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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