Master in AI & Digital Transformation - Inteligencia Artificial y Transformación Digital

This Master prepares professionals to lead AI-driven digital transformation initiatives by combining business strategy, innovation methodologies, and the technical understanding required to make informed architectural and technology decisions — without becoming a developer

This Master is designed for graduates from any academic background who want to build a career in innovation, management, and digital transformation, using AI tools and platforms to lead strategic change.

No prior technical or coding experience is required.

> Learn how to use AI as a strategic business driver, not just a technical tool • Develop the ability to lead projects at the intersection of business, technology, and innovation

> Gain decision-level technical understanding of AI systems, platforms, and architectures

> Benefit from a highly practical, hands-on methodology, delivered by industry experts • Work with real-world business cases and applied projects

> Experience a three-city European program in leading digital and innovation hubs

With more than 25 years of experience as a leading European school in digital technology and innovation, EPITECH delivers a unique, practice-oriented learning experience.

1. Innovation & Business Transformation Fundamentals
Innovation mindset and business drivers
Incremental vs. radical innovation
Design Thinking, Lean Startup, Jobs To Be Done
Identifying high-impact business problems
From insights to innovation opportunities

2. Digital Transformation Platforms & Enterprise Technologies
What digital transformation really means
Enterprise digital architectures
Overview of key platforms:
- Cloud (AWS, Azure, GCP)
- Data platforms (data lakes, data warehouses)
- ERP, CRM and core enterprise systems
- Automation and integration platforms
Build vs. buy decisions and vendor evaluation

3. Artificial Intelligence as an Innovation Accelerator
AI-driven innovation across products, services, and processes
Generative AI for ideation and experimentation
AI-powered decision-making
Industry case studies of AI-driven transformation

4. Artificial Intelligence: Concepts, Technologies & Architectures
AI fundamentals: Machine Learning, Deep Learning, Generative AI
AI system architectures and enterprise AI stacks
LLM ecosystems and AI services
Integration, scalability, performance, and security considerations

5. AI for Process Excellence & Process Mining
Process thinking and operational excellence
Process mining concepts and tools
AI-enhanced process analysis and optimization
Automation opportunities and real use cases (operations, finance, supply chain, customer journeys)

6. AI Project Implementation, Governance & Regulation
AI project lifecycle: from PoC to production
Governance models for AI initiatives
Data and model governance
Regulatory and ethical considerations

Graduates will be prepared for roles such as:

AI / Digital Transformation Manager
AI Project Lead
Digital Strategy Manager or Advisor
Innovation Manager / Director
Chief Digital Officer (CDO)
Chief Innovation Officer (CIO)