This course equips you with a comprehensive understanding of generative AI, from its foundational technologies and practical applications to crafting effective prompts and strategic industry use. Dive deep into the ethical considerations, addressing biases and privacy concerns, and learn to implement safeguards to ensure fair and responsible AI deployment.
Harnessing Generative AI was developed by Ben Jones, Data Literacy CEO and Professor of Data Visualization Theory at The University of Washington’s Foster School of Business.
- What is Generative AI? Learn what generative AI is including examples of current technologies.
- The Technology Behind Generative AI: Understand generative AI’s underlying technologies, such as neural networks and transformers.
- Effective Prompting of Generative AI: Master effective prompting strategies to craft, test, and refine prompts, enhancing the accuracy and relevance of AI-generated content through strategic adjustments and feedback.
- Strategic Applications of Generative AI: Explore generative AI tools and techniques in real-world contexts, such as content creation and data analysis.
- Avoiding Generative AI Pitfalls: Discover strategies to mitigate risks and enhance the safety and fairness of generative AI implementations.
- Ethical Considerations of Generative AI: Identify and evaluate ethical concerns and biases in AI applications, including potential impacts on privacy and data security.
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