
Development Data
Course Listing

Generative AI and LLMs: An Introduction
The emergence of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) has revolutionized the field of natural language processing. This introductory course aims to demystify generative AI and LLMs for both technical and non-technical audiences working with statistical and other types of data in development work. It will provide a comprehensive overview of the foundational knowledge required to understand LLMs, core concepts in generative AI, and recipes and suggestions on practical applications of generative AI in different stages of statistical work.
- Training course / In-person
- 40 hours
- Development DataDigital

Using Alternative Data to Assess Immediate Socio-Economic Impacts of Crises, Conflicts and Natural Disasters
This cutting-edge course will train participants to use alternative data sources to monitor the immediate socio-economic impacts of conflicts and natural disasters. Participants will engage in a learning journey that begins with a refresher on essential coding skills and progresses through the exploration of both open-source and proprietary data. Through hands-on exercises, students will learn to extract and interpret key trends in the wake of disaster scenarios, such as using nighttime lights for power outage analysis and social media data for insights into internet connectivity.
- Training course / In-person
- 40 hours
- Development DataPlanetInfrastructure

Streamline Survey Cycles with Survey Solutions
This course is designed to provide an overview of all relevant topics for using the Survey Solutions platform for design, including: implementing and managing surveys; designing a computer-assisted personal or telephone interviewing (CAPI/CATI) app and preparing the server; creating survey assignments; monitoring survey progress; and reacting to incoming interviews, among others.
- Training course / In-person
- 40 hours
- Development DataDigital

Enhancing FCV Operations with Geospatial ICT Tools
This self-paced course has been designed to introduce three types of geospatial ICT tools that can be utilized in an FCV setting: remote sensing, drones, and mobile phones. Each module contains an introductory video (or videos), interactive content, and a deeper dive into specific case studies.
- Training course / E-learning
- 4 hours
- Development DataDigital