Course Schedules

Classroom 18 Sessions
Online / Live
Live

No dates scheduled

Introduction

The Mini MBA AI Course offers a strategic foundation for professionals seeking to lead their organisations through the evolving landscape of Artificial Intelligence and digital innovation. This advanced-level Mini MBA Digital Transformation Course is designed to bridge the gap between emerging technologies and practical business leadership, empowering participants with the skills to drive innovation, enhance operations, and foster sustainable growth through AI integration.

Participants will explore how AI transforms core business functions—from automating workflows and improving customer experience to enabling data-driven decision-making and reshaping competitive strategies. With a focus on aligning digital transformation with business objectives, this course provides insight into AI governance, organisational readiness, and strategic implementation.

Through expert-led discussions, real-world case studies, and practical exercises, attendees will gain actionable knowledge to design and lead AI-driven initiatives. Ideal for business leaders, department heads, and change agents, this training positions professionals to navigate the complexities of digital transformation with clarity, confidence, and strategic foresight.

What are the Goals?

By the end of this Anderson training course, participants will be able to:

  • Understand the fundamentals of AI and its role in digital transformation
  • Develop strategies for integrating AI into business models
  • Analyze the impact of AI on various business functions
  • Explore AI-driven solutions to enhance customer experience and operational efficiency
  • Lead digital transformation initiatives using AI technologies
  • Evaluate ethical and regulatory considerations in AI adoption

Who is this Training Course for?

This Anderson training course is suitable to a wide range of professionals but will greatly benefit:

  • Business executives and managers
  • Digital transformation leaders
  • IT and innovation officers
  • Strategic decision-makers
  • Entrepreneurs looking to integrate AI into their ventures

How will this Training Course be Presented?

This Anderson training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This will combine presentations and workshops (computer-based activities) with instructor-guided interactive discussions between participants relating to their individual interests, Practical exercises, video material and case studies aiming at stimulating these discussions and providing maximum benefit to the participants will support the formal presentation sessions. Above all, the course leader will make extensive use of case examples and case studies of issues in which he has been personally involved. Most of the computer-based activities will not involve programming so AI concepts will be clearly elaborated for non-technical delegates.

Course Content

Day 1

Introduction to Artificial Intelligence and Digital Transformation

  • Overview of AI: Concepts, History, and Applications
  • The Role of AI in Digital Transformation
  • Key AI Technologies: Machine Learning, Natural Language Processing, and Computer Vision
  • Case Studies: Successful AI Implementations in Business
  • Discussion: The Future of AI in Business and its Disruptive Potential
Day 2

AI in Business Strategy and Operations

  • How AI Transforms Business Models
  • AI-Driven Operational Efficiency and Cost Reduction
  • Leveraging AI for Data-Driven Decision Making
  • AI in Supply Chain, Production, and Logistics Optimization
  • Workshop: Designing AI-Enhanced Business Strategies
Day 3

AI for Customer Experience and Digital Marketing

  • Personalizing Customer Interactions with AI
  • AI in Digital Marketing: Predictive Analytics, Chatbots, and Recommendation Engines
  • Enhancing Customer Experience through AI-Powered Automation
  • Case Studies: AI in Retail, Finance, and Healthcare Sectors
  • Practical Exercise: Building AI-Enhanced Customer Journeys
Day 4

Leading Digital Transformation with AI

  • Strategies for Leading Digital Transformation Initiatives
  • AI and Change Management: Managing Resistance and Cultivating a Digital Culture
  • AI in Product Development and Innovation
  • Aligning AI Projects with Business Objectives
  • Panel Discussion: Challenges and Opportunities in AI Adoption
Day 5

Ethical, Legal, and Future Considerations in AI

  • Ethical Issues in AI: Bias, Fairness, and Accountability
  • Legal and Regulatory Challenges in AI Implementation
  • Data Privacy and Security in AI-Driven Transformations
  • The Future of Work: AI and the Workforce
  • Group Project: Developing an AI-Driven Digital Transformation Roadmap for a Business

The Certificate

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course

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