The Mini MBA AI Course offers a strategic foundation for professionals seeking to lead their organizations through the rapidly evolving landscape of Artificial Intelligence and digital innovation.
This advanced-level program bridges 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 redefining competitive strategies.
With a focus on aligning digital transformation initiatives with overarching business objectives this course provides insight into AI governance organizational 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 course equips professionals with the foresight and confidence to navigate the complexities of digital transformation with strategic clarity and impact
Course Objectives
By the end of this training course, participants will be able to:
Understand the fundamentals of Artificial Intelligence and its role in digital transformation.
Develop strategies for integrating AI into modern business models.
Analyze the impact of AI on key business functions and performance.
Explore AI-driven solutions to enhance customer experience and operational efficiency.
Lead and manage digital transformation initiatives using AI technologies.
Evaluate ethical, legal, and regulatory considerations in AI adoption.
Course Audience
This training course is suitable for a wide range of professionals, particularly:
Business executives and senior managers
Digital transformation leaders and strategists
IT and innovation officers
Strategic decision-makers and project directors
Entrepreneurs seeking to leverage AI in their ventures
Course Methodology
This course utilizes a blend of interactive and experiential learning methods to ensure maximum engagement and retention. Participants will benefit from:
Expert-led presentations and conceptual briefings
Group discussions and collaborative exercises
Case studies and real-world AI applications across industries
Practical workshops using non-technical AI tools
Simulation-based exercises designed to reinforce strategic thinking
The training approach emphasizes understanding AI concepts without requiring programming experience, making it accessible to non-technical professionals.
Course Outline
Day 1: Introduction to Artificial Intelligence and Digital Transformation
Overview of AI: Concepts, evolution, and real-world applications
The role of AI in driving digital transformation
Core AI technologies: Machine Learning, Natural Language Processing, and Computer Vision
Case studies: Successful AI implementations in global organizations
Discussion: The future of AI and its transformative business potential
Day 2: AI in Business Strategy and Operations
How AI reshapes modern business models
AI-driven operational efficiency and cost optimization
Leveraging AI for strategic, data-informed decision-making
AI in supply chain, production, and logistics optimization
Workshop: Designing AI-empowered business strategies
Day 3: AI for Customer Experience and Digital Marketing
Personalizing customer interactions with AI tools
AI in marketing: Predictive analytics, chatbots, and recommendation systems
Enhancing customer experience through AI-powered automation
Case studies: AI applications in retail, finance, and healthcare
Practical session: Building AI-driven customer journey frameworks
Day 4: Leading Digital Transformation with AI
Strategic leadership in digital transformation initiatives
Managing resistance and fostering a digital-first culture
AI in innovation and product development
Aligning AI adoption with organizational strategy
Interactive panel: Challenges and opportunities in AI implementation
Day 5: Ethical, Legal, and Future Considerations in AI
Addressing ethical challenges: Bias, transparency, and accountability
Legal and regulatory considerations in AI deployment
Ensuring data privacy and cybersecurity in AI-driven organizations
The future of work and the impact of AI on human capital
Group project: Designing an AI-driven digital transformation roadmap
Certificates
On successful completion of this training course, HighPoint Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.
