.

Benefits for Employers

Understanding the potential of AI and KM on your organisation/career in terms of productivity, engagement, loyalty and retention.
Understand evolving organisational requirements post Covid-19.
The opportunity for employers to showcase their role in different fields.
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.
Understand evolving international requirements for achieving the United Nations 2030 Agenda and its 17 SDGs.

Contact Us

To register/enquire about this course and all our various comprehensive list of courses and workshops, please contact us (admin@wasd.org.uk) and if you have any question and/or if you would like to request a training workshop/program not listed in our portfolio please contact our training coordinator Janet Snow at: janet.snow@wasd.org.uk.

Artificial Intelligence and Data Science

Overview

Related Sustainable Development Goals

Delivery Languages

Related Courses

Location

Country/Regions

Social Networks

What will you learn

Program Structure

Target Participants

Benefits for Employers

Contact Us

Fees

Register

You May Also Be Interested In

Digital Transformation and Sustainable Development for Future Women Leaders

18 July 2023This two-day course will be facilitated by world renowned experts in Digital Transformation…

Strategic Leadership and Performance Improvement in Higher Education

Three Days Course 23 May 2023 Certificate of attendance from Queen Mary University of…

Artificial Intelligence and Knowledge Management for Future Digital Leaders

4 September 2023 and Multiple 2023 datesArtificial Intelligence and Knowledge Management for Future…