Generative AI for Business Leaders Workshop 

Course Objectives:

• Equip business leaders with a strong understanding of Generative AI concepts and applications.

• Explore practical use cases and strategies for leveraging Generative AI across industries.

• Foster discussions on ethical considerations and responsible AI deployment.

• Empower participants to drive innovation and competitiveness using Generative AI.

Prerequisites:

• Basic familiarity with artificial intelligence (no technical background required).

• A genuine interest in how AI can transform businesses.

Course Length: 4 Days

Course Structure:

Module 1: Demystifying Generative AI

• Generative AI Fundamentals

  • Defining Generative AI and its role in business innovation.

  • Differentiating Generative AI from other AI approaches.

  • Overview of Generative models and their significance.

• Generative Models in Depth

  • Deep dive into key Generative models: Autoencoders, VAEs, GANs.

  • Understanding how Generative models generate data and content.

  • Real-world examples of applications in various industries.

Module 2: Business Applications of Generative AI

• Marketing and Personalization

  • Content generation for marketing campaigns and tailored customer experiences.

  • Strategies for using Generative AI to enhance customer engagement.

  • Case studies showcasing successful marketing campaigns.

• Product Innovation and Design

  • Enhancing product development through prototyping and customization.

  • Using Generative AI to streamline design processes and create unique offerings.

  • Case studies in industries like fashion, automotive, and more.

Module 3: Ethical Considerations and Strategic Implementation

• Ethics and Responsible AI

  • Addressing bias, fairness, and ethical considerations in Generative AI.

  • Navigating legal and privacy challenges.

  • Strategies for ensuring transparency and accountability.

• Future Trends and Strategic Implementation

  • Emerging trends in Generative AI research and industry adoption.

  • Identifying business opportunities and strategic advantages.

  • Planning for successful integration and deployment.

Module 4: Putting Generative AI into Action

• Industry Case Studies

  • In-depth analysis of practical Generative AI use cases across diverse industries.

  • Learning from successful implementations and challenges faced.

• Strategy Development and Closing

  • Collaborative discussions on integrating Generative AI into business operations.

  • Crafting a strategic roadmap for leveraging Generative AI.

  • Recap of key takeaways and concluding remarks.

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