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Course DIT-011

Mastering Artificial Intelligence AI and Digital Transformation

Artificial Intelligence is transforming industries by reshaping business models, automating operations, enhancing custom... The outline covers Artificial Intelligence and the Digital Transformation Landscape, AI Strategy...

  • 5 daysClassroom or online
  • 2Upcoming dates
  • 2Cities
  • €2,425Fees from
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Mastering Artificial Intelligence AI and Digital Transformation
Next online class Live virtual classroom 16 - 20 November 2026 · €1,815 + VAT Next classroom session London 16 - 20 November 2026 · €2,815 + VAT

Your week at a glance

  1. Day 1 Artificial Intelligence and the Digital Transformation Landscape
  2. Day 2 AI Strategy, Business Models, and Operational Excellence
  3. Day 3 AI for Customer Experience and Business Growth
  4. Day 4 Leading AI-Driven Digital Transformation
  5. Day 5 Responsible AI, Governance, and the Future of Business

Choose your format and date

  • 5 days
  • 09:00–14:00
  • Certificate of attendance

Classroom sessions

  1. 16–20 Nov 2026

    London

    Next date
    €2,815 + VAT
    Register
  2. 7–11 Dec 2026

    Amsterdam

    Lowest fee
    €2,425 + VAT
    Register

Online / Live sessions

  1. 16–20 Nov 2026

    Live virtual classroom

    Next date
    €1,815 + VAT
    Register
  2. 7–11 Dec 2026

    Live virtual classroom

    €1,815 + VAT
    Register

Introduction

Course overview

Artificial Intelligence is transforming industries by reshaping business models, automating operations, enhancing customer experiences, and enabling data-driven decision-making. Organizations that successfully combine AI with digital transformation strategies gain significant competitive advantages through innovation, efficiency, and agility. This course equips participants with practical knowledge to understand AI technologies, lead digital transformation initiatives, develop AI-enabled business strategies, and implement responsible AI practices that create measurable business value.

View full course outline

What you will achieve

Learning objectives

  • Understand the core concepts and technologies of Artificial Intelligence
  • Evaluate how AI supports digital transformation across business functions
  • Develop AI-enabled business strategies that improve organizational performance
  • Apply AI solutions to operations, customer experience, and decision-making
  • Lead AI-driven digital transformation initiatives successfully
  • Address ethical, legal, governance, and cybersecurity considerations in AI adoption
  • Develop an AI-powered digital transformation roadmap for their organization

Who should attend

Target audience

  • Executives and senior managers
  • Digital transformation leaders
  • Innovation managers
  • Business strategy professionals
  • IT managers and technology leaders
  • Operations managers
  • Project managers
  • Professionals involved in AI adoption and business transformation

Methodology

Learning approach

  • The course combines instructor-led presentations, interactive workshops, business simulations, AI demonstrations, group discussions, case studies, practical exercises, and strategy development sessions focused on real-world business applications.

Complete course outline

Five focused days of learning and application

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Day 1

Artificial Intelligence and the Digital Transformation Landscape

  1. Understanding the evolution, principles, and business applications of Artificial Intelligence
  2. Exploring the relationship between AI and digital transformation
  3. Reviewing core AI technologies including Machine Learning, Natural Language Processing, Computer Vision, and Generative AI
  4. Identifying opportunities for AI adoption across industries and business functions
  5. Coffee break
  6. Identifying opportunities for AI adoption across industries and business functions (continued)
  7. Analyzing successful AI implementation case studies and lessons learned
  8. Evaluating emerging trends shaping the future of AI-enabled organizations

Day 2

AI Strategy, Business Models, and Operational Excellence

  1. Understanding how AI transforms business models and competitive advantage
  2. Applying AI to improve operational efficiency, productivity, and cost optimization
  3. Leveraging AI to support strategic and operational decision-making
  4. Exploring AI applications in supply chain management, production, logistics, and business operations
  5. Coffee break
  6. Exploring AI applications in supply chain management, production, logistics, and business operations (continued)
  7. Developing AI adoption frameworks aligned with organizational objectives
  8. Practical workshop: Designing an AI-enabled business strategy

Day 3

AI for Customer Experience and Business Growth

  1. Personalizing customer interactions through AI-powered technologies
  2. Applying AI to digital marketing, predictive analytics, recommendation systems, and conversational AI
  3. Designing customer journeys enhanced by intelligent automation
  4. Coffee break
  5. Leveraging AI to improve customer engagement, satisfaction, and loyalty
  6. Reviewing industry case studies from retail, financial services, healthcare, and other sectors
  7. Practical workshop: Developing an AI-powered customer experience strategy

Day 4

Leading AI-Driven Digital Transformation

  1. Developing leadership strategies for successful digital transformation initiatives
  2. Managing organizational change and building a culture that embraces AI innovation
  3. Coffee break
  4. Applying AI to product development, service innovation, and business process redesign
  5. Aligning AI initiatives with organizational strategy, governance, and performance objectives
  6. Identifying implementation challenges, organizational barriers, and critical success factors
  7. Practical workshop: Developing an AI transformation roadmap for organizational implementation

Day 5

Responsible AI, Governance, and the Future of Business

  1. Understanding ethical principles governing Artificial Intelligence deployment
  2. Managing AI risks related to bias, fairness, transparency, accountability, and explainability
  3. Addressing legal, regulatory, privacy, and cybersecurity considerations for AI systems
  4. Exploring the impact of AI on workforce transformation, leadership, and future skills
  5. Coffee break
  6. Exploring the impact of AI on workforce transformation, leadership, and future skills (continued)
  7. Developing governance frameworks that support responsible AI adoption
  8. Final capstone project: Designing and presenting an AI-driven digital transformation roadmap with implementation priorities, performance measures, and organizational action plans

Ready to book?

Mastering Artificial Intelligence AI and Digital Transformation

Next session: 16 - 20 November 2026, London

Register See all dates

Course FAQs

Questions about this course

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What does Mastering Artificial Intelligence AI and Digital Transformation (DIT-011) cover?

This course covers Digital Innovation and Transformation through a structured five-day outline focused on practical application, discussion, and implementation planning.

When is the next available session?

The next scheduled session starts on 16 - 20 November 2026. See the course schedules section for the available dates and delivery formats.

Who should attend this course?

Executives and senior managers, Digital transformation leaders, Innovation managers

Is bilingual course delivery available?

Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.

How can I register for a session?

Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.

Is this course available online as well as classroom-based?

Check the course schedules section for currently published classroom and Online / Live sessions.

Where are classroom sessions delivered?

Current classroom venues include London, Amsterdam.

How long is the training programme?

The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).