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Mini MBA in Artificial Intelligence and Digital Transformation

Mini MBA in Artificial Intelligence and Digital Transformation

1 Weeks
Professional Level
Certificate Included
Course Content

Available Events

Available Events
CityDatePriceStatus
AmsterdamNetherlands
September 14, 2026
€4,900
Confirmed date
GenevaSwitzerland
September 16, 2026
€4,900
Confirmed date
OnlineOnline
September 24, 2026
€4,300
Confirmed date
LondonUnited Kingdom
September 30, 2026
£4,800
Confirmed date
TunisTunis
October 25, 2026
€4,400
Confirmed date
SingaporeSingapore
November 3, 2026
€5,100
Confirmed date
DubaiUnited Arab Emirates
November 18, 2026
€5,100
Confirmed date
Kuala LumpurMalaysia
November 21, 2026
€4,800
Confirmed date
IstanbulTurkey
November 22, 2026
€4,900
Confirmed date

Course Information

Duration

1 Weeks

Category

AI

Level

Professional Level

Certificate

Included

INTRODUCTION

Artificial intelligence and digital technologies are rapidly changing how organizations compete, operate, innovate, and serve customers. Successful transformation requires more than purchasing technology or automating isolated processes. Leaders must understand how strategy, people, data, governance, culture, and execution work together. The Mini MBA in Artificial Intelligence and Digital Transformation provides a practical executive learning experience for navigating this complex environment. It introduces essential management concepts without requiring advanced technical expertise. Participants explore how artificial intelligence can improve productivity, decision-making, customer experience, innovation, and operational performance. They also examine the challenges associated with adoption, including resistance, skills gaps, fragmented data, cybersecurity threats, and unclear accountability. The course develops the strategic perspective needed to align digital initiatives with organizational priorities and measurable value. It combines executive education, practical frameworks, interactive discussions, case analysis, and transformation planning.

COURSE OBJECTIVES

Participants will achieve the following objectives by this course:

  • Understand the strategic impact of artificial intelligence and digital transformation on organizations.
  • Evaluate emerging technologies and identify high-value business applications.
  • Develop integrated digital transformation strategies aligned with organizational priorities.
  • Build business cases for artificial intelligence and technology investments.
  • Redesign operating models, processes, and customer journeys using digital capabilities.
  • Strengthen data governance, cybersecurity, ethics, and responsible artificial intelligence practices.
  • Lead organizational change and build a culture of innovation.
  • Manage digital transformation portfolios, projects, risks, and stakeholders effectively.
  • Measure transformation performance through relevant indicators and business outcomes.
  • Create an actionable roadmap for sustainable digital transformation implementation.

TARGET AUDIENCE

This program targets a professional audience seeking to improve knowledge and skills:

  • Senior executives and business leaders responsible for organizational strategy, innovation, growth, and competitive positioning.
  • Department heads and functional managers leading digital initiatives, automation, modernization, and performance improvement.
  • Government officials and public sector leaders managing technology-enabled services and institutional transformation.
  • Information technology and digital transformation managers connecting technical capabilities with business priorities.
  • Strategy, operations, finance, marketing, and customer experience professionals supporting transformation programs.
  • Project and program managers responsible for complex digital initiatives and cross-functional implementation.
  • Entrepreneurs and consultants advising organizations on innovation, technology adoption, and business model development.
  • Professionals preparing for leadership responsibilities in artificial intelligence and digitally enabled organizations.

COURSE OUTLINE

Day 1: Artificial Intelligence, Digital Disruption, and Strategic Leadership

  • Understanding digital transformation and its strategic business significance.
  • Exploring artificial intelligence capabilities, limitations, and organizational applications.
  • Identifying industry disruption patterns and emerging competitive threats.
  • Assessing organizational digital maturity and transformation readiness.
  • Linking technology investments with strategy and business value.
  • Defining executive leadership responsibilities during digital transformation.
  • Evaluating platform models, ecosystems, and digitally enabled businesses.
  • Identifying priority transformation opportunities across organizational functions.

Day 2: Digital Strategy, Business Models, and Value Creation

  • Developing an integrated digital transformation strategy.
  • Redesigning business models using data and intelligent technologies.
  • Building compelling business cases for digital investments.
  • Prioritizing initiatives based on value, feasibility, and risk.
  • Mapping customer journeys and identifying digital improvement opportunities.
  • Applying innovation methods to products, services, and operations.
  • Balancing short-term performance with long-term transformation goals.
  • Creating a portfolio of strategic digital initiatives.

Day 3: Data, Technology, Governance, and Responsible Innovation

  • Understanding data as a strategic organizational asset.
  • Establishing effective data governance, ownership, quality, and access.
  • Exploring cloud platforms, automation, analytics, and intelligent systems.
  • Managing cybersecurity, privacy, resilience, and technology risks.
  • Applying responsible artificial intelligence principles and ethical controls.
  • Evaluating vendors, platforms, partnerships, and technology investments.
  • Defining governance roles, committees, policies, and decision rights.
  • Building scalable and secure digital technology foundations.

Day 4: Operating Models, Talent, Culture, and Change

  • Redesigning processes and operating models for digital performance.
  • Building agile, collaborative, and customer-focused working practices.
  • Identifying future skills and workforce capability requirements.
  • Developing digital leadership and employee learning programs.
  • Managing resistance, uncertainty, and transformation fatigue.
  • Creating an innovation culture that supports experimentation.
  • Aligning structures, incentives, roles, and performance systems.
  • Communicating transformation priorities to diverse stakeholder groups.

Day 5: Execution, Performance Measurement, and Transformation Roadmap

  • Translating digital strategy into executable programs and projects.
  • Establishing transformation governance and portfolio management practices.
  • Defining measurable outcomes and key performance indicators.
  • Tracking value realization, benefits, costs, and implementation risks.
  • Managing stakeholders, dependencies, priorities, and resource constraints.
  • Scaling successful pilots across functions and business units.
  • Building continuous improvement and innovation mechanisms.
  • Presenting an actionable digital transformation roadmap.

COURSE DURATION

Duration: 1 Weeks

This intensive executive development program is delivered over five consecutive days through structured sessions combining expert instruction, strategic frameworks, business case studies, practical exercises, group discussions, digital maturity assessments, and transformation roadmap development. It can be delivered as public training, customized in-house training, virtual instructor-led learning, or a blended program according to organizational requirements and participant profiles.

INSTRUCTOR INFORMATION

The program is delivered by an internationally certified expert with extensive practical and consulting experience in artificial intelligence, digital transformation, business strategy, innovation management, organizational change, data governance, technology leadership, and operational excellence. The instructor combines executive education expertise with real-world transformation experience and uses international frameworks, practical tools, case studies, and interactive methodologies to help participants apply learning directly within their organizations.

FREQUENTLY ASKED QUESTIONS

No, the program focuses on strategic and managerial applications.

CONCLUSION

The Mini MBA in Artificial Intelligence and Digital Transformation prepares leaders to manage technology-driven change with confidence and strategic clarity. It combines artificial intelligence, digital strategy, innovation, governance, leadership, and execution within one comprehensive program. Participants gain practical tools for identifying opportunities, managing risks, and delivering measurable business value. The course supports organizations in developing capable leaders and sustainable transformation practices. Graduates leave prepared to lead responsible, competitive, and future-focused digital initiatives.

Mini MBA in Artificial Intelligence and Digital Transformation

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