Course Outline

Introduction to AI and Generative AI

  • What is Artificial Intelligence?
  • Understanding Generative AI and its business relevance
  • Key terms and concepts in Generative AI

Overview of Generative AI Technologies

  • Types of Generative AI models
  • Basic principles of machine learning and neural networks
  • Introduction to Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)

Business Applications of Generative AI

  • Generative AI in product development and design
  • Marketing and content generation with Generative AI
  • Personalization and customer experience enhancement

Strategic Implications of Generative AI

  • Competitive advantages with Generative AI
  • Integrating Generative AI into business strategy
  • Case studies of successful Generative AI applications

Ethical and Legal Considerations

  • Ethical concerns with Generative AI (deepfakes, bias)
  • Intellectual property and legal implications
  • Developing a responsible AI framework in your organization

Leading AI Teams and Projects

  • Building and managing AI teams
  • Project management for AI initiatives
  • Communicating AI concepts to non-technical stakeholders

Preparing for an AI-Driven Future

  • Keeping up with AI trends and research
  • Future predictions for Generative AI
  • Preparing your organization for AI transformation

Workshop and Interactive Sessions

  • Interactive discussions on AI strategy
  • Workshop on evaluating AI opportunities in your business
  • Role-playing AI decision-making scenarios

Summary and Next Steps

Requirements

  • An understanding of basic business operations and strategy
  • Experience with leading teams or managing projects
  • Openness to embracing new technologies in business practices

Audience

  • Business managers and executives
  • Entrepreneurs and business owners
  • Professionals interested in the strategic implications of AI
 21 Hours

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