RAG in R that actually works
End-to-end with ragnar, vector search/BM25, chunking strategies, and vitals evaluation.
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Global AI/LLM team at Athlyticz
We’ve assembled a world-class group across the UK, Germany, the Netherlands, France, Switzerland, and the U.S. to ensure R users can confidently integrate ML + LLMs into production.
Async coursePortfolio-ready projectsR-nativeSports & real-world cases
Built for people who want to ship
Common requests we hear (and what you’ll get):
Tool-calling & safe SQL
Register R functions with ellmer, query structured data with querychat, and orchestrate NL → tidymodels pipelines.
Deployment & UX
Package models with vetiver, wrap in Shiny, monitor cost/latency, and add simple observability.
Real tidymodels depth
LDA, penalized regression, trees/ensembles, proper CV/tuning—so you don’t need a separate ML course.
Meet your instructors
Dr. Nic Crane
Director, NC Data Labs (UK)
Director, NC Data Labs (UK)
“LLMs open up new ways to extend your analyses in R… I’m excited to teach how to use LLMs with tidymodels to take your modelling further.”
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Independent R consultant with 15 years in R; PhD in Statistics. Core maintainer of Apache Arrow for R and author of Scaling Up with R and Arrow (CRC Press, 2025). Deep experience deploying R in production across pharma, public health, academia, and startups.
Dr. Christoph Scheuch
Economist & Data Scientist (DE)
Economist & Data Scientist (DE)
“LLMs are reshaping modeling—exploration is faster, communication clearer, and workflows more powerful. Let’s pair tidymodels with modern AI.”
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Financial economist turned data scientist and product manager. Builds interactive dashboards, automated reporting, and custom R/Python packages; extensive experience with CI/CD and Shiny deployments (Docker, ShinyProxy, Posit Connect, GCR).
The Athlyticz R/Shiny/LLM ecosystem
Your path from fundamentals → production:
Sr. Shiny Instructor
Veerle Eeftink van Leemput
Lead instructor for our 3-part Shiny Series, co-designed with Dr. David Granjon.
Sr. R Instructor
Dr. Paul Sabin (UPenn)
Your warm-up path into modern R and the tidyverse.
Sr. Bayesian Instructor
Dr. Scott Spencer (Columbia)
Two-course R bundle on Bayesian modeling with Stan.
Sr. AI/LLM Consultant
Dr. Albert Rapp
Monthly R/Shiny/LLM/Tidy membership track—coming soon.
FAQ (quick hits)
Is this async?
Yes. 12–25 hours total with short, focused clips (2–10 minutes). Case study projects add a practical layer with an easy to reproduce workflow for our Google Cloud powered virtual machines directly on our platform. No setup, join and learn right away from experts in the area.
Prereqs?
Tidyverse + basic Shiny comfort recommended. If you’re rusty, start with BreeZing through the Tidyverse.
Who is it for?
Upper-undergrad/grad students and working R/analytics pros who want reproducible, deployable ML+LLM workflows.
Ready to bring ML + LLMs to your R stack?
Join the waitlist to get early access and launch updates.