APPLIED AI
Production-grade AI capability.
No hype.
Role-specific tracks for executives, product leaders, engineers, and architects.
Vendor-neutral. Governance-first. Online and self-paced.
There is a chasm between AI hype and production reality. Most training teaches prompting. We teach architecture, governance, observability, and engineering — the full stack of production-ready AI.
FIVE ROLE-SPECIFIC TRACKS
Find your track.
Executive
Decision-makersAI governance, procurement strategy, investment framework, and risk appetite. Build board-level fluency without writing code.
AI Product
Product leadersLLM UX patterns, pricing models for AI-native products, delivery controls, and measurement of AI value. Ship faster with fewer costly rewrites.
Delivery Leader
Project managersMulti-lane runtime, observability, programme risk, vendor evaluation, and managing cross-functional AI squads from kickoff to steady state.
AI Engineer
EngineersMCP tool registry, guardrails, identity & budget controls, agent orchestration, and production debugging. Build systems that hold at scale.
AI Architect
Senior architectsAll eight agentic stack planes plus enterprise strategy. Define the target-state architecture and own the migration roadmap.
THE FRAMEWORK
Built on the agentic stack.
8 Agentic Stack Planes
5 Enterprise Planes
Every track is built on this framework. Vendor-neutral by design — complements, not replaces, provider-specific training.
SELF-PACED
How it works.
Pick your track
Five tracks, one per role. Take the one that matches the job you actually do.
Work at your own pace
Online and self-paced. No intake dates, no timetable, nothing to keep up with.
Use it at work
Every track is built around applied work, so what you build is work you can take back.
Sign-up opens when the first tracks are published.
Tell us which track you wantPreparing for an AWS, Azure, Google Cloud or Claude exam? That is Certification Prep, a separate part of Atlas.