Generative AI For Business Leaders

Overview

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.

Syllabus

• 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

Subjects

Computer Science