Step 01
Pick a track
Start with Learning AI to understand the field. If you are already comfortable and want to build, jump straight to Building AI.
Courses
Three tracks. One programme.
Start with Learning AI to understand the field, move to Building AI when you're ready to make, and pick up AI for Professionals when you need role-specific recipes for your day-to-day work. New courses join each track over time.
How it works
AI literacy in three steps.
No account required, no fees. Move at your own pace — finish, and you walk away with a certificate in your name.
Step 02
Read chapter by chapter
Each chapter is broken into short sections. Your progress is saved on your device — no account needed.
Step 03
Pass the exam, earn the certificate
Complete every chapter, sit the short final exam, and earn a verified certificate you can share on LinkedIn or your CV.
Track 01 4 courses
Learning AI
Understand what AI is, how it works, and where it fails.
- Plain language — no math, no programming required
- Self-paced, fully bilingual (EN / नेपाली)
- Examples from systems you already know — Khalti, Pathao, OCR
- Certificate on completion of every course
Track 02 5 courses
AI for Professionals
Role-specific playbooks for the work you actually do.
- Role-specific — courses by profession, not by topic
- Concrete workflows you can use the same day
- Nepali context — IRD, NRB, local contracts, vernacular comms
- Certificate on completion of every course
Track 03 5 courses
Building AI
Move from understanding to making real systems.
- Hands-on, code-first courses for makers
- Light Python recommended — we introduce what's needed
- Practice with real Nepali datasets
- Build small systems that actually ship
For teams For organisations
AI literacy for teams
A one-hour intro or a full-day workshop for your team — framed entirely in Nepali examples. Designed for banks, NGOs, colleges, and startups.
Get in touch →- Custom curriculum
- In-person or remote
- Certificate of participation
- English and Nepali
- 10 to 500 participants
- Flexible scheduling
Common questions
Before you start a track.
Which track should I start with?
Start with Learning AI. It is for everyone — it explains what AI is, what it can and cannot do, and where it breaks. Building AI only makes sense after you have that foundation.
Can I skip straight to Building AI?
Yes, but it is not recommended. If you can already explain terms like "machine learning", "training data", and "model bias" without looking them up, that is fine. Otherwise, Learning AI will save you a lot of time.
How long does each track take?
Learning AI: 6 chapters, roughly 12 hours of reading. Most learners spread it over 2–3 weeks at their own pace. Building AI is longer — roughly 25 hours, 4–6 weeks. There is no deadline.
Do I need maths or programming?
Learning AI requires no prior knowledge — no maths, no programming. Building AI recommends basic Python, but it is introduced gradually as you go, so do not let code scare you off.