How it works
Step 1.You define the curriculum
Describe your modules — what employees should build, what data they'll work with, what patterns matter in your org. We handle the platform, or hand you the SDK to build it yourself.
Step 2.We wire up the platform
Each module gets a cloud sandbox, an AI instructor, starter code, and synthetic datasets. Employees build progressively — each module extends the last.
Step 3.Your team learns by building
Real TypeScript projects. Real AI patterns — RAG pipelines, fine-tuning, AI agents, API gateways. Portfolio-ready output they keep forever.
What every course includes
Cloud sandboxes
Isolated dev environments per learner. No local setup, no dependency hell.
AI instructor
Guides, doesn't hand-hold. Adapts to the learner's pace and fills knowledge gaps.
6-module progression
Each module builds on the last. By module 6, they've built a complete system.
Portfolio projects
Employees keep what they build. Real code, real systems, real proof of skill.
Two ways to work with us
Managed
Tell us what your team needs to learn. We design the course — modules, prompts, datasets, chapter guides — and deploy it on the platform. You focus on your business.
- We handle course design + deployment
- Custom datasets from your domain
- Ongoing iteration based on learner feedback
SDK
Have engineers on your team? Use our CLI to scaffold courses, write your own module prompts and datasets, and deploy on your own infrastructure. Full control.
$ npx create-alset-course "AI Customer Support"
Scaffolding 6 modules, chapters, seed files...
Created 9 files. Add 2 registry entries to go live.
- CLI scaffolds all boilerplate
- Full source access — customize everything
- Deploy on your own Vercel/infrastructure