Nairobi
Kenya
- Angel Draev
- Ghazi Mabrouk
- Gustavo Fonseca Ribeiro
Intermediate
Event organizer(s)
Description
Inspired by the UNESCO , this course provides an introduction to AI with a focus on its application in the public service. Participants will be guided through the entire process of devising AI-based services in the public sector. Lessons will cover not just the functional aspects of this application but also the governance and ethical aspects of the process to offer a holistic point of view. The content of this course is built on the , formerly supported by the EU and offered by Universidad Politécnica de Madrid and Politecnico di Milano.
With the generous support of the Global Gateway initiative of the European Union, this course is offered for free for selected participants. This includes accommodation, meals, and other organized activities. Participants or their organizations will be responsible for covering their travel expenses to Nairobi, Kenya, and if necessary, visa application costs.
This course is designed for government officials, policymakers, regulators, ICT professionals, experts from national schools of public administration interested in learning about the fundamentals of AI and its use and governance in the public sector.
The number of participants on this course is limited to 30.
Members of the above-mentioned target population are invited to apply for the training if they meet the following criteria:
- Hold an undergraduate degree in a relevant field like public administration, public policy, social sciences, engineering or have a minimum of two years of experience working in or with the public sector on technology policy or public services design, including artificial intelligence.
- Possess a fluent level of English.
- Complete the application questionnaire available on the 麻豆社视频.
Government officials and policymakers from developing countries, particularly women, are encouraged to apply. Selection will be conducted by the course organizers, who will consider the above entry requirements along with an analysis of the application questionnaire of each applicant.
Upon completion of this course, participants will be able to:
- Describe AI systems and identify their core components
- Relate AI systems to present-day use cases in the public sector
- Assess the risks and implications of an AI system
- Develop the concept of an AI-based service in the public sector
Pre-Training Preparation: Participants will receive mandatory and complementary short readings and videos ahead of the training. As this is an intermediate course, they are expected to go over these materials, take notes, and come prepared to apply and build upon the concepts during the sessions.
Training Approach: Participants begin with an introduction to AI and its public sector applications through case studies and interactive lectures. Once foundational concepts—AI, ethical governance, and design thinking—are covered, they will engage in guided activities to apply their learning in practice. Throughout the program participants progressively follow the process of devising an AI-based service in the public sector through groupwork. This groupwork will enable participants to demonstrate their understanding of the subject matter by presenting a public service based on AI and sharing plans on the suggested governance of their service. The course blends theoretical learning with applied practical groupwork. In the end, participants will take a final quiz covering the program’s content and deliver their groupwork final presentation. This will be graded, and feedback provided by the instructors.
Multidisciplinary Collaboration: The learning objectives of this course require participants to engage with content and groupwork that span multiple domains—policy, management, and technical expertise. Given the varied backgrounds of participants, some concepts may feel familiar, while others may present a challenge. This is intentional. The groupwork is designed to mirror the dynamics of real-world, cross-functional teams essential to implementing AI projects. Participants are expected to draw on each other’s strengths, complement gaps in expertise, and practice collaborative problem-solving across disciplines.
- Final Quiz - 40%
- Groupwork and Final Presentation - 60%
A total score of 70% or higher is required to obtain the certificate.
Module 1
- Introduction to AI in the Public Sector
- Key learning outcomes:
- Understand the training structure, methodology, and goals.
- Engage participants and trainers to build group dynamics.
- Discuss the opportunities and challenges of digital transformation in the public sector.
- Define a public sector/policy problem for AI application.
- Detail the benefits and categories of AI use cases in the public sector.
- Identify challenges in procuring or adopting AI tools in public administration.
- Understand the AI project management cycle and role of data.
- Identify metrics for evaluating AI systems.
Module 2
- AI Fundamentals
- Key learning outcomes:
- Define AI systems and describe their core components.
- Classify AI systems (e.g., supervised, unsupervised, reinforcement learning).
- Match AI solutions to relevant public sector problems.
- Explain diverse AI use cases globally.
Module 3
- Public Service Design and AI
- Key learning outcomes:
- Explain design thinking and apply it to AI-enabled public services.
- Understand how design thinking supports ethical AI governance.
- Assess user needs in public service and citizen engagement contexts.
- Translate user needs into product/service requirements.
- Design AI-based services that align with user needs and functional requirements.
Module 4
- AI Governance
- Key learning outcomes:
- Explain ethical, legal, and rights-based challenges of AI in the public sector.
- Inform internal institutional decisions on ethical governance of AI.
- Describe global standards and regulatory approaches for AI governance.
- Analyze governance frameworks and determine which tools suit which contexts.
- Consolidate group AI-based public service ideas from ideation to development.
Module 5
- Developing an AI-Based Service in the Public Sector
- Key learning outcomes:
- Conduct ethical impact assessments for AI in public service.
- Finalize development and consolidation of AI-based public service proposals.
- Present, evaluate, and receive feedback on AI-based service designs.
- Complete a final theoretical quiz and evaluate the course learning experience.
Registration information
Unless specified otherwise, all 麻豆社视频 training courses are open to all interested professionals, irrespective of their race, ethnicity, age, gender, religion, economic status and other diverse backgrounds. We strongly encourage registrations from female participants, and participants from developing countries. This includes least developed countries, small island developing states and landlocked developing countries.