Generative AI for Business

Course Objectives:

• Introduce business roles to the concept of Generative AI and its potential impact.

• Highlight practical applications of Generative AI in various business contexts.

• Discuss ethical considerations and challenges in deploying Generative AI.

• Enable participants to envision strategies for leveraging Generative AI to enhance business outcomes.

Prerequisites:

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

• An interest in understanding how AI can drive innovation in business.

Course Duration: 2 days

Module 1: Introduction to Generative AI

• Defining Generative AI and its relevance for businesses.

• Distinguishing Generative AI from other AI approaches.

• Key benefits and potential applications.

Module 2: Generative Models Overview

• Brief overview of Generative models: Autoencoders, VAEs, GANs.

• Understanding how Generative models create data and content.

• Practical examples of Generative AI applications.

Module 3: Marketing and Personalization

• Content generation for marketing campaigns and personalized experiences.

• Leveraging Generative AI to enhance customer engagement.

• Case studies showcasing effective marketing strategies.

Module 4: Ethical Considerations and Challenges

• Addressing bias and fairness in Generative AI applications.

• Navigating legal and ethical implications.

• Ensuring transparency and accountability.

Module 5: 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.

Module 6: Real-world Applications and Discussion

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

• Facilitated discussions on challenges and opportunities