Course Introduction

The Public Sector Talent Management and Workforce Development Training Course provides an advanced framework for attracting, developing, engaging, retaining, and strategically deploying talent across government institutions. It equips HR professionals, managers, and workforce leaders with practical approaches for building capable public-sector teams aligned with institutional priorities, service-delivery requirements, and changing workforce needs.

Talent management in government requires a systematic approach to identifying critical capabilities, strengthening employee potential, developing leadership pipelines, retaining scarce skills, and ensuring that the right people are available for priority functions. Participants will examine talent identification, competency frameworks, career pathways, high-potential development, succession planning, workforce segmentation, mobility, and strategic deployment.

The programme places strong emphasis on workforce development as a continuous organizational responsibility. Participants will learn how to conduct skills-gap assessments, develop competency-based learning strategies, establish professional development pathways, evaluate training impact, support knowledge transfer, and create environments that encourage continuous learning. These approaches help public institutions maintain relevant capabilities as technology, citizen expectations, and service-delivery models evolve.

Effective talent management also depends on employee engagement, performance, leadership, and organizational culture. The course explores performance development, coaching, mentoring, employee recognition, career management, leadership development, workforce inclusion, employee experience, and retention strategies. Participants will learn how to connect individual development with institutional performance while creating stronger opportunities for professional growth.

Digital transformation is reshaping workforce development through HR information systems, talent analytics, digital learning platforms, skills inventories, artificial intelligence, personalized learning, employee self-service, and predictive workforce planning. Emerging issues such as AI-enabled talent decisions, algorithmic bias, digital skills shortages, hybrid work, workforce resilience, knowledge preservation, and future-of-work capabilities are integrated into the programme.

The course is designed to deliver measurable improvements in workforce capability, employee performance, talent retention, leadership succession, learning effectiveness, employee engagement, and institutional resilience. Participants will develop practical talent and workforce-development strategies that help government organizations build skilled, motivated, adaptable, and future-ready employees capable of delivering sustained public value.

Duration

10 days

Who Should Attend

• Government human resource managers, HR officers, personnel officers, and heads of HR departments.

• Talent-management, workforce-development, learning-and-development, and organizational-development specialists.

• Workforce planning, succession planning, career development, and competency-management professionals.

• Government managers and departmental heads responsible for employee capability and workforce performance.

• Recruitment, staffing, employee engagement, performance-management, and retention specialists.

• Training managers, learning coordinators, instructional designers, and public-sector capacity-development professionals.

• Leadership-development, coaching, mentoring, and high-potential employee programme managers.

• HR analytics, HR information systems, digital-transformation, and workforce-intelligence professionals.

• Public-service commissioners, establishment officers, workforce-reform specialists, and institutional-development professionals.

• Employee-relations, organizational-culture, inclusion, wellbeing, and workplace-experience professionals.

• Local government HR and workforce-development officers.

• Consultants, advisers, development practitioners, and public-sector professionals involved in talent and capability transformation.

Course Objectives

• Develop advanced capabilities for designing and implementing integrated talent-management and workforce-development systems within public-sector institutions.

• Identify critical roles, scarce capabilities, high-potential employees, emerging skills, leadership requirements, and workforce risks affecting institutional performance.

• Develop competency frameworks that support recruitment, career development, performance management, learning, succession, mobility, and strategic workforce planning.

• Apply workforce skills-gap analysis to identify current capability shortages and anticipate future competencies required for changing public-service environments.

• Design structured career-development pathways that connect employee aspirations, professional competencies, learning opportunities, mobility, and institutional workforce requirements.

• Strengthen leadership and succession systems through talent identification, development programmes, mentoring, coaching, career planning, and critical-role succession strategies.

• Develop effective learning and workforce-development programmes that address technical, managerial, digital, behavioural, leadership, and future-oriented skills.

• Improve employee engagement and retention through meaningful career opportunities, recognition, development, leadership, communication, and positive workplace experiences.

• Apply talent analytics to identify turnover risks, capability gaps, workforce trends, succession vulnerabilities, learning priorities, and talent-utilization opportunities.

• Use digital learning platforms, HR information systems, skills databases, talent dashboards, artificial intelligence, and predictive workforce technologies responsibly.

• Strengthen organizational knowledge management through mentoring, knowledge transfer, communities of practice, documentation, succession planning, and institutional memory.

• Develop comprehensive talent and workforce-development strategies that improve capability, productivity, leadership continuity, employee experience, resilience, and public-service outcomes.

Comprehensive Course Outline

Module 1: Foundations of Public-Sector Talent Management

• Examine the strategic role of talent management in building capable, ethical, innovative, productive, and citizen-focused government institutions.

• Analyse the relationship between talent strategy, workforce planning, employee performance, service delivery, organizational capability, and public-sector outcomes.

• Examine public-sector talent principles including merit, fairness, transparency, equal opportunity, accountability, professional development, and responsible workforce management.

• Explore emerging talent challenges involving demographic shifts, scarce skills, digital transformation, generational expectations, AI adoption, and changing public-service workforce models.

Module 2: Strategic Workforce Planning and Talent Forecasting

• Develop workforce plans that connect institutional priorities, staffing requirements, skills, budgets, service demands, organizational structures, and future workforce needs.

• Conduct talent forecasting to identify emerging skills, critical positions, retirement risks, turnover exposure, leadership gaps, and workforce-capability requirements.

• Develop workforce scenarios that assess alternative staffing models, technological changes, organizational restructuring, outsourcing considerations, and changing service-delivery demands.

• Explore emerging workforce-planning technologies involving predictive analytics, AI-assisted forecasting, scenario modelling, workforce digital twins, and real-time talent intelligence.

Module 3: Competency Frameworks and Skills Architecture

• Develop competency frameworks covering technical, professional, managerial, leadership, behavioural, digital, and future-oriented capabilities required across public institutions.

• Map competencies to job families, grades, roles, career pathways, recruitment standards, performance expectations, learning programmes, and succession requirements.

• Conduct skills inventories and capability assessments to identify strengths, gaps, critical dependencies, and opportunities for targeted workforce development.

• Explore emerging skills-architecture approaches involving skills taxonomies, competency analytics, digital skills passports, AI-enabled skills mapping, and dynamic workforce profiles.

Module 4: Talent Identification and High-Potential Development

• Establish objective approaches for identifying high-potential employees using performance evidence, competencies, leadership behaviours, capability indicators, and future-role readiness.

• Develop high-potential talent programmes incorporating development assignments, coaching, mentoring, leadership exposure, strategic projects, and targeted learning.

• Manage talent pools transparently while maintaining fairness, confidentiality, equal opportunity, documented criteria, and appropriate governance.

• Explore emerging talent-identification practices involving predictive analytics, AI-supported assessment, skills intelligence, potential modelling, and human-supervised talent decisions.

Module 5: Career Development and Internal Mobility

• Develop career frameworks that provide employees with transparent pathways for professional growth, advancement, specialization, leadership, and cross-functional development.

• Establish internal mobility mechanisms covering transfers, rotations, temporary assignments, project opportunities, secondments, career transitions, and skills-based deployment.

• Align career development with organizational needs so that employee aspirations and institutional capability requirements reinforce each other.

• Explore emerging career-management models involving internal talent marketplaces, skills-based mobility, AI career recommendations, digital career pathways, and personalized development plans.

Module 6: Learning and Workforce Development Strategy

• Conduct learning-needs assessments that identify technical, managerial, leadership, digital, behavioural, compliance, and future-capability requirements.

• Develop workforce-development strategies that connect learning priorities with institutional objectives, job competencies, performance gaps, career pathways, and service-delivery requirements.

• Design blended learning programmes using classroom instruction, digital learning, coaching, mentoring, experiential learning, communities of practice, and workplace assignments.

• Explore emerging learning technologies involving adaptive learning, AI tutors, learning analytics, microlearning, immersive training, skills platforms, and personalized learning systems.

Module 7: Leadership Development and Succession Planning

• Identify critical leadership positions and develop succession frameworks that reduce institutional vulnerability caused by retirements, turnover, vacancies, and scarce leadership capabilities.

• Establish leadership-development pathways covering strategic thinking, decision-making, communication, ethics, change leadership, people management, innovation, and public-service leadership.

• Develop succession plans using readiness assessments, development actions, talent pools, emergency successors, knowledge transfer, and structured review processes.

• Explore emerging succession approaches involving predictive talent analytics, leadership simulations, AI-supported development, digital mentoring, and dynamic succession planning.

Module 8: Performance Development and Talent Optimization

• Integrate performance management with talent development by connecting individual objectives, competencies, learning plans, career aspirations, and organizational priorities.

• Establish continuous performance-development practices involving coaching, feedback, goal setting, development discussions, performance reviews, and improvement planning.

• Identify opportunities to optimize talent deployment by matching employee capabilities, experience, skills, and potential with priority functions and institutional requirements.

• Explore emerging performance technologies involving continuous feedback platforms, workforce analytics, AI-supported coaching, productivity insights, and intelligent talent dashboards.

Module 9: Employee Engagement, Retention and Workforce Experience

• Develop employee-engagement strategies that strengthen organizational commitment, leadership trust, recognition, communication, participation, collaboration, and public-service motivation.

• Identify retention risks involving limited career opportunities, skills shortages, weak management, workload pressures, compensation concerns, organizational culture, and changing workforce expectations.

• Establish employee-experience mechanisms using surveys, listening systems, feedback channels, engagement indicators, career discussions, and targeted management interventions.

• Explore emerging workforce-experience issues involving hybrid work, digital employee experience, flexible working, AI-enabled support, changing expectations, and workforce wellbeing.

Module 10: Knowledge Management and Institutional Capability

• Establish knowledge-management systems that capture critical expertise, institutional history, procedures, lessons learned, professional practices, and operational knowledge.

• Develop knowledge-transfer mechanisms involving mentoring, coaching, communities of practice, job shadowing, documentation, succession preparation, and expert networks.

• Identify knowledge-loss risks associated with retirement, turnover, organizational restructuring, scarce specialists, and insufficient documentation of critical processes.

• Explore emerging knowledge-management technologies involving AI knowledge assistants, enterprise search, intelligent repositories, automated knowledge capture, and organizational learning analytics.

Module 11: Talent Analytics and Workforce Intelligence

• Develop talent dashboards covering skills, vacancies, turnover, performance, learning, succession, career progression, engagement, workforce costs, and critical-role exposure.

• Apply workforce analytics to identify capability gaps, retention risks, talent shortages, development priorities, productivity issues, and succession vulnerabilities.

• Convert talent data into actionable intelligence that supports workforce planning, recruitment, development investment, leadership decisions, and organizational restructuring.

• Explore emerging workforce-intelligence technologies involving predictive analytics, machine learning, AI-generated insights, skills forecasting, network analysis, and talent-risk modelling.

Module 12: Digital Talent Management and HR Technology

• Examine HR information systems supporting talent profiles, competency management, recruitment, learning, performance, career development, succession, and workforce reporting.

• Design digital talent workflows that improve employee access, manager visibility, development planning, approvals, learning administration, and workforce decision-making.

• Establish governance controls for talent data covering privacy, security, access, accuracy, interoperability, retention, responsible analytics, and appropriate use of employee information.

• Explore emerging technologies involving generative AI, robotic process automation, digital talent assistants, AI learning platforms, skills intelligence, and intelligent employee-service systems.

Module 13: Diversity, Inclusion and Equal Talent Opportunities

• Develop talent-management approaches that promote fair access to recruitment, development, career opportunities, leadership programmes, mobility, recognition, and succession pathways.

• Identify structural and behavioural barriers that may restrict talent development, including biased processes, unequal access, workplace culture, inconsistent assessment, and limited career visibility.

• Establish monitoring mechanisms that assess fairness, participation, development access, career progression, employee experience, and inclusion outcomes without compromising employee privacy.

• Explore emerging inclusion issues involving algorithmic bias, AI-supported talent decisions, accessibility technologies, remote work, workforce diversity, and responsible talent analytics.

Module 14: Workforce Resilience and Future Skills Development

• Identify future capabilities required to maintain public-service effectiveness amid technological change, demographic shifts, climate pressures, evolving citizen expectations, and institutional transformation.

• Develop workforce-resilience strategies covering critical skills, cross-training, succession, knowledge transfer, flexible deployment, continuity planning, and capability diversification.

• Establish future-skills programmes covering digital literacy, data analysis, AI awareness, cybersecurity, innovation, problem-solving, leadership, adaptability, and strategic thinking.

• Explore emerging workforce issues involving automation, AI augmentation, new job roles, digital public services, climate-related workforce changes, and evolving professional competencies.

Module 15: Talent Governance, Ethics and Risk Management

• Establish governance frameworks for talent identification, development, promotion, succession, career mobility, learning investment, workforce data, and talent-related decision-making.

• Identify talent-management risks involving favoritism, conflicts of interest, discrimination, confidentiality breaches, inaccurate assessments, poor succession planning, and weak development controls.

• Strengthen ethical talent practices through transparent criteria, documented decisions, accountability, equal opportunity, confidentiality, professional standards, and appropriate oversight.

• Explore emerging governance risks involving AI-driven recommendations, algorithmic bias, employee surveillance, automated profiling, predictive decisions, and misuse of workforce data.

Module 16: Advanced Talent and Workforce Development Transformation

• Integrate talent strategy, workforce planning, competency management, career development, learning, leadership, succession, engagement, analytics, technology, and organizational capability.

• Develop talent-transformation roadmaps with measurable targets for skills, leadership pipelines, employee retention, workforce productivity, learning impact, engagement, and institutional resilience.

• Establish continuous-improvement systems using employee feedback, workforce data, performance reviews, skills assessments, organizational lessons, leadership insights, and emerging technologies.

• Prepare for emerging workforce models involving skills-based organizations, AI-enabled talent management, internal talent marketplaces, predictive workforce planning, and intelligent public-service workforce systems.

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.