AI for Business Leaders and Managers

No prerequisite

1. Explore the current state of AI technologies and their relevance to contemporary business challenges.
2. Recognize the strategic advantages of adopting AI-driven solutions in various industries.
3. Evaluate potential efficiency gains, cost reductions, and revenue growth opportunities through AI implementation.
4. Analyze case studies showcasing successful AI applications in optimizing business processes and customer experiences.
5. Assess the ethical, legal, and societal implications of AI deployment within organizational contexts.
6. Anticipate and mitigate potential risks associated with data privacy, algorithmic biases, and AI-driven decision-making.
7. Examine how AI technologies disrupt traditional business models and create new market dynamics.
8. Develop strategies to leverage AI for innovation, competitiveness, and sustainable growth within your industry sector.
9. Identify emerging trends and opportunities for integrating AI into various facets of business operations, including marketing, sales, finance, and supply chain management.
10. Foster a culture of innovation and continuous learning to capitalize on the transformative potential of AI-driven solutions.

In today's rapidly evolving business landscape, understanding the role of Artificial Intelligence (AI) is essential for leaders and managers.
This course provides a comprehensive overview of AI tailored specifically for business professionals, focusing on its importance, benefits, risks, impacts on business models, and opportunities.
Through a combination of lectures, case studies, and discussions, participants will gain actionable insights to harness the power of AI effectively within their organizations.
By the end of this course, participants will possess the knowledge and strategic insights necessary to navigate the evolving landscape of AI and lead their organizations towards an actionable strategy in the evolving digital age.

Week 1: Introduction to AI in Business

• Overview of the course objectives and structure
• Understanding the importance of AI for business leaders and managers
• Exploring the current state of AI technologies and their impact on various industries

Week 2: Strategic Advantages of AI Adoption

• Recognizing strategic advantages and opportunities of adopting AI-driven solutions
• Case studies illustrating successful AI implementations in different sectors

Week 3: Economic Impact of AI

• Evaluating potential efficiency gains, cost reductions, and revenue growth opportunities through AI implementation
• Cost-benefit analysis of AI adoption in business operations
• Examining economic models and forecasts related to AI-driven innovation

Week 4: AI Applications in Business Processes

• Analyzing case studies showcasing successful AI applications in optimizing business processes
• Understanding AI-driven automation and its impact on productivity and efficiency
• Practical exercises on identifying and prioritizing processes for AI integration

Week 5: AI and Customer Experiences

• Examining AI applications in enhancing customer experiences and engagement
• Case studies of AI-driven personalization and recommendation systems

Week 6: Ethical and Societal Implications of AI

• Assessing the ethical, legal, and societal implications of AI deployment
• Addressing concerns related to data privacy, algorithmic biases, and transparency

Week 7: MID-TERM EXAM
Week 8: Risk Management in AI Deployment

• Anticipating and mitigating potential risks associated with AI deployment
• Strategies for managing risks related to data security, compliance, and regulatory issues

Week 9: Disruption and Business Models

• Understanding how AI technologies disrupt traditional business models
• Case studies of industries undergoing transformation due to AI innovations
• Strategic implications of AI-driven disruption and business model innovation

Week 10: Leveraging AI for Competitive Advantage

• Developing strategies to leverage AI for innovation and competitiveness
• Identifying opportunities for AI integration across different industry sectors
• Creating a roadmap for AI adoption and implementation in your organization

Week 11: Emerging Trends in AI for Business

• Identifying emerging trends and opportunities for integrating AI into business operations
• Exploring AI applications in marketing, sales, finance, and supply chain management
• Creating a roadmap for AI -driven business solutions in your organization

Week 12: Cultivating an AI-Ready Culture

• Fostering a culture of innovation and continuous learning to capitalize on AI opportunities
• Developing leadership strategies for driving AI adoption and transformation
• Final reflections and action planning for implementing AI strategies in participants' organizations

Week 13: FINAL EXAM

The online delivery blends synchronous and asynchronous components. Students complete self-directed assignments hosted on the course platform. Weekly Forums support a required active, rubric-based student contributions that foster collaboration.

Exams may include essays, short answers, or MCQs. Formats include open/closed book. Time zones are considered. Assessments are formative and summative. Students have 2 weeks to review grades and must follow the appeal process in the Student Handbook.

Certificate

The EBU ensures administrative and Tech support in an inclusive, accessible learning environment for all students, including those with disabilities or special needs. This policy applies to all students, staff, and learning spaces, full- or part-time.

Please note that there are three semesters as intake periods as noted on the academic calendar.
Scholarship Awarded (Total Fee: €100)

Registration is done online.