ETHSUN AI Application Programme — Digital Transformation & Information Systems
AIDTSai sprint

ETHSUN AI Application Programme — Digital Transformation & Information Systems

Designing AI-Driven Organisations

A focused 2-day sprint for digital leaders designing and executing AI-driven transformation — from architecture and data governance to process automation.

2 Days Intensive100% OnlineCDOs, CTOs & Digital Transformation Leaders
2 Days Intensive
Duration
100% Online
Format
CDOs, CTOs & Digital Transformation Leaders
Target Audience
€488
Programme Fee

Programme Overview

The ETHSUN AI Application Programme — Digital Transformation & Information Systems provides technology and transformation leaders with a comprehensive framework for enterprise AI integration — covering transformation roadmaps, enterprise AI architecture, data governance, and intelligent process automation. Participants build a Digital AI Transformation Roadmap ready for executive sign-off.

Format & Cohorts

100% Online

Upcoming sessions

Juillet 2026
Sessions run every month
Septembre 2026
Sessions run every month

Open enrolment — register at any time

Apply — Digital Executive Track
Programme Deliverable

Each participant leaves with a concrete, organisation-specific Digital AI Transformation Roadmap — a practical AI action plan ready for immediate implementation.

Curriculum

01AI Transformation Roadmaps
  • AI maturity assessment methodology
  • Use case prioritisation frameworks
  • Build vs buy vs partner decisions
  • AI programme management
02Enterprise AI Architecture
  • Cloud AI infrastructure selection
  • Data pipeline design principles
  • MLOps foundations for executives
  • API and integration strategy
03Data Governance
  • Data quality management frameworks
  • Master data management principles
  • GDPR and data compliance for AI
  • Data cataloguing and lineage
04Process Automation & Integration
  • RPA and AI combined architecture
  • Workflow orchestration platforms
  • AI-driven business process management
  • Integration patterns and best practices

Learning Outcomes

Transformation roadmap
build a credible AI implementation roadmap
Architecture clarity
design enterprise AI infrastructure confidently
Data governance
establish robust data foundations for AI
Automation
identify and prioritise high-value automation opportunities