Course Introduction

The Public Sector Technology Management and Digital Innovation Training Course provides an advanced framework for managing government technology portfolios, strengthening digital capabilities, and translating emerging technologies into practical public-sector innovation. It equips government executives, ICT directors, digital-transformation leaders, technology managers, innovation specialists, programme managers, and institutional-reform professionals with the strategic and operational skills required to manage technology as a core component of modern public administration.

Effective public-sector technology management extends beyond maintaining IT infrastructure. Government institutions must align technology investments with strategic priorities, manage applications and infrastructure throughout their lifecycles, maintain reliable digital services, control technology risks, manage suppliers, strengthen cybersecurity, and ensure that technology investments produce measurable organizational and public-service benefits. Participants will examine technology governance, portfolio management, enterprise architecture, service management, investment planning, technology standards, lifecycle management, and performance measurement.

The course also treats digital innovation as a structured institutional capability. Participants will learn how to identify emerging technology opportunities, assess technology maturity, evaluate use cases, conduct experiments, develop innovation portfolios, establish pilot projects, manage risks, and scale successful solutions. Emphasis is placed on selecting technologies according to genuine public-sector problems, institutional readiness, user needs, affordability, interoperability, sustainability, and measurable public value.

Participants will explore the management of emerging technologies including artificial intelligence, generative AI, robotic process automation, cloud computing, predictive analytics, digital twins, low-code platforms, Internet of Things technologies, digital identity, geospatial systems, and intelligent information platforms. The programme addresses both the opportunities and governance challenges associated with these technologies, including cybersecurity, privacy, algorithmic bias, transparency, explainability, digital inclusion, workforce transformation, vendor dependency, and responsible innovation.

Strong technology management also requires effective procurement, supplier relationships, architecture, data governance, cybersecurity, business continuity, workforce capability, and organizational change. Participants will therefore develop integrated approaches for managing technology ecosystems rather than isolated technology projects. The course connects strategic technology planning with implementation, operations, innovation, performance, risk, and continuous improvement.

By the end of the programme, participants will be able to establish effective technology-management frameworks, govern digital portfolios, assess emerging technologies, develop innovation strategies, manage technology investments, strengthen supplier performance, oversee implementation, and measure technology outcomes. The course supports public institutions in building resilient, secure, innovative, and sustainable technology environments capable of continuously adapting to changing public-sector requirements.

Duration

10 days

Who Should Attend

• Government ministers, permanent secretaries, directors, and senior public administrators.

• Chief information officers and government ICT directors.

• Heads of technology, information systems, digital services, and innovation.

• Government technology and digital-transformation managers.

• Enterprise architects, systems analysts, infrastructure managers, and technology specialists.

• Digital programme, project, and portfolio managers.

• Innovation-lab and emerging-technology specialists.

• Data, artificial intelligence, analytics, automation, and information-management professionals.

• Cybersecurity, privacy, information-security, and technology-risk specialists.

• Procurement and contract managers responsible for technology investments.

• Internal audit, governance, compliance, and risk professionals.

• Consultants, advisers, development practitioners, and technical experts supporting public-sector technology modernization.

Course Objectives

• Develop advanced capabilities for strategically managing public-sector technology portfolios, digital infrastructure, applications, services, investments, suppliers, risks, and innovation initiatives.

• Align technology-management strategies with government mandates, institutional priorities, operational requirements, citizen needs, development objectives, and measurable public value.

• Assess technology maturity and organizational capability across governance, infrastructure, applications, data, cybersecurity, workforce, service management, innovation, and institutional readiness.

• Establish technology portfolios that balance operational stability, modernization, innovation, risk reduction, service improvement, and strategic transformation.

• Apply enterprise-architecture principles to align business capabilities, processes, applications, information, technology infrastructure, integration, and security.

• Develop technology lifecycle-management approaches covering acquisition, implementation, operation, maintenance, modernization, optimization, replacement, and retirement.

• Establish structured digital-innovation frameworks for technology scanning, opportunity identification, use-case evaluation, experimentation, piloting, scaling, and benefits realization.

• Evaluate artificial intelligence, automation, cloud computing, predictive analytics, digital twins, low-code platforms, IoT, digital identity, and other emerging technologies for government applications.

• Strengthen technology procurement, supplier management, contract governance, service-level management, licensing, technology risk, and vendor-dependency controls.

• Integrate cybersecurity, privacy, data governance, resilience, business continuity, and responsible-technology principles into technology management and innovation.

• Establish performance frameworks measuring technology reliability, investment value, service quality, innovation outcomes, operational efficiency, adoption, and public-sector impact.

• Build sustainable technology capabilities through digital leadership, workforce development, innovation culture, multidisciplinary collaboration, continuous learning, and institutional knowledge management.

Comprehensive Course Outline

Module 1: Foundations of Public Sector Technology Management

• Examine the strategic role of technology management in modern public administration, digital government, institutional modernization, and public-service delivery.

• Analyse the relationship between technology strategy, government priorities, operational performance, digital services, information, workforce capability, and public value.

• Identify common technology-management challenges including fragmented systems, legacy infrastructure, technology debt, weak governance, duplication, limited skills, and poor investment alignment.

• Explore emerging developments involving intelligent government, digital public infrastructure, government platforms, AI-enabled operations, and technology-driven institutional transformation.

Module 2: Technology Strategy and Digital Maturity

• Develop technology strategies aligned with institutional mandates, government priorities, service requirements, operational needs, technology capabilities, and available resources.

• Assess digital and technology maturity across governance, architecture, applications, infrastructure, data, cybersecurity, workforce, service management, and innovation.

• Identify technology gaps, capability weaknesses, modernization opportunities, investment priorities, and institutional risks.

• Explore emerging assessment approaches involving technology-radar analysis, AI-assisted maturity assessments, benchmarking, scenario planning, and digital capability analytics.

Module 3: Technology Governance and Operating Models

• Establish technology-governance structures defining decision rights, accountability, investment authority, architecture standards, security responsibilities, service ownership, and risk management.

• Develop technology operating models that connect strategic leadership, ICT operations, digital services, data management, cybersecurity, procurement, innovation, and institutional functions.

• Establish technology committees, portfolio boards, architecture review structures, risk forums, and service-management arrangements.

• Explore emerging governance models involving product-centric government, platform governance, federated ICT models, adaptive technology operating structures, and AI-assisted governance.

Module 4: Technology Portfolio and Investment Management

• Develop technology portfolios covering applications, infrastructure, digital platforms, cloud services, cybersecurity solutions, data systems, innovation projects, and technology services.

• Prioritize investments according to strategic alignment, operational importance, user impact, cost, risk, technology maturity, lifecycle requirements, and expected benefits.

• Identify opportunities to consolidate duplicate systems, retire obsolete technology, modernize legacy platforms, and increase reuse of shared technology capabilities.

• Explore emerging investment approaches involving dynamic technology portfolios, outcome-based investment, shared platforms, technology-as-a-service, and AI-assisted investment prioritization.

Module 5: Enterprise Architecture and Technology Standards

• Develop enterprise-architecture frameworks connecting business capabilities, processes, applications, information, infrastructure, technology services, security, and strategic objectives.

• Establish architecture standards covering interoperability, APIs, data structures, security, scalability, technology selection, integration, reusability, and lifecycle management.

• Assess architecture risks involving legacy systems, technical debt, fragmented platforms, proprietary dependencies, duplicated functionality, and weak integration.

• Explore emerging architectures involving cloud-native systems, microservices, event-driven architecture, composable platforms, edge computing, and government digital public infrastructure.

Module 6: Technology Lifecycle and Asset Management

• Establish lifecycle-management frameworks covering technology acquisition, implementation, operation, maintenance, modernization, optimization, replacement, and retirement.

• Manage technology assets through accurate inventories, ownership, configuration records, licensing, support requirements, lifecycle status, risks, and financial information.

• Develop technology-modernization plans that address obsolescence, technical debt, security vulnerabilities, support limitations, performance issues, and changing service requirements.

• Explore emerging lifecycle approaches involving automated asset discovery, predictive maintenance, cloud migration, infrastructure automation, software composition analysis, and AI-assisted technology optimization.

Module 7: Cloud Computing and Infrastructure Management

• Evaluate cloud-computing models for government applications, infrastructure, storage, databases, analytics, collaboration, and digital services.

• Develop cloud strategies addressing security, privacy, resilience, cost management, interoperability, portability, vendor dependency, performance, and data governance.

• Establish infrastructure-management practices covering capacity, availability, performance, monitoring, backup, redundancy, disaster recovery, and service continuity.

• Explore emerging infrastructure technologies involving hybrid cloud, multi-cloud, cloud-native systems, containers, serverless platforms, edge computing, and infrastructure as code.

Module 8: Technology Procurement and Supplier Management

• Develop procurement strategies for software, hardware, cloud services, digital platforms, AI solutions, cybersecurity technologies, infrastructure, consulting, and managed services.

• Establish evaluation criteria covering functionality, security, interoperability, scalability, innovation, implementation capability, support, sustainability, and total lifecycle cost.

• Manage technology contracts through service-level agreements, performance monitoring, licensing, change control, supplier-risk management, intellectual property, and benefits realization.

• Explore emerging procurement models involving agile contracting, outcome-based procurement, innovation partnerships, technology marketplaces, and shared-service arrangements.

Module 9: Digital Innovation Strategy and Opportunity Identification

• Develop structured digital-innovation strategies that connect emerging technologies with government challenges, strategic priorities, service requirements, and measurable public value.

• Establish technology-scanning processes for identifying developments in AI, automation, cloud computing, analytics, digital identity, IoT, geospatial technologies, and other emerging areas.

• Evaluate innovation opportunities according to strategic relevance, technical feasibility, organizational readiness, affordability, scalability, risk, and expected benefits.

• Explore emerging innovation approaches involving technology radars, AI-assisted opportunity discovery, horizon scanning, futures analysis, scenario planning, and innovation intelligence.

Module 10: Emerging Technologies and Responsible Innovation

• Examine artificial intelligence, generative AI, machine learning, robotic process automation, predictive analytics, digital twins, low-code platforms, IoT, and intelligent information systems.

• Identify practical government applications for emerging technologies based on service needs, operational challenges, data availability, technical feasibility, and institutional capability.

• Establish responsible-innovation frameworks covering human oversight, explainability, transparency, bias management, privacy, cybersecurity, accessibility, accountability, and public trust.

• Explore emerging developments involving AI agents, multimodal AI, autonomous workflows, synthetic data, intelligent decision support, and adaptive government platforms.

Module 11: Technology Experimentation, Pilots and Scaling

• Design technology experiments and pilots with clear problems, hypotheses, objectives, users, resources, governance arrangements, risks, timelines, and success measures.

• Apply prototypes, proofs of concept, sandboxes, controlled pilots, usability testing, and iterative experimentation to validate technology solutions.

• Establish pilot-evaluation frameworks measuring technical performance, user adoption, operational impact, costs, risks, scalability, sustainability, and public value.

• Develop scaling strategies that transition successful innovations into sustainable operational services with appropriate funding, governance, infrastructure, skills, security, and support.

• Explore emerging experimentation approaches involving AI sandboxes, digital twins, simulation environments, synthetic data, automated testing, and intelligent experimentation platforms.

Module 12: Cybersecurity, Privacy and Technology Risk

• Establish cybersecurity frameworks protecting government technology assets, applications, infrastructure, networks, identities, cloud environments, data, APIs, and digital services.

• Apply privacy-by-design principles to technology procurement, architecture, data processing, AI applications, information sharing, analytics, and service delivery.

• Develop technology-risk registers covering cyber threats, system failure, technology obsolescence, vendor dependency, data loss, integration failure, implementation risks, and service disruption.

• Explore emerging risks involving AI-enabled attacks, model manipulation, deepfakes, zero-trust environments, software supply chains, cloud vulnerabilities, identity threats, and automated cyberattacks.

Module 13: Data, Information and Technology Management

• Establish data-governance structures defining data ownership, stewardship, quality, access, classification, privacy, sharing, retention, and accountability.

• Improve technology-enabled information management through metadata, master-data management, information architecture, data standards, records management, and secure information exchange.

• Assess the relationship between data quality and technology performance, analytics, automation, AI, decision-making, and digital-service reliability.

• Explore emerging data technologies involving data fabrics, knowledge graphs, data spaces, real-time analytics, synthetic data, intelligent search, and AI-enabled information management.

Module 14: Technology Service Management and Operational Performance

• Establish service-management processes covering service catalogues, service levels, incidents, problems, changes, releases, configuration, capacity, availability, and continuity.

• Develop operational performance indicators covering system availability, reliability, response times, incidents, resolution rates, user satisfaction, costs, capacity, and service quality.

• Establish monitoring and reporting mechanisms that provide technology leaders with timely information about operational performance, risks, bottlenecks, and improvement opportunities.

• Explore emerging operational technologies involving AIOps, predictive monitoring, automated remediation, intelligent service desks, anomaly detection, and AI-supported root-cause analysis.

Module 15: Digital Workforce, Innovation Culture and Change

• Assess workforce capabilities required for technology management, digital innovation, AI adoption, cybersecurity, data management, service operations, architecture, and emerging technology governance.

• Develop workforce-development programmes covering digital leadership, technology management, data literacy, cybersecurity, AI awareness, innovation methods, and continuous learning.

• Apply change-management approaches to address resistance, technology adoption, changing responsibilities, organizational culture, communication, and stakeholder engagement.

• Explore emerging workforce models involving AI augmentation, human-machine collaboration, digital operations teams, innovation communities, technology centres of excellence, and future public-sector skills.

Module 16: Advanced Technology Management and Innovation Transformation Roadmap

• Integrate technology strategy, governance, enterprise architecture, investment management, lifecycle management, procurement, cloud, cybersecurity, data, service management, innovation, and workforce development.

• Develop comprehensive technology-management roadmaps defining modernization priorities, innovation initiatives, investment stages, resources, dependencies, risks, governance, and measurable benefits.

• Establish sustainable technology operating models that balance reliable operations with innovation, modernization, experimentation, continuous improvement, and responsible technology adoption.

• Prepare government institutions for future environments involving AI-enabled technology management, autonomous operations, predictive infrastructure, intelligent service platforms, real-time technology analytics, and continuously evolving digital ecosystems.

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.