Applied Artificial Intelligence: Creating Business Outcomes

About

This summer course will introduce students to the practical application of AI, particularly generative AI models, across various business functions. Students will learn how to leverage AI-powered tools and techniques to drive innovation, enhance business operations, and create competitive advantage. Through case studies and hands-on projects, students will gain a comprehensive understanding of how to effectively implement and govern AI solutions within a business context.

Course leader

Béla P. Sándor, Haarlem University of Applied Science (Lecturer and Entrepreneur). Béla is a business strategy and digital business advisor whose primary focus is in creating business outcomes through developing innovative business strategies.

Target group

Target group not limited = average students are young professionals and university students.

Prerequisites
Intermediate level of English (at least B1/B2)

Course aim

Acquired skills

Provide an understanding of the fundamentals of AI, with a focus on generative AI models and their capabilities.
Develop the ability to identify and prioritize business problems that can be solved using generative AI.
Learn how to apply the AI Canvas and FASt framework to design and evaluate AI-powered business solutions.
Gain experience in using generative AI tools to find innovative solutions across different business functions.
Cultivate an appreciation for the strategic, operational, and organizational aspects of implementing AI in a business context.
Develop skills in integrating AI into existing business processes and leading organizational change.
Understand the importance of AI governance, ethics, and responsible deployment to mitigate risks and bias.
Examine real-world case studies and best practices in applying generative AI to drive business outcomes.

Schedule:
Day 1
Introduction to AI and Generative AI Models • AI's Impact on Business and Industry • Identifying AI Use Cases for Business • Devel
oping a group-based project

Day 2
AI-Driven Business Strategy and Competitive Analysis • The AI Canvas and FASt Framework • Applying Generative AI for Ideation and Innovation

Day 3
Generative AI in Marketing and Customer Experience • Content Creation, Personalization, and Customer Insights • Case Studies and Best Practices

Day 4
Generative AI in Operations and Supply Chain Optimization • Predictive Maintenance, Forecasting, and Process Automation • Hands-on Workshop: Applying AI to Operations

Day 5
Generative AI in Finance and Accounting • Financial Forecasting, Risk Assessment, and Fraud Detection

Day 6
Generative AI in Human Resources • Recruitment, Talent Management, and Workforce Planning • Case Studies

Day 7
AI Ethics and Governance Frameworks • Bias Mitigation, Transparency, and Responsible AI Deployment • AI Ethics and Organizational Adoption

Day 8
Integrating AI into Existing Business Processes • Change Management and Organizational Transformation • Developing an AI Implementation Plan for the Group Project

Day 9
Student Project Work Time • One-on-One Mentoring and Feedback

Day 10
Student Presentations of AI Business Solutions • Peer and Instructor Feedback • Course Wrap-up and Reflections

Fee info

Early bird fee 850EUR until 31.12.2024