Learn AI by building the products your industry actually uses.
Valqora runs live virtual classes shaped around your sector — then helps you take what you built and hook it into your own systems.
Access is issued by your cohort admin — no public signup.
Trusted by 2,400+ practitioners from teams such as
- Meridian Bank
- Northwind Energy
- Halden Health
- Cobalt Retail
- Ferrous Mfg.
- Civic Labs
Virtual classes, organized by industry vertical.
Every course is taught live to a small cohort and grounded in that sector's real workflows, data, and constraints.
A hands-on introduction to Python using runnable notebook exercises.
FoundationalUnderstand how LLMs and chat actually work, build a ReAct agent by hand, then learn LangGraph as the answer to the exact problems you'll hit along the way — not just another API to memorize.
FoundationalLearn reservoir engineering fundamentals and apply modern machine learning to a real North Sea field (the Volve dataset), finishing with a retrieval-augmented LLM exercise that runs against a local model.
Learn how a producing system works, then apply modern machine learning to real production data from the Volve field — forecasting, anomaly detection, and inflow-performance fitting — finishing with a retrieval-augmented LLM exercise.
A phone-first lab where you use AI to plan, script, shoot, edit, and pitch a real promo content kit for a Lagos small business — a WhatsApp-first offer, a short-form video, and a pitch a real owner could say yes to. You finish with a sellable weekly content package, not just practice reels.
Products people built on Valqora.
These started as a class project. Each one shipped into the systems the team already runs on.
Policy assistant that cites its sources
A cohort built an internal assistant over 40k pages of policy. Every answer links the clause it came from, so advisors trust it enough to use it live.
Read the case study42%faster handling6 wksto first pilotLoad-anomaly triage for field teams
An agent watches telemetry, drafts a triage summary, and routes it to the right crew — with the model's confidence and evidence attached.
Read the case study3.1kalerts triaged/wk-28%false dispatchesDischarge summaries clinicians sign off on
Notes become structured discharge drafts in seconds. Clinicians edit and sign; the model never finalizes on its own.
Read the case study9 minsaved per case100%clinician sign-off
Talk to us.
Questions about a cohort, a vertical, or getting your team set up? Send us a note and we'll get back to you.
Or copy our address:mudi.exec@gmail.com
Access is issued by your cohort admin — email us if you'd like to start a cohort.