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I.STEM Lab

Learning paths

Each path is a short, ordered set of articles that builds step by step, from the first idea to something you can use. Pick the one that matches where you are.

01

GeoAI: from zero to your first map

7 articles · 63 min · Beginner to intermediate

Learn the basics, work with free imagery and finish with a land cover map you tested honestly.

Best for: Analysts, planners and students new to GIS or satellite data

  1. 1GIS basics: rasters, vectors and coordinate systems
  2. 2GeoAI in plain language
  3. 3Resolution in satellite imagery: GSD, revisit time and bands
  4. + 4 more
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02

Back to basics: the maths and science behind GeoAI, 3D and VR

10 articles · 66 min · Beginner to intermediate

AI can draft the code, the model and the scene. People are still needed to develop, fine-tune and put them in context, and that takes the fundamentals.

Best for: Anyone who wants to understand, check and adapt what AI builds, not just run it

  1. 1Back to basics: why maths and science still matter when AI can write the code
  2. 2Vectors, coordinates and transformations: the maths behind every map and 3D scene
  3. 3The Earth is not a sphere: datums, heights and distance for GeoAI
  4. + 7 more
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03

RAG: from idea to a trusted assistant

5 articles · 37 min · Intermediate

Understand how it works, split documents well, build a pipeline and prove it answers correctly.

Best for: Teams building an AI assistant over their own documents

  1. 1RAG explained: how AI answers from your own documents
  2. 2Embeddings in plain language: how AI measures meaning
  3. 3Chunking for RAG: how to split documents so AI can find answers
  4. + 2 more
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04

Adopt AI in your organization

6 articles · 46 min · Beginner

Learn the language and how AI works first, then check your readiness, run one measured pilot and understand the two big building blocks.

Best for: Leaders and small teams deciding where to start

  1. 1AI basics: the essential terminology, in plain language
  2. 2How does AI work, and what are the branches of AI?
  3. 3AI readiness checklist for your organization
  4. + 3 more
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05

Immersive 3D, VR and AR

13 articles · 86 min · Beginner to intermediate

From choosing the right technology to capturing a real place, working with meshes and Gaussian splats, publishing it and training people with it.

Best for: Anyone considering immersive experiences, a digital twin, 3D capture or VR training

  1. 1VR, AR and mixed reality: which one do you need?
  2. 2Digital twins, explained: a living model of a real place
  3. 3How cameras capture 3D: optics, parallax and photogrammetry
  4. + 10 more
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06

Learn Applied Mathematics: Where and how it's used

9 articles · 63 min · Beginner

Seven short stories about ratios, averages, probability, geometry, change, growth and optimisation, then the two ideas that power modern AI and 3D.

Best for: Anyone who was told maths is useful and never saw where, from students to managers

  1. 1The story of the two districts: ratios, percentages and why raw numbers lie
  2. 2The story of the two rivers: averages, spread and the outlier that changes everything
  3. 3The story of the positive test: probability, base rates and why surprising results are often wrong
  4. + 6 more
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07

Learning tech jargons: Understand the Technologies better

10 articles · 70 min · Beginner

Plain-language decoders for AI, web, software, data, cloud, security, geospatial, immersive and emerging technology vocabulary.

Best for: Managers, founders, students and new team members who nod along in technical meetings

  1. 1AI basics: the essential terminology, in plain language
  2. 2How does AI work, and what are the branches of AI?
  3. 3Web and internet jargon decoded: from IP address to API
  4. + 7 more
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