Advanced Public Sector Technology Management and Digital Innovation Training Course

Course Introduction

Public-sector technology management has evolved from a primarily technical support function into a strategic capability that influences institutional performance, service delivery, policy implementation, operational efficiency, transparency, and citizen trust. Government institutions increasingly depend on cloud platforms, enterprise applications, digital services, data infrastructure, artificial intelligence, automation, cybersecurity, and integrated technology ecosystems. This advanced course provides participants with a comprehensive understanding of how to manage these technologies strategically while ensuring that digital investments deliver measurable administrative and public-service value.

Effective technology management requires government institutions to connect technology decisions with organisational mandates, development priorities, operational requirements, financial resources, risk considerations, and measurable outcomes. Participants will examine technology strategy, digital maturity, enterprise architecture, portfolio management, investment prioritisation, technology governance, procurement, vendor management, and lifecycle planning. The course demonstrates how institutions can move beyond fragmented technology projects toward coordinated technology portfolios that reduce duplication, strengthen interoperability, manage technical debt, improve resilience, and create sustainable digital capabilities.

Digital innovation provides governments with opportunities to redesign traditional administrative models and develop more responsive, efficient, inclusive, and evidence-driven services. Participants will explore innovation strategy, design thinking, experimentation, agile delivery, process automation, artificial intelligence, predictive analytics, digital platforms, mobile technologies, emerging applications, and innovation ecosystems. The programme emphasises practical approaches for identifying high-value innovation opportunities while controlling technological, operational, financial, ethical, cybersecurity, and implementation risks. Participants will learn how to establish environments in which responsible experimentation can lead to scalable improvements.

The programme also examines the organisational dimensions of technology management and innovation. Technology transformation requires capable leaders, appropriate governance structures, skilled employees, effective communication, change management, innovation culture, and strong collaboration between technical and business teams. Participants will learn how to assess digital capabilities, develop workforce strategies, manage resistance, build innovation portfolios, establish cross-functional teams, and create mechanisms for capturing and scaling successful innovations. Particular attention is given to overcoming institutional silos, procurement constraints, legacy systems, limited technical skills, fragmented budgets, and risk-averse organisational cultures.

Emerging technologies are changing the boundaries of what government institutions can achieve. Artificial intelligence, generative AI, autonomous agents, digital twins, Internet of Things technologies, blockchain applications, advanced analytics, cloud computing, low-code platforms, robotic process automation, and intelligent infrastructure are creating new possibilities for administration and public services. Participants will assess these technologies from strategic, operational, financial, ethical, security, regulatory, and sustainability perspectives. The course emphasises responsible innovation, ensuring that technology adoption is guided by public value, transparency, accountability, inclusion, privacy, cybersecurity, and human oversight.

By the end of the course, participants will be equipped to lead technology management and digital innovation programmes across public institutions. They will gain practical capabilities in technology strategy, governance, enterprise architecture, digital investment, innovation management, emerging technologies, cybersecurity, procurement, change management, digital skills, agile delivery, analytics, and performance measurement. The programme ultimately enables government organisations to build resilient and innovative technology environments that improve institutional effectiveness, modernise public administration, strengthen service delivery, and create sustainable digital value.

Duration

10 days

Who Should Attend

• Senior government executives responsible for technology management, digital transformation, ICT strategy, innovation, and institutional modernisation.

• Permanent secretaries, directors, departmental heads, and senior managers overseeing technology-enabled administrative reforms and public-sector transformation.

• Chief information officers, chief technology officers, chief digital officers, and ICT directors responsible for government technology portfolios and digital strategy.

• Digital transformation leaders responsible for planning and implementing technology-enabled organisational and service-delivery improvements.

• Technology and ICT managers responsible for applications, infrastructure, platforms, systems integration, service management, and technology operations.

• Enterprise architects responsible for technology architecture, systems integration, application portfolios, standards, interoperability, and technology roadmaps.

• Innovation managers and public-sector innovation specialists responsible for experimentation, emerging technologies, digital products, and institutional innovation programmes.

• Programme and project managers responsible for technology implementation, digital transformation, enterprise systems, innovation projects, and technology modernisation.

• Data, analytics, and artificial intelligence professionals supporting data-driven decision-making, intelligent systems, predictive analytics, and emerging technology adoption.

• Cybersecurity and technology-risk professionals responsible for securing government technology environments and managing digital operational risks.

• Procurement and contract-management professionals involved in technology sourcing, cloud services, software acquisition, systems integration, and digital partnerships.

• Finance and investment professionals assessing technology business cases, digital investment priorities, lifecycle costs, value realisation, and technology budgets.

• Human resource and organisational development professionals supporting digital skills, workforce transformation, change management, and innovation culture.

• Monitoring and performance professionals assessing technology investments, digital initiatives, innovation outcomes, service improvements, and institutional performance.

• Consultants, advisers, development practitioners, and technical specialists supporting governments with technology strategy, innovation, digital transformation, and public-sector modernisation.

Course Objectives

• Develop advanced knowledge of public-sector technology management and digital innovation and their contribution to institutional performance, administrative modernisation, and public value.

• Strengthen participants’ ability to formulate technology strategies aligned with government priorities, institutional mandates, service requirements, financial resources, operational needs, and measurable outcomes.

• Enable participants to assess technology maturity, digital capabilities, application portfolios, infrastructure, workforce skills, governance arrangements, innovation capacity, and organisational readiness.

• Develop practical skills for establishing technology governance frameworks covering decision rights, architecture standards, investment priorities, risk management, accountability, performance, and technology lifecycle control.

• Equip participants with methods for evaluating emerging technologies and determining where artificial intelligence, automation, cloud, analytics, and other innovations can create sustainable public-sector value.

• Improve participants’ ability to design and manage technology portfolios that address duplication, technical debt, legacy systems, interoperability gaps, cybersecurity exposure, and inefficient technology expenditure.

• Strengthen competence in public-sector innovation management, including opportunity identification, experimentation, prototyping, testing, scaling, institutionalisation, and measurement of innovation outcomes.

• Develop practical approaches for managing digital transformation programmes through agile delivery, iterative development, stakeholder engagement, change management, benefits realisation, and continuous improvement.

• Enable participants to establish responsible innovation frameworks that address ethics, privacy, accessibility, cybersecurity, transparency, accountability, inclusion, sustainability, and public trust.

• Introduce advanced applications of AI, generative AI, autonomous agents, predictive analytics, digital twins, IoT, automation, low-code platforms, and intelligent government technologies.

• Promote effective technology procurement and supplier management covering business requirements, value for money, interoperability, security, intellectual property, service levels, vendor dependency, and technology exit strategies.

• Equip participants with methods for measuring technology performance and innovation value through investment returns, service improvements, efficiency gains, adoption, resilience, user experience, and institutional outcomes.

Comprehensive Course Outline

Module 1: Foundations of Public-Sector Technology Management

• Understanding technology management as a strategic public-sector capability supporting administration, service delivery, institutional performance, policy implementation, and organisational transformation.

• Examining the relationship between technology strategy, ICT operations, digital government, innovation, data, cybersecurity, public services, organisational capability, and government performance.

• Assessing the transition from traditional ICT support models toward integrated technology portfolios focused on business outcomes, citizen value, resilience, and long-term sustainability.

• Exploring emerging technology-management issues involving AI, autonomous systems, digital public infrastructure, intelligent platforms, quantum technologies, and rapidly changing technology ecosystems.

Module 2: Government Technology Strategy and Digital Alignment

• Developing technology strategies that align institutional mandates, policy priorities, administrative requirements, public-service objectives, technology capabilities, budgets, risks, and measurable outcomes.

• Conducting technology-environment assessments covering applications, infrastructure, data, skills, governance, cybersecurity, service management, innovation capability, and technology maturity.

• Establishing technology objectives, strategic principles, investment priorities, implementation phases, governance arrangements, performance indicators, and long-term digital roadmaps.

• Addressing emerging strategic pressures involving accelerated technology cycles, AI adoption, cloud dependence, digital sovereignty, cybersecurity threats, and rapidly changing citizen expectations.

Module 3: Technology Governance and Decision Management

• Establishing governance structures that define technology decision rights, accountability, architecture compliance, investment priorities, risk ownership, standards, and performance oversight.

• Developing technology governance policies covering architecture, systems development, data, cybersecurity, procurement, cloud adoption, vendor management, technology lifecycle, and digital innovation.

• Applying portfolio governance to balance operational continuity, regulatory requirements, modernisation, innovation, risk reduction, service improvement, and strategic investment.

• Exploring emerging governance challenges involving AI governance, algorithmic accountability, autonomous systems, platform ecosystems, digital ethics, and technology concentration risks.

Module 4: Enterprise Architecture and Technology Portfolio Management

• Designing enterprise architectures that align business capabilities, processes, applications, data, infrastructure, security, integration, and digital services across government institutions.

• Managing technology portfolios by evaluating applications, platforms, infrastructure, technical debt, operating costs, business value, strategic relevance, and lifecycle requirements.

• Developing technology roadmaps covering consolidation, modernisation, migration, replacement, integration, retirement, infrastructure renewal, and innovation priorities.

• Addressing emerging architecture approaches involving cloud-native systems, microservices, composable architecture, event-driven platforms, edge computing, and reusable digital components.

Module 5: Digital Innovation Strategy and Public-Sector Innovation

• Developing public-sector innovation strategies that identify opportunities to improve administrative processes, services, policy implementation, decision-making, and institutional performance.

• Applying innovation methods including design thinking, experimentation, ideation, prototyping, user research, challenge-based innovation, agile development, and evidence-based testing.

• Establishing innovation portfolios that distinguish exploratory experiments from scalable initiatives while defining criteria for continuation, adaptation, institutionalisation, or termination.

• Exploring emerging innovation models involving generative AI, autonomous agents, digital twins, citizen co-creation, innovation labs, open innovation, and technology-enabled policy experimentation.

Module 6: Emerging Technologies for Government

• Assessing artificial intelligence, machine learning, generative AI, automation, IoT, blockchain, advanced analytics, cloud computing, digital twins, and other technologies for government applications.

• Evaluating emerging technologies against public value, feasibility, maturity, costs, risks, cybersecurity, privacy, skills, infrastructure, legal requirements, and organisational readiness.

• Developing technology adoption frameworks that distinguish useful innovation from technology hype and prioritise applications capable of producing measurable institutional or public-service benefits.

• Addressing emerging issues involving AI agents, quantum computing, synthetic data, spatial computing, robotics, autonomous systems, edge intelligence, and next-generation digital infrastructure.

Module 7: Artificial Intelligence and Intelligent Government

• Identifying practical applications of AI for administrative automation, information retrieval, forecasting, document processing, fraud detection, service personalisation, analytics, and executive decision support.

• Developing responsible AI adoption frameworks covering use-case selection, data requirements, model validation, human oversight, transparency, accountability, privacy, security, and continuous monitoring.

• Establishing governance processes for generative AI, including acceptable use, prompt management, information protection, output validation, intellectual property, workforce guidance, and risk controls.

• Addressing emerging AI challenges involving hallucinations, algorithmic bias, model drift, deepfakes, AI-enabled cyber threats, automated decisions, agentic systems, and uncontrolled AI deployment.

Module 8: Technology Procurement and Supplier Management

• Developing technology procurement strategies covering requirements definition, technical specifications, interoperability, security, accessibility, scalability, lifecycle costs, service levels, and value for money.

• Evaluating software, cloud services, infrastructure, platforms, systems integrators, technology consultants, managed services, and digital products using transparent and outcome-focused criteria.

• Managing technology suppliers through contracts, performance indicators, service-level agreements, intellectual property arrangements, support requirements, audit rights, data ownership, and exit provisions.

• Addressing emerging procurement issues involving AI-as-a-service, cloud subscriptions, open-source technologies, vendor lock-in, algorithmic transparency, technology portability, and rapidly changing products.

Module 9: Cloud, Infrastructure and Technology Operations

• Developing cloud and infrastructure strategies covering hosting, storage, connectivity, computing, scalability, availability, security, performance, cost management, and technology lifecycle requirements.

• Assessing public, private, hybrid, and multi-cloud environments while considering data residency, sovereignty, vendor dependency, interoperability, resilience, and long-term sustainability.

• Establishing operational management practices for monitoring, capacity, availability, incident response, maintenance, backup, disaster recovery, configuration, and service continuity.

• Addressing emerging infrastructure issues involving edge computing, sovereign cloud, green IT, energy efficiency, distributed infrastructure, infrastructure automation, and sustainable technology management.

Module 10: Cybersecurity, Technology Risk and Digital Resilience

• Developing cybersecurity strategies that protect government applications, infrastructure, identities, networks, data, digital services, and technology supply chains from evolving threats.

• Applying risk assessment, security architecture, identity management, access controls, vulnerability management, security monitoring, incident response, and recovery planning.

• Establishing digital resilience frameworks covering critical systems, operational dependencies, continuity priorities, redundancy, disaster recovery, crisis management, and technology recovery capabilities.

• Addressing emerging threats involving ransomware, AI-enabled attacks, supply-chain compromise, identity fraud, cloud vulnerabilities, insider threats, deepfakes, and critical infrastructure disruption.

Module 11: Agile Delivery, Automation and Digital Process Improvement

• Applying agile principles, iterative development, rapid prototyping, user testing, continuous feedback, and incremental delivery to government technology and innovation programmes.

• Identifying administrative processes suitable for automation through robotic process automation, workflow platforms, intelligent document processing, and AI-supported decision processes.

• Applying process mining, business-process analysis, workflow redesign, and performance measurement to identify bottlenecks, duplication, delays, manual tasks, and opportunities for digital optimisation.

• Exploring emerging delivery practices involving DevSecOps, low-code development, AI-assisted software engineering, autonomous workflows, continuous delivery, and intelligent process orchestration.

Module 12: Digital Workforce and Technology Change Management

• Developing digital workforce strategies covering technology competencies, leadership capabilities, specialist skills, reskilling, recruitment, retention, knowledge transfer, and workforce planning.

• Managing organisational change by addressing employee concerns, technology adoption, new responsibilities, process changes, training requirements, communication, and institutional culture.

• Establishing cross-functional technology teams that connect ICT specialists, business managers, policy professionals, service designers, data experts, cybersecurity personnel, and operational users.

• Addressing emerging workforce issues involving AI augmentation, human-machine collaboration, automation-related job redesign, digital leadership, remote technology teams, and continuous technology learning.

Module 13: Digital Platforms and Public-Service Innovation

• Designing government digital platforms that provide reusable capabilities for identity, payments, notifications, information exchange, authentication, case management, and public-service delivery.

• Developing platform governance models covering ownership, standards, interoperability, access, security, service levels, scalability, funding, and participation across public institutions.

• Identifying opportunities to consolidate fragmented services and create shared platforms that reduce duplication, improve consistency, accelerate innovation, and lower technology costs.

• Exploring emerging platform models involving digital public infrastructure, government-as-a-platform, ecosystem partnerships, open APIs, reusable components, and composable government services.

Module 14: Technology Performance and Benefits Realisation

• Developing technology-performance frameworks covering availability, reliability, user adoption, service quality, operating costs, security, innovation outcomes, efficiency, and institutional performance.

• Establishing benefits-realisation practices that connect technology investments with measurable improvements in administrative productivity, service delivery, decision-making, risk reduction, and public value.

• Applying dashboards, analytics, benchmarking, user feedback, service reviews, investment assessments, and technology audits to monitor performance and identify improvement opportunities.

• Addressing emerging performance approaches involving real-time technology observability, predictive analytics, AI-assisted operations, automated anomaly detection, digital twins, and continuous optimisation.

Module 15: Responsible Digital Innovation and Technology Ethics

• Establishing ethical frameworks for technology innovation covering transparency, fairness, privacy, accessibility, accountability, human oversight, inclusion, sustainability, and public interest.

• Assessing social and institutional risks associated with automation, AI, surveillance technologies, biometric systems, predictive models, algorithmic decisions, and digital exclusion.

• Developing responsible innovation processes that incorporate stakeholder engagement, impact assessments, risk reviews, testing, safeguards, monitoring, and mechanisms for correcting unintended consequences.

• Addressing emerging ethical issues involving generative AI, autonomous agents, deepfakes, synthetic identities, algorithmic discrimination, persuasive technologies, digital manipulation, and automated public decisions.

Module 16: Future-Ready Government Technology and Innovation

• Developing integrated technology strategies that connect digital innovation, information systems, data, cybersecurity, infrastructure, workforce capabilities, governance, service delivery, and institutional transformation.

• Establishing technology maturity frameworks covering strategy, architecture, applications, infrastructure, data, security, innovation, workforce, governance, service management, and organisational readiness.

• Preparing public institutions for emerging technologies involving AI agents, autonomous systems, digital twins, quantum technologies, intelligent infrastructure, advanced robotics, and next-generation digital platforms.

• Building future-ready technology environments that are secure, innovative, interoperable, resilient, sustainable, scalable, citizen-focused, financially responsible, and capable of continuous improvement.

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.