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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.
- Personalisation 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 organisation.
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 organisation 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 in 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
Testimonials (1)
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