Generative AI for Public Administration Training Course

Generative AI for Public Administration Training Course

Introduction

Generative AI for Public Administration Training Course is designed to equip public-sector professionals with practical knowledge and strategic capabilities to leverage Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), prompt engineering, intelligent automation, data analytics, and digital transformation in government environments. As public institutions accelerate e-government, digital public services, citizen-centric governance, smart administration, and evidence-based decision-making, Generative AI can support faster document processing, policy research, service delivery, knowledge management, communication, reporting, and administrative workflows. This course provides participants with a structured understanding of how AI technologies can be adopted responsibly while maintaining transparency, accountability, privacy, security, accessibility, and public trust.

Participants will explore practical applications of Generative AI across policy development, public-service delivery, records management, procurement, human resources, communications, regulatory administration, research, and executive decision support. Through practical exercises, simulations, demonstrations, and public-sector case studies, learners will develop the ability to identify suitable AI use cases, create effective prompts, evaluate AI-generated outputs, manage risks, and design responsible AI-enabled workflows. The course emphasizes AI governance, ethical AI, responsible innovation, human oversight, data protection, algorithmic accountability, change management, and AI readiness, enabling public administration professionals to use Generative AI as a productivity and transformation tool while preserving institutional standards and public confidence.

Course Duration

5 days

Course Objectives

By the end of the course, participants will be able to:

1. Understand Generative AI, Large Language Models (LLMs), foundation models, and AI-enabled public administration. 
2. Apply prompt engineering techniques to produce accurate, relevant, and context-aware outputs. 
3. Identify high-value Generative AI use cases across government departments and public institutions. 
4. Improve administrative productivity and workflow automation using AI-enabled tools. 
5. Use AI for policy research, briefing notes, reports, summaries, and evidence synthesis. 
6. Apply Generative AI to citizen engagement, public communication, and service delivery. 
7. Strengthen AI-assisted data analysis, knowledge management, and institutional intelligence. 
8. Evaluate AI outputs for accuracy, hallucinations, bias, reliability, and contextual relevance. 
9. Understand AI ethics, responsible AI, transparency, accountability, and human oversight. 
10. Apply data privacy, cybersecurity, confidentiality, and information governance principles when using AI. 
11. Develop AI governance frameworks, policies, controls, and responsible-use guidelines for public institutions. 
12. Design practical AI transformation roadmaps and implementation strategies for government organizations. 
13. Build organizational AI literacy, change-management capabilities, and future-ready public-sector skills. 

Target Audience

1. Government executives and senior public administrators 
2. Civil servants and government officers 
3. Policy analysts and policy-development professionals 
4. Local government and municipal administrators 
5. Public-sector managers and department heads 
6. Digital transformation and ICT professionals in government 
7. Public-service, regulatory, and administrative officers 
8. Government project managers, trainers, and organizational development professionals 

Course Modules

Module 1: Foundations of Generative AI in Public Administration

• Introduction to Generative AI, LLMs, foundation models, and multimodal AI
• AI trends shaping modern digital government and public services
• Generative AI versus traditional automation and predictive AI 
• Opportunities and limitations of AI in government environments 
• Case Study: Evaluating how a government department could introduce an AI assistant for internal administrative support 

Module 2: Prompt Engineering for Government Professionals

• Principles of effective prompt engineering
• Role, context, task, constraints, and output-format prompting 
• Advanced prompting for reports, correspondence, research, and analysis 
• Prompt refinement, validation, and reusable prompt libraries 
• Case Study: Developing prompts to transform lengthy policy documents into executive briefing notes 

Module 3: AI for Policy Research and Decision Support

• AI-assisted policy research and evidence synthesis
• Generating policy briefs, executive summaries, and briefing documents 
• Comparing policy options and organizing research findings 
• Using AI to identify themes, trends, risks, and stakeholder perspectives 
• Case Study: Using Generative AI to organize evidence for a proposed public-sector policy initiative 

Module 4: AI-Powered Public Service Delivery

• Generative AI for citizen services and service personalization
• AI-assisted FAQs, knowledge bases, and information services 
• Drafting citizen communications and service explanations 
• Supporting multilingual and accessible public communication 
• Case Study: Designing an AI-enabled citizen information assistant for a municipal service department 

Module 5: AI for Administrative Productivity and Automation

• Automating repetitive administrative workflows
• AI-assisted correspondence, minutes, reports, and document drafting 
• Meeting summarization and action-item generation 
• Intelligent document classification and knowledge retrieval 
• Case Study: Redesigning an administrative workflow to reduce repetitive document-processing activities 

Module 6: Responsible AI, Ethics, Privacy and Governance

• Responsible AI and ethical AI principles for government 
• Bias, fairness, transparency, explainability, and accountability 
• AI hallucinations, misinformation, and output verification 
• Data protection, confidentiality, cybersecurity, and human oversight 
• Case Study: Assessing the risks of deploying an AI tool that processes sensitive public-sector information 

Module 7: AI Strategy, Change Management and Implementation

• Developing a Generative AI strategy for public institutions 
• AI readiness assessment and use-case prioritization 
• Change management, workforce adoption, and AI literacy 
• AI governance structures, policies, standards, and controls 
• Case Study: Creating an AI adoption roadmap for a government department transitioning to digital-first administration 

Module 8: Future of AI-Enabled Public Administration

• AI agents, intelligent automation, and autonomous workflows 
• Emerging multimodal AI and government knowledge systems 
• AI-powered decision intelligence and institutional knowledge management 
• Measuring AI value, productivity, service quality, and organizational impact 
• Case Study: Designing a future-ready AI-enabled public administration model combining human expertise with intelligent digital services 

Training Methodology

• Interactive lectures and presentations.
• Group discussions and brainstorming sessions.
• Hands-on exercises using real-world datasets.
• Role-playing and scenario-based simulations.
• Analysis of case studies to bridge theory and practice.
• Peer-to-peer learning and networking.
• Expert-led Q&A sessions.
• Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.