DataMiner Empower – Value-First Training

AI context and design documentation for the DataMiner Empower training program.

Purpose

This training does not teach App Builder, DevOps Agents, DOM, ticketing, or AI agents as individual features. It creates a mindset shift:

From "What application should I build?" to "What operational outcome do I want to achieve?"

Documentation

Section	Audience	Content
Trainer Guide	Trainers	The full training flow and one guide per session: how to proceed, what is given, do's and don'ts
Guided Journey	Trainers, content owners, engineers	The Empower Companion app that guides participants through sessions 2 to 4, publishes their app, and sends a summary at the end
Participant Enablement	Trainers, organizers	What participants need per session and what we provide
Backend Packages	Engineers building the environment	The Catalog packages participants use in the hands-on sessions, one per vertical
Content Creation	Content owners	Everything that must be produced before the training, with dependencies

Program at a Glance

flowchart LR
    K[Keynote<br/>Vision + Vanguard] --> D[Assistant & DevOps Agents<br/>showcase]
    D --> AB[App Builder<br/>hands-on]
    AB --> SA[Specialized Agents<br/>hands-on]
    SA --> A2A[Agent-to-Agent<br/>demo]

Every session reinforces the same cycle: Understand → Act → Create.

From session 2 to session 4, participants follow the Guided Journey in the Empower Companion app: they choose a vertical and problems, define the end state and 30-60-90 value, publish their app, build an agent, and submit a summary of what they created.