Mini MBA: Artificial Intelligence AI
and Digital Transformation

The business environment is undergoing a profound transformation, driven by the rapid advancement of digital technologies and Artificial Intelligence (AI). This Mini MBA training course is designed to equip professionals and business leaders with the essential knowledge and skills needed to leverage AI as a powerful tool for driving digital transformation in their organizations. As AI becomes a key enabler of efficiency, innovation, and competitive advantage, businesses must understand how to integrate these technologies into their strategic vision.

Throughout this Mini MBA Artificial Intelligence AI and Digital Transformation Training Course, participants will learn how AI can revolutionize business processes, from automating routine tasks and enhancing customer engagement to enabling data-driven decision-making and transforming operations. By gaining an in-depth understanding of AI’s capabilities, participants will be empowered to lead digital transformation initiatives that not only improve operational performance but also align with future market demands.

With real-world case studies, hands-on exercises, and expert insights, this training course bridges the gap between theoretical AI concepts and practical business applications. Attendees will leave with actionable strategies for deploying AI technologies within their organizations, ensuring they are at the forefront of innovation and digital change.

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

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

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.

• 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

• 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

• 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

• 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

• 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