Generative AI for Business Leaders

Course Summary

This course provides business leaders with a clear understanding of Generative AI, its business applications, and its strategic impact on decision-making. Through real-world case studies and discussions, participants will explore how Generative AI enhances business outcomes while addressing key ethical, legal, and operational challenges.

Purpose
Describe the concepts and potential impact Gen AI can have on business decisions
Audience
Leaders with an interest  in understanding how AI can drive innovation in business
Role
Business Leaders | Departmental Managers | Product Managers
Skill level
Introduction
Style
Lecture | Facilitated Discussions | Case Studies
Duration
2 days
Related technologies
AI/ML

 

Course objectives
  • Understand Generative AI’s capabilities and business impact
  • Explore practical applications of Generative AI in various business contexts
  • Address ethical, regululatory, and operational challenges of implementing Generative AI
  • Enable participants to envision strategies for leveraging Generative AI to enhance business outcomes

What you'll learn:

In this Generative AI for Business Leaders course, you'll learn:
  • Introduction to Generative AI
    • Defining Generative AI and its relevance for businesses
    • Distinguishing Generative AI from other AI approaches
    • Key benefits and potential applications
  • Generative Models Overview
    • Overview of modern Generative AI models
    • Understanding how Generative models generate text, images, and data
    • Practical examples of Generative AI applications
  • Marketing and Personalization
    • Content generation for marketing campaigns and personalized experiences
    • Enhancing customer engagement with AI-driven chatbots and virtual assistants
    • Case studies showcasing effective marketing strategies
  • Ethical Considerations and Challenges
    • Addressing bias, misinformation, and fairness in Generative AI applications
    • Navigating legal risks, data provacy laws, and compliance requriements
    • Ensuring transparency, accountability, and responsible AI governance
  • Business Strategy and Future Trends
    • Identifying opportunities for integrating Generative AI into business operations
    • Trends and potential impacts on industries
    • Creating a preliminary roadmap for adopting Generative AI
  • Real-world Applications and Discussion
    • In-depth analysis of practical Generative AI use cases across industries
    • Facilitated discussions on challenges and opportunities

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