AI a Practical Approach

Digital Programme

AI a Practical Approach

Digital Programme


Generate value through algorithms

The AI in Business online programme aims to demystify AI by enabling you to diagnose, implement, measure and build AI for personal and organisational impact. You will learn how to use AI as a critical lever to improve your individual and organisational competitiveness.

This programme will develop your understanding of what AI is and how it works, no matter how much experience you have of technology, or your level within an organisation.

What will I learn?

The what, why and how of AI in business

  • Identify what AI is and what it is not - explore the AI landscape
  • Analyse why AI matters - investigate the creation of AI value
  • Develop an in-depth understanding of AI and data interaction - the role of data and analytics
  • Identify, compose and apply the development of an AI business case
  • Evaluate the success of AI projects
  • Build an AI powered chatbot

Programme breakdown

Orientation Module

The Orientation Module introduces you to the GIBS Online campus, onboards you to the programme and initiates your engagement with the GIBS expert faculty and fellow participants. You have the opportunity to familiarise yourself with the programme details, how to approach online learning and the kinds of activities you will encounter during the programme.

Module One - Demystifying AI

What AI is and why AI, data and analytics matter - creating AI value 

  • What AI is and what it is not
  • Why AI matters
  • The role of data and analytics

Module Two - AI in Action

How AI is being used and why

  • Integrate AI, data and analytics - co-existence being fundamental to implementing AI
  •  Identify how AI is being leveraged
  • Identify the value of AI

Module Three - AI Impact Within Organisations and Across Sectors

The impact of AI on organisations, in organisations and across sectors

  • Analyse the impact of AI
  • Analyse AI at a sectoral level
  • Analyse AI at the organisational level

Module Four - AI Companies and the Business Case for AI

AI companies and building compelling business cases within organisations

  • Identify and evaluate AI companies
  • Compose an AI business case
  • Apply AI principles within your organisation

Module Five - Measuring AI Success: Metrics That Matter

Evaluating the value of AI within an organisation

  • Evaluate how AI creates value - metrics that matter
  • Apply value metrics within your context

Module Six - Chatbot and Business Case

Chatbot application assignment

  • Design, develop and deploy an AI powered chatbot
  • Conceptualise an AI project - the business case for the chatbot 


Throughout the programme you will have opportunities to test your knowledge, practise application, evaluate your understanding, reflect on your insights and track your improvement with both graded and ungraded assessments.

Module assessments include reflective polls and discussions, multiple-choice quizzes, written assignments and case study applications. You will receive feedback and can discuss ways to improve with GIBS faculty and your peers.

During the final module you will apply what you have learned by developing your own AI powered chatbot and composing an AI project business case as a final assignment.

Your expert guides

Dr Manoj Chiba


Dr Manoj Chiba has over 20 years of experience in the field of Data and Data Analytics, and over 10 years hands-on experience as a Data Scientist. He built his first image recognition algorithm in 1998. Over and above this technical understanding, Dr Chiba has more than 12 years of senior management experience across a variety of sectors. This valuable combination of business and technical experience allows him to provide tangible understanding of the critical components that impact on business, supported by sound conceptual and academic rigour. Dr Chiba consults widely across the African continent, Middle East and the United Kingdom on strategic technology initiatives, specifically those related to data, data science and AI.