Program facts
- Study fee
- Free
- subjects
- 5
- lessons
- 20
- Estimated time
- 13 hours
- Access period
- 60 days
- Study language
- Arabic and English
About the program
This Short Diploma builds an integrated view of digital transformation from the starting point through execution and measurement. It first distinguishes digitisation, digitalisation, automation, and transformation, then shows how to assess the current state, define a target vision and outcomes, prioritise a portfolio, and sequence a roadmap. It then moves into process redesign, data governance, platforms and integration, decision governance, change adoption, and risk. The final subject builds a measurement approach connecting adoption, performance, benefits, and continuous learning. Cases are country-neutral, and the program does not assume that a new technology or digital initiative guarantees a return.
Practical relevance
Learners practise reviewable tools: a current-state snapshot, target vision, prioritisation criteria, roadmap, governance/data/risk questions, and a measurement map for adoption and outcomes. Activities do not require confidential data; a fictional case or a familiar organization can be used without disclosing sensitive information.
Why this program
Digital-transformation discussions often collapse into a technology purchase or the conversion of a paper process into a screen. This program restores the decision logic: what value should change, what is the current state, what capabilities and data are needed, which initiatives deserve priority, and how will the organization know that people adopted the change and benefits are emerging? The learner therefore develops a transformation logic before becoming attached to a particular tool.
Career relevance
The program is useful for professionals who participate in improvement, technology, data, customer-experience, operations, or project initiatives. It also gives non-technical professionals a shared language for working with business, technology, data, and risk teams.
What you will learn
- Distinguish digitisation, digitalisation, automation, and digital transformation, and explain how each affects value and work.
- Assess the current digital state across strategy, processes, data, technology, capabilities, governance, and risk using reviewable evidence.
- Formulate a target digital-transformation vision and link it to measurable outcomes and stakeholder needs.
- Prioritise a portfolio of transformation initiatives and build a roadmap that considers value, feasibility, risk, dependencies, and sequencing.
- Analyse and redesign a process before selecting suitable automation or a digital intervention.
- Explain the roles of data governance, platforms, architecture, integration, and interoperability, and compare build-buy and supplier-dependency trade-offs.
- Define governance roles and decision rights, and integrate cybersecurity, privacy, resilience, and supplier risks into transformation decisions.
- Design a change-adoption approach covering stakeholder engagement, skills, communication, incentives, and feedback.
- Build a measurement system that links baselines, adoption, performance, stakeholder experience, and benefits without assuming guaranteed returns.
- Integrate current state, vision, portfolio, processes, data, platforms, change, risk, and measurement into an adaptive, learning-oriented transformation plan.
Learning outcomes (10)
- Distinguish digitisation, digitalisation, automation, and digital transformation, and explain how each affects value and work.
- Assess the current digital state across strategy, processes, data, technology, capabilities, governance, and risk using reviewable evidence.
- Formulate a target digital-transformation vision and link it to measurable outcomes and stakeholder needs.
- Prioritise a portfolio of transformation initiatives and build a roadmap that considers value, feasibility, risk, dependencies, and sequencing.
- Analyse and redesign a process before selecting suitable automation or a digital intervention.
- Explain the roles of data governance, platforms, architecture, integration, and interoperability, and compare build-buy and supplier-dependency trade-offs.
- Define governance roles and decision rights, and integrate cybersecurity, privacy, resilience, and supplier risks into transformation decisions.
- Design a change-adoption approach covering stakeholder engagement, skills, communication, incentives, and feedback.
- Build a measurement system that links baselines, adoption, performance, stakeholder experience, and benefits without assuming guaranteed returns.
- Integrate current state, vision, portfolio, processes, data, platforms, change, risk, and measurement into an adaptive, learning-oriented transformation plan.
Who it is for
- Learners and professionals seeking a structured foundation in Digital Transformation.
- People seeking applicable knowledge without requiring advanced prior experience.
- Professionals in business, operations, projects, technology, data, or customer experience who need a shared language for transformation.
Prerequisites
- No technical specialization or advanced prior experience is required.
- General familiarity with how an organization, service, or process works is helpful; a fictional case can be used when work experience is unavailable.
What it does not offer
- Advanced hands-on programming training for a specific technology platform or product.
- Anyone seeking a formula that guarantees a financial return or predetermined transformation outcome.
Curriculum
- Subject 1 Open for free
Digital Transformation Foundations and Current-State Assessment
Builds a shared language for digital transformation, starts from value, assesses the current state, and converts it into an understandable target vision.
- Subject 2
Transformation Strategy, Portfolio, and Roadmap
Links vision to outcomes and benefits, then turns ideas into a prioritised portfolio, roadmap, and reviewable staged investments.
- Subject 3
Processes, Data, and Digital Platforms
Focuses on how the organization works: process redesign, data foundations, platforms and integration, and fit-for-purpose automation and AI choices.
- Subject 4
Governance, Change, Capabilities, and Risk
Builds governance and decision rights, adoption and capability plans, and integrates cybersecurity, privacy, resilience, and supplier risk into transformation decisions.
- Subject 5
Execution, Measurement, Adoption, and Continuous Improvement
Connects execution to metrics, benefits, and continuous learning, ending with an integrated application that turns prior elements into an adaptive transformation cycle.
Subjects unlock in sequence as you progress.
Strengths
- Clearly separates digitisation, automation, and transformation and returns attention to value and outcomes.
- Connects current-state assessment to vision, portfolio, and roadmap rather than treating them as isolated topics.
- Brings processes, data, platforms, governance, and risk into one connected transformation decision system.
- Treats change adoption, skills, and communication as part of execution rather than an afterthought to technology purchase.
- Builds measurement from baselines, adoption, outcomes, and benefits without promising guaranteed returns.
Evidence basis
The design is grounded in institutional sources, standards, professional guidance, and academic literature including OECD, the European Commission/Open DMAT, ISO/IEC 38500, NIST CSF 2.0, PMI, ISO/TS 10020, The Open Group, ISACA, and a peer-reviewed review of digital transformation. Only the public pages or public abstracts recorded in the access log were relied upon.
Reference organizations
- OECD
- European Commission / EDIH Network
- ISO/IEC
- NIST
- PMI
- The Open Group
- ISACA
Frameworks used
- Open DMAT
- The Standard for Portfolio Management — Fourth Edition
- Benefits Realization Management — Practice Guide
- TOGAF Standard — 10th Edition
- COBIT — 2019
Methodology
Sources were used to define concepts and inform assessment, governance, and risk dimensions; original outcomes and lessons were then designed to progress from understanding to application without reproducing protected frameworks or questions.
Program questions
Does digital transformation simply mean buying new technology?
No. The program treats technology as one part of a wider system involving value, processes, data, capabilities, governance, change, and measurement. A tool may be appropriate, but selection follows the problem and desired outcome.
What is the difference between digitisation, automation, and digital transformation?
Digitisation converts analogue information or processes into digital form, automation executes steps automatically, while digital transformation more broadly changes how value is created and how the organization operates and builds capabilities using technology and data.
Do I need advanced technical or programming experience?
No. Advanced technical experience and programming are not prerequisites. Learners should be willing to work with organizational examples and practical decisions; important terminology is introduced when it first matters.
What practical work will I learn to produce?
You will practise a current-state assessment, target vision and outcomes, initiative prioritisation, roadmap design, process analysis, governance/data/risk questions, and metrics for adoption and outcomes.
Does the program guarantee a return on digital investment?
No. Digital returns are not guaranteed. You learn to form value and benefit hypotheses, set baselines and indicators, and continue, adapt, or stop investment based on evidence and observed results.
Does the program cover artificial intelligence?
Yes, in context: AI is treated as one possible technology choice for suitable use cases, with attention to data, risk, fit, and human oversight. The diploma is not converted into an AI-tool course.
Is the content tied to one country or regulatory system?
No. Learning cases are country-neutral and globally applicable. Where local legal or regulatory duties matter, learners are directed to verify the rules that apply in their own setting rather than assuming a default country.
Is the certificate a university degree or professional licence?
No. It is an optional training-completion credential under the platform policy, not a university degree or a licence to practise a regulated profession.