About Dexity
Dexity delivers focused AI skill sprints taught by practitioners who've shipped at scale — not theorists who've studied it.
RAND says 80% of AI projects fail. Gartner puts it at 85%. VentureBeat reported 87% of ML projects never reach production. The numbers vary — the story doesn't. Most of this never ships.
The course model is a legacy artifact. 40-hour curricula designed for someone learning from scratch. But most practitioners are already skilled — they don't need to start from zero. They need to go from competent to dangerous.
In 2026, the keyword for learning isn't knowledge. It isn't awareness. It's skills — the kind you can deploy on Monday morning.
Each sprint is built around a single deployable skill — not a topic area, not an overview.
One specific, deployable capability — like building a prompt injection test suite, an AI evals framework, or a product strategy for an AI feature.
Someone who has already done it at scale. Not someone who has only read about it.
Not toy projects. Not sandboxes. Real artifacts you can ship, show in an interview, and reuse on Monday.
Take it into your work, your team, your product. That's the only metric that matters.
Our instructors — we call them Dexters — are practitioners from FAANG+ companies who've shipped AI systems at scale. They were drawn to the same shiny objects. They were equally confused, overwhelmed, and anxious. But they put in the time.
They separated signal from noise. They learned, applied, failed, shipped, and gained experience no course could teach.
Every Dexter comes with one mandate: help you deploy something real, not just understand something new.