Format: Live instructor-led online training via Zoom / Microsoft Teams

AI for Humanitarian Professionals Training Course

Course Overview

The AI for Humanitarian Professionals Training Course is designed to equip humanitarian practitioners with practical knowledge and skills to leverage Artificial Intelligence (AI) for improving humanitarian operations, emergency response, disaster risk reduction, humanitarian coordination, and evidence-based decision-making. As humanitarian organizations increasingly rely on digital transformation, AI has become an essential technology for enhancing humanitarian data analysis, crisis prediction, needs assessment, resource optimization, early warning systems, disaster management, humanitarian logistics, refugee assistance, public health response, food security analysis, climate resilience, and humanitarian innovation. This course enables participants to understand AI technologies and responsibly integrate them into humanitarian programming while maintaining ethical standards, transparency, accountability, and data protection.

Participants will gain practical experience in applying Machine Learning, Generative AI, Natural Language Processing (NLP), Computer Vision, Predictive Analytics, Big Data Analytics, Geographic Information Systems (GIS), Remote Sensing, AI-powered decision support systems, chatbots, automation tools, and humanitarian information management platforms. The course emphasizes real-world humanitarian applications including crisis mapping, humanitarian needs forecasting, damage assessment, disease surveillance, beneficiary targeting, social media analytics, operational planning, donor reporting, and emergency coordination. Through practical exercises and case studies, participants will learn to transform humanitarian data into actionable intelligence that improves operational efficiency and humanitarian impact.

The training also explores responsible AI governance, ethical AI implementation, data privacy, algorithmic bias, cybersecurity, humanitarian principles, and international best practices for AI adoption. Participants will develop competencies in selecting appropriate AI tools, integrating AI into humanitarian workflows, evaluating AI-generated outputs, managing digital risks, and supporting organizational digital transformation initiatives. The course demonstrates how AI enhances monitoring and evaluation, humanitarian accountability, logistics management, supply chain optimization, conflict analysis, climate adaptation, and resilience programming.

Upon completion, participants will be able to design AI-enabled humanitarian projects, automate repetitive operational tasks, improve humanitarian planning through predictive intelligence, strengthen emergency preparedness, optimize humanitarian resource allocation, develop AI-supported reporting systems, improve beneficiary engagement, and promote innovation across humanitarian organizations. Graduates will possess the knowledge required to responsibly implement AI solutions that improve efficiency, effectiveness, accountability, and sustainable humanitarian outcomes.

Course Objectives

1. Understand Artificial Intelligence concepts and their relevance to humanitarian action.
2. Apply AI technologies to humanitarian information management and decision-making.
3. Utilize Machine Learning and predictive analytics for disaster preparedness and response.
4. Integrate Generative AI into humanitarian planning, reporting, and communication.
5. Apply AI tools for humanitarian needs assessment and crisis analysis.
6. Strengthen humanitarian operations using AI-powered automation technologies.
7. Promote ethical, transparent, and responsible AI implementation.
8. Improve humanitarian coordination through AI-enabled decision support systems.
9. Enhance organizational innovation and digital transformation.
10. Develop practical AI implementation strategies for humanitarian programs.

Organizational Benefits

1. Improves evidence-based humanitarian decision-making.
2. Enhances emergency preparedness and disaster response.
3. Increases operational efficiency through workflow automation.
4. Strengthens humanitarian information management systems.
5. Improves beneficiary targeting and resource allocation.
6. Supports predictive analytics for humanitarian planning.
7. Enhances organizational innovation and digital transformation.
8. Reduces operational costs through intelligent automation.
9. Strengthens accountability, transparency, and reporting.
10. Improves resilience, collaboration, and humanitarian service delivery.

Target Participants

This course is designed for humanitarian program managers, emergency response coordinators, disaster management professionals, humanitarian information management officers, monitoring and evaluation specialists, data analysts, GIS specialists, public health professionals, humanitarian logisticians, refugee response officers, food security experts, climate resilience practitioners, UN agencies, NGOs, Red Cross and Red Crescent personnel, government disaster management officials, social protection professionals, humanitarian researchers, policy makers, development practitioners, project managers, digital transformation leaders, ICT professionals, innovation officers, and consultants working in humanitarian and development sectors.

Course Outline

Module 1: Introduction to Artificial Intelligence in Humanitarian Action

• Fundamentals of Artificial Intelligence and Machine Learning
• AI applications in humanitarian operations
• Digital transformation in humanitarian organizations
• Humanitarian data ecosystems
• AI opportunities and limitations
• Ethical principles and responsible AI use

General Case Study: Identifying AI opportunities to improve disaster response coordination following a major flood emergency.

Module 2: AI for Humanitarian Data Management and Analysis

• Humanitarian data collection and preparation
• Predictive analytics for humanitarian decision-making
• Natural Language Processing for humanitarian reports
• AI-assisted data visualization and dashboards
• Big Data analytics for crisis management
• AI-powered humanitarian information systems

General Case Study: Using AI to analyze humanitarian needs assessment data for emergency resource prioritization.

Module 3: Generative AI and Humanitarian Decision Support

• Generative AI for report writing
• AI-powered proposal and donor reporting
• Chatbots for humanitarian communication
• AI-assisted knowledge management
• Decision support systems
• Human oversight and validation of AI outputs

General Case Study: Developing AI-assisted humanitarian situation reports during a refugee emergency.

Module 4: AI Applications in Emergency Response and Disaster Risk Reduction

• AI for early warning systems
• Disaster forecasting and predictive modeling
• Computer Vision for damage assessment
• GIS, satellite imagery, and AI integration
• AI in humanitarian logistics and supply chain management
• Resource optimization through AI

General Case Study: Applying AI and satellite imagery to assess post-disaster infrastructure damage.

Module 5: Responsible AI, Governance, and Risk Management

• AI governance frameworks
• Data privacy and cybersecurity
• Algorithmic bias and fairness
• Humanitarian principles in AI implementation
• Risk assessment and mitigation
• Regulatory and compliance considerations

General Case Study: Developing an ethical AI governance framework for a humanitarian organization.

Module 6: Implementing AI in Humanitarian Organizations

• AI project planning and implementation
• Organizational digital transformation strategies
• Capacity building and change management
• Monitoring AI performance and impact
• Emerging AI technologies for humanitarian action
• Future trends and innovation roadmap

General Case Study: Designing an AI implementation strategy to improve humanitarian operations across multiple emergency response programs.

General Information

1. Customized Training: All our courses can be tailored to meet the specific needs of participants.
2. Language Proficiency: Participants should have a good command of the English language.
3. Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
4. Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
5. Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
7. Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
8. Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.
9. Equipment: Tablets and laptops can be provided to participants at an additional cost.
10. Post-Training Support: We offer one year of free consultation and coaching after the course.
11. Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.
12. Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
14. Website: Visit www.fdc-k.org for more information.