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Start 4 June 2026 06:04

Einde 4 June 2026

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Generative AI For Business Leaders

Discover the essential aspects of generative AI tailored for business leaders at the Pragmatic Institute. This course provides a comprehensive understanding of AI fundamentals, its applications in business, benefits, limitations, and the ethical considerations every leader should be aware of. Designed specifically for non-technical leaders, t.
via Pragmatic Institute

13 Cursussen


7 hours

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Beginner

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Overzicht

Ideal for those without an analytics or data background, you’ll get a foundational understanding of how the technology works and how to use it to meet business objectives. By the end of this course you’ll be able to weigh the benefits of AI and gAI, as well as understand the limitations, tradeoffs, and legal and ethical implications.

Lesprogramma

  • Introduction to Generative AI
  • Overview of AI and Generative AI
    History and Evolution of AI in Business
  • Understanding Generative AI Technologies
  • Key Concepts and Terminology
    Common Generative AI Models (e.g., GPT, DALL-E)
    How Generative AI Works
  • Business Applications of Generative AI
  • Use Cases Across Industries
    Case Studies and Success Stories
    Identifying Opportunities for AI in Your Business
  • Evaluating the Benefits of Generative AI
  • Efficiency and Cost Reduction
    Enhancing Creativity and Innovation
    Competitive Advantage and Differentiation
  • Limitations and Tradeoffs of Generative AI
  • Technical Limitations and Challenges
    Resource and Implementation Considerations
    Balancing AI with Human Expertise
  • Ethical and Legal Implications
  • Data Privacy and Security Concerns
    Addressing Bias and Fairness
    Understanding AI Regulations and Compliance
  • Implementing Generative AI in Business Strategy
  • Creating an AI Roadmap
    Integrating AI with Existing Systems
    Measuring Success and ROI
  • Conclusion and Future Trends
  • Emerging Technologies in AI
    The Future of Generative AI in Business
    Continuous Learning and Adaptation
  • Resources and Further Reading

Vakgebieden

Computer Science