Natural Language Processing (NLP) and Generative Artificial Intelligence (GenAI) are fundamentally changing how organizations create value, interact with customers, automate knowledge work, support decision-making, develop products, manage operations, and accelerate innovation. Unlike earlier generations of artificial intelligence that focused primarily on prediction and classification, modern language models can generate content, summarize complex information, analyze documents, answer questions, assist employees, support software development, and enable entirely new categories of products and services. Executive leaders must therefore understand not only what these technologies can do, but also how to govern, deploy, evaluate, and integrate them responsibly into enterprise strategy.
This advanced course provides a practical, executive-oriented study of NLP and Generative AI from a business leadership perspective. Rather than focusing on machine learning algorithms or deep programming, the course emphasizes how executives identify high-value business use cases, evaluate AI platforms, oversee enterprise deployment, redesign workflows, govern AI risks, measure business outcomes, and lead organizational transformation enabled by language technologies. Students will examine real-world applications across customer service, finance, legal operations, healthcare, marketing, sales, human resources, software development, operations, and executive decision support.
Throughout the course, emphasis is placed on practical frameworks used by Chief Executive Officers (CEOs), Chief Artificial Intelligence Officers (CAIOs), Chief Digital Officers (CDOs), Chief Information Officers (CIOs), Chief Data Officers (CDOs), Chief Product Officers (CPOs), consulting firms, multinational corporations, technology companies, financial institutions, healthcare organizations, manufacturers, retailers, legal organizations, and public-sector agencies. Students will develop executive-level capabilities required to lead organizations through the next generation of AI-driven business transformation.
Course Objectives
By the end of this course, students will be able to:
• Evaluate strategic business opportunities created by NLP and Generative AI.
• Identify organizational processes that can be enhanced through language technologies.
• Integrate GenAI into product strategy, operations, customer experience, and enterprise decision-making.
• Design governance frameworks for enterprise AI deployment.
• Assess AI investments using business, financial, operational, and strategic criteria.
• Lead cross-functional AI implementation initiatives across multiple business functions.
• Evaluate risks involving privacy, security, intellectual property, bias, and regulatory compliance.
• Measure business performance generated by NLP and GenAI initiatives.
• Build organizational capabilities that support responsible AI adoption.
• Apply executive leadership principles to enterprise-wide AI transformation.
