TRAINING & SKILLS DEVELOPMENT
One training mission. Three places you'll find it.
Local talent produces the local data that builds local resilience — and gains employable skills doing it. That idea runs through Industrial Training in the field, through the Climate Risk Database, and through open courses online, not through one single course.
Training is not one programme
Across Resilience Academy, training is not a single course — it is a mission that shows up wherever people learn by producing something real. Ask where the training happens, and the honest answer is: in the field, in the data, and online — three different doors into the same standard.
HOW IT CONNECTS
Where training lives across Resilience Academy
STUDENTS · APPRENTICESHIP
Learning by doing, in the field through industrial training program
Every year since 2019, 150–200 students spend five to eight weeks in an apprenticeship: a week of classroom training in data and tools, then real fieldwork collecting data based on a real client's needs. They leave with hands-on experience, a portfolio of real deliverables, and the confidence to work with data in the field from day one.
More about Placements →DATA MANAGERS · OFFICIALS
Training related to the use of data, not just collect it
We provide geospatial data training built around the Climate Risk Database, the shared foundation for all our courses. Data managers learn to quality-check and publish data to a consistent standard. Officials take the Executive Course, a short briefing on what the database is, how to access it, and how to use it in real planning decisions.
More about the Data →UNIVERSITY STUDENTS · STAFF
Open online courses for students and experts across academia and government.
Self-paced courses across several themes run openly to students and experts alike, and can be embedded for credit inside a partner university's own degree. Shorter briefings and a train-the-trainer ladder prepare staff and officials to teach the model themselves.
Browse the course catalog →ACROSS ALL THREE · CHALLENGE-BASED
Multi-Competence Learning methodologies.
Whichever door you come through, teams tackle a real problem with mentors and stakeholders, building several kinds of competence at once
Together these build people who can read climate risk, think in systems, work fluently with geospatial data, and turn that understanding into real-world solutions.
Hand-picked for you
Featured courses
Explore selected courses to build practical geospatial and climate-resilience skills.
WHAT ALUMNI SAY
“I’ve used these skills to teach other people about GIS, and I still use Google Maps and mapping tools every day in my job.”
— SUZA alumnus, 2019–2020 cohort
“QGIS, ODK and OMK helped me with data collection, analysis and presentation during my dissertation — open-source software helped me a lot on urban planning projects.”
— Ardhi University alumnus, Urban & Regional Planning
88.8% of alumni say they used these skills again later · 94.2% would recommend Resilience Academy to a student today
From the field
Training stories
DIDAIhub: Sustainable development
The student is able to comprehend information about sustainable development and has the ability to apply the concepts of sustainable development for reaching the Sustainable Development Goals in all personal and professional activities.
Read more →DIDAIhub: Basic research information of climate change
This Mini-MOOC is relevant information for communicating with local and regional planners of civil servants and the general public as well related to any SDG that includes a spatial dimension from global to local; for the sustainable use of land, adaption and mitigation actions for risks like flooding, soil degradation, ecosystem instabilities and conservation of ecosystems […]
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DIDAIhub: Field data collection with QField
The objective of this course is to learn the key elements on research and data collection planning. You will be able to evaluate the data collection process and recognize the role of documentation on field data collection. The goal is to learn how to plan and create a comprehensive data collection project on QGIS and […]
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DIDAIhub: Satellite image classification using ML in Google Earth Engine
This course introduces students to the Google Earth Engine (GEE) cloud computing platform, focusing on accessing and preprocessing Earth Observation (EO) data.
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Have a project in mind?
Partner with Resilience Academy to map hazards, open geospatial data and build resilience with communities across Tanzania.