Course Introduction
The Project Management for Institutional Digitalization Course provides a comprehensive framework for planning, governing, implementing, and sustaining digital transformation initiatives across public institutions, universities, businesses, development organizations, and other complex institutions. It equips project managers, digital transformation leaders, executives, ICT professionals, and institutional decision-makers with practical methods for converting digital strategies into coordinated projects that deliver measurable organizational value.
Institutional digitalization involves much more than purchasing software or replacing paper-based processes. It requires changes to organizational structures, workflows, policies, data, technology infrastructure, employee capabilities, service models, governance arrangements, and organizational culture. This course explores how project management disciplines can be applied to these interconnected changes, enabling institutions to manage digital transformation systematically while maintaining service continuity, stakeholder confidence, security, and operational effectiveness.
Participants will examine the full digitalization project lifecycle, beginning with institutional assessments, digital maturity analysis, business-process mapping, needs assessment, and transformation strategy. The course then covers project prioritization, business cases, technology selection, requirements management, implementation planning, procurement, systems integration, data migration, testing, deployment, training, change management, and benefits realization. Practical attention is given to managing dependencies between technology, people, processes, policies, and institutional objectives.
The course also addresses emerging digital technologies that are reshaping institutional operations. Participants will explore cloud computing, artificial intelligence, automation, data analytics, digital platforms, enterprise systems, Internet of Things technologies, digital identity, mobile applications, application programming interfaces, and digital twins. At the same time, the course emphasizes cybersecurity, privacy, data governance, responsible AI, interoperability, technology resilience, vendor dependency, and digital inclusion as essential components of sustainable institutional digitalization.
Strong emphasis is placed on financial, commercial, and resource management. Participants will learn how to build digital transformation business cases, assess investment options, develop budgets, manage procurement, evaluate vendors, control implementation costs, and measure financial and operational benefits. The course also considers total cost of ownership, licensing, cloud expenditure, technology refresh cycles, skills requirements, outsourcing decisions, and the long-term sustainability of institutional digital systems.
By the end of the course, participants will be able to manage institutional digitalization projects through a structured, strategic, and adaptive project management framework. They will gain practical capabilities for coordinating technology and business teams, managing organizational change, controlling implementation risks, strengthening digital governance, improving user adoption, and ensuring that digital investments translate into measurable improvements in efficiency, service quality, transparency, decision-making, resilience, and institutional performance.
Duration
5 days
Who Should Attend
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Digital transformation managers and programme leaders responsible for institutional digitalization initiatives.
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Project managers managing enterprise technology, process automation, systems implementation, and digital transformation projects.
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Chief information officers, chief digital officers, ICT directors, and technology executives leading institutional modernization.
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Senior managers and executives responsible for organizational transformation, operational efficiency, service improvement, and digital strategy.
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Business analysts and process improvement specialists involved in business-process redesign and digital workflow transformation.
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Enterprise architects and solution architects responsible for designing technology environments and integration strategies.
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Information systems and ICT professionals managing enterprise applications, infrastructure, platforms, data, networks, and technology services.
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Change management, human resources, and organizational development professionals supporting workforce transformation and technology adoption.
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Finance, procurement, and commercial professionals involved in digital investment decisions, technology procurement, contracts, and vendor management.
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Data governance, cybersecurity, privacy, compliance, and information management professionals supporting secure institutional digitalization.
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Public-sector, university, nonprofit, and development-sector professionals implementing digital government and institutional modernization programmes.
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Consultants and transformation advisers supporting organizations with digital strategy, technology implementation, process improvement, and organizational change.
Course Objectives
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Develop practical project management capabilities for planning, coordinating, implementing, and sustaining institutional digitalization and digital transformation initiatives.
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Assess organizational digital maturity, process performance, technology capabilities, data readiness, workforce skills, governance structures, and institutional transformation needs.
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Translate digital strategies into prioritized project portfolios with clear business cases, objectives, deliverables, milestones, dependencies, resources, and measurable benefits.
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Apply business-process analysis, workflow redesign, requirements management, systems integration, technology selection, and implementation planning to digitalization projects.
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Strengthen digital transformation budgeting, procurement, vendor management, financial control, total-cost-of-ownership analysis, and technology investment decision-making.
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Manage organizational change through stakeholder engagement, communication, training, user adoption, leadership alignment, resistance management, and workforce capability development.
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Establish effective approaches for managing cybersecurity, privacy, data protection, digital identity, interoperability, information governance, and technology-related operational risks.
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Use artificial intelligence, automation, cloud computing, analytics, digital platforms, APIs, and other emerging technologies to improve institutional processes and services.
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Develop performance measurement and benefits realization systems that demonstrate improvements in efficiency, productivity, service quality, transparency, user satisfaction, and organizational resilience.
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Build sustainable digitalization programmes through strong governance, scalable architectures, institutional ownership, continuous improvement, technology renewal, knowledge management, and long-term capability development.
Comprehensive Course Outline
Module 1: Foundations of Institutional Digitalization Project Management
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Principles, concepts, terminology, and strategic importance of project management within institutional digital transformation programmes.
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Understanding the difference between digitization, digitalization, digital transformation, automation, technology modernization, and organizational transformation.
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Defining digitalization objectives, scope, deliverables, stakeholders, benefits, assumptions, constraints, dependencies, and transformation priorities.
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Establishing digital transformation governance structures, decision rights, programme boards, reporting systems, project controls, and escalation mechanisms.
Module 2: Digital Maturity Assessment and Transformation Strategy
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Conducting institutional digital maturity assessments covering technology, processes, data, people, governance, culture, cybersecurity, and service delivery capabilities.
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Mapping current-state business processes to identify inefficiencies, duplication, manual activities, bottlenecks, control weaknesses, and opportunities for digital improvement.
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Developing future-state digital operating models aligned with institutional strategy, customer needs, organizational capabilities, regulatory requirements, and long-term transformation objectives.
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Creating digital transformation roadmaps that prioritize initiatives according to strategic value, feasibility, urgency, dependencies, investment requirements, and expected benefits.
Module 3: Digital Project Design, Business Cases and Portfolio Prioritization
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Developing project charters, business cases, work breakdown structures, implementation plans, resource requirements, milestones, dependencies, and measurable success criteria.
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Evaluating digital initiatives using financial, operational, strategic, customer, technology, risk, compliance, sustainability, and organizational capability criteria.
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Applying portfolio prioritization techniques to sequence competing digital projects within limited funding, technology capacity, specialist skills, and organizational change capacity.
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Developing investment scenarios and decision models that address implementation costs, expected benefits, total cost of ownership, scalability, and long-term technology requirements.
Module 4: Requirements, Process Redesign and Technology Selection
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Eliciting and documenting functional, technical, operational, security, data, integration, accessibility, and user-experience requirements for institutional digital systems.
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Applying business-process reengineering, workflow optimization, service design, lean principles, and automation analysis to redesign institutional processes.
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Evaluating enterprise software, cloud platforms, digital applications, workflow systems, enterprise resource planning, customer relationship management, and other technology solutions.
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Managing requirements traceability, solution evaluation, proof-of-concept activities, testing criteria, acceptance standards, change requests, and scope control throughout implementation.
Module 5: Procurement, Vendor and Financial Management
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Developing procurement strategies for software, hardware, cloud services, consulting, systems integration, cybersecurity, managed services, and other digital transformation requirements.
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Preparing technical specifications, evaluation criteria, requests for proposals, contracts, service-level agreements, implementation milestones, and vendor performance requirements.
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Managing digital transformation budgets covering licensing, implementation, infrastructure, integration, training, support, cybersecurity, maintenance, and contingency costs.
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Monitoring expenditure, financial commitments, budget variances, vendor payments, total cost of ownership, contract performance, and long-term technology sustainability.
Module 6: Data Governance, Integration and Digital Architecture
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Developing institutional data governance frameworks covering data ownership, quality, classification, access, retention, privacy, sharing, security, and accountability.
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Managing data migration, cleansing, validation, interoperability, master data, metadata, application programming interfaces, and integration between legacy and new systems.
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Designing scalable digital architectures incorporating cloud computing, enterprise platforms, APIs, data platforms, mobile systems, automation, and interoperable institutional applications.
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Addressing legacy-system modernization, technical debt, system dependencies, vendor lock-in, architecture standards, technology obsolescence, and long-term scalability requirements.
Module 7: Cybersecurity, Privacy, AI and Emerging Digital Technologies
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Identifying and managing cybersecurity threats affecting institutional systems, applications, networks, data, users, vendors, cloud services, and connected devices.
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Applying privacy, data protection, access management, identity governance, encryption, backup, incident response, business continuity, and security monitoring principles.
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Exploring artificial intelligence, machine learning, generative AI, intelligent automation, predictive analytics, chatbots, and other technologies for improving institutional services and operations.
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Establishing responsible AI and emerging technology governance covering human oversight, transparency, bias, explainability, data quality, intellectual property, cybersecurity, and ethical use.
Module 8: Change Management, Digital Adoption and Workforce Transformation
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Developing change management strategies that align leadership, employees, users, technology teams, business units, and other stakeholders around digital transformation objectives.
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Conducting stakeholder analysis, readiness assessments, communication planning, engagement activities, resistance analysis, training needs assessments, and adoption planning.
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Designing digital skills development programmes covering technology literacy, data skills, cybersecurity awareness, AI capabilities, process changes, and role-specific competencies.
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Managing organizational culture change and workforce transition while maintaining productivity, employee engagement, service continuity, accountability, and institutional knowledge.
Module 9: Implementation, Testing, Deployment and Benefits Realization
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Managing system implementation through configuration, development, integration, testing, user acceptance, data migration, deployment, stabilization, and operational handover.
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Developing implementation dashboards and control systems for tracking milestones, issues, defects, risks, dependencies, resources, expenditure, decisions, and readiness.
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Establishing benefits realization frameworks that connect digital investments with measurable improvements in efficiency, cost, quality, service delivery, productivity, and user experience.
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Managing post-implementation support, stabilization, performance optimization, lessons learned, system enhancement, continuous improvement, and transition into business-as-usual operations.
Module 10: Digital Governance, Sustainability and Continuous Transformation
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Establishing institutional digital governance models that coordinate strategy, architecture, investment, cybersecurity, data, technology standards, projects, and operational performance.
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Developing sustainability strategies covering technology lifecycle management, recurring costs, skills retention, vendor relationships, infrastructure capacity, system maintenance, and future upgrades.
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Using digital dashboards, performance analytics, process intelligence, automation metrics, user feedback, and institutional data to identify new opportunities for continuous improvement.
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Building adaptive digital transformation capabilities that respond to emerging technologies, changing user expectations, cybersecurity threats, regulatory developments, market conditions, and evolving institutional priorities.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
