Master education in emergencies, safe learning environments, teacher training, and community school advocacy.
Ensuring educational continuity preserves children's futures during crises. This module on Introduction to Artificial Intelligence & Machine Learning covers Education in Emergencies (EiE) design, child safeguarding policies for schools, teacher coaching, and establishing community parent-teacher associations.
This course is designed for field coordinators, project officers, NGO managers, monitoring experts, and students seeking to build a professional career in the global humanitarian and international development sectors.
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Basic understanding of humanitarian assistance and program cycles.
Commitment to ethical conduct and safeguarding principles.
Access to a computer/tablet to review online materials and PDF guides.
Gain a comprehensive understanding of Introduction to Artificial Intelligence & Machine Learning in the humanitarian sector.
Learn to apply international standards (Sphere, CHS) and guidelines to Introduction to Artificial Intelligence & Machine Learning projects.
Acquire practical tools and templates for field-level implementation and monitoring.
Understand risk management, compliance issues, and how to design reporting channels.
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