Project 02
OquUp
Master AI. Measure the result.
Not a course catalog, but a platform for competency diagnostics, practice and managed AI adoption — for government, business and individual professionals in Kazakhstan.
Websiteoquup.space
Taking pilot requests
3
languages: Kazakh, Russian, English
9
platform modules
3
formats: government, business, professionals
8
weeks in a pilot, from diagnostics to the report
The idea
Measure AI skills, not course completions.
The buyer is an employer who wants to know two things: can our people actually work with AI, and did it change the work?
OquUp assesses skills before and after, gives people safe practice on realistic tasks, and shows the effect to HR and department heads.
How it works
From diagnosis to effect.
01
Diagnostics
Entry assessment of knowledge, skills and safety. A skills map and personal learning paths.
02
Learning
Micro-lessons of 5–12 minutes, interactive materials, tests and certification.
03
Practice
Safe practice on synthetic data: prompts, documents, reports.
04
Adoption
Teams improve a real work process on anonymized data.
05
Effect
Repeat tasks, calculate the effect, report to leadership and map the scale-up.
Who it’s for
Three formats.
B2G
Government
Government bodies, the quasi-public sector, national companies.
- Isolated environment, data stays in Kazakhstan
- Kazakh by native speakers
- Audit log of model requests
- Compliance with the AI law
B2B
Business
Banks, telecom, oil and gas, retail, logistics.
- Role-based paths and a practice environment
- Analytics by department
- Plugs into your LMS as a module
- Effect measured before and after
B2C
Professionals
Individual access, no approvals needed.
- Start plan with self-service payment
- Diagnostics and a practice environment
- AI mentor and scenario library
- Proof of completion
Platform
Nine modules.
01
AI skills diagnostics
Entry and final assessment of knowledge, skills and safety. A skills map and personal paths.
02
Learning hub
Micro-lessons of 5–12 minutes, interactive materials, tests and certification.
03
Practice lab
Safe practice on synthetic data: prompts, documents, reports.
04
Role-based learning
Paths by job role: manager, civil servant, HR, lawyer.
05
AI governance center
Policies, approved tools, data classification.
06
Management analytics
Dashboards by skill, department and effect.
07
AI mentor
A trilingual tutor that explains topics and walks through mistakes.
08
Scenario and prompt library
Tested scenarios, prompts and review rules.
09
AI content studio
Courses and tests built from company documents.
Pilot
An 8-week pilot.
Diagnostics for 100–300 employees, training, 10–20 implemented use cases and a report for leadership.
Weeks 0–1
Preparation and diagnostics
Choose departments and tasks, assess employees, set a baseline for time and quality.
Weeks 2–3
AI literacy and safety
The mandatory foundation, rules for working with data, hands-on exercises.
Weeks 3–5
Role-based learning
Two role programs and 10–20 practical scenarios.
Weeks 5–6
Process challenge
Teams improve a real process on anonymized data.
Weeks 7–8
Measurement and executive review
Repeat tasks, effect calculation, a report and a scale-up map.
Start with a diagnosis.
Next
Founders