Prompt Engineering Jobs: Your 2025 Career Guide
January 14, 2025
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Some experience managing technical staff is helpful but not required for the specialization.
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Beginner level
Some experience managing technical staff is helpful but not required for the specialization.
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This course on AI for Decision Makers explores the growing use of AI across disciplines and its potential benefits and challenges. The course covers necessary context, such as discussing what AI is, how it works, Ethical considerations, and policy considerations. Through exploring the many AI possibilities at your fingertips, you will build leadership skills for helping your business, lab, organization, or community work more efficiently, creatively, and ethically.
Unique Features of this Course - Explanation of AI with minimal jargon - Beginner friendly for those who want to get started learning how to leverage generative AI - Focus on the application for busy workplace leaders - Emphasis on responsible and ethical use of AI - Useful ideas for how to leverage tools to make your work better and more efficient - A fun and playful approach to learning Key Words Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), Data Science, Technology Leadership, Technology-driven Workplace Intended Audience - Professionals looking to understand AI at a strategic level - Industry and non-profit leaders and decision makers - Anyone curious about how AI can be harnessed for technology Learning Objectives - Identify common technologies and whether or not they are AI - Explain the essential "behind the scenes" technology of how AI works - Identify possibilities for using AI while understanding its limitations - Describe key ethical concerns for using AI tools - Recognize real-world examples of AI usage that has resulted in ethical debate - Identify possible mitigation strategies for major ethical concerns with regard to the algorithms underlying AI tools - Describe components of LLMs and other AI models and how training data is critical to their accuracy - Identify what kinds of customizations and staffing needs your AI project requires - Discuss a variety of low to high investment strategies for meeting customized knowledge needs - Identify the key elements of a good AI policy - Identify key legal categories relevant to AI use, including intellectual property, data privacy, and liability - Identify strategies for building flexible and adaptable AI policies, such as living documents and separate best practices guidelines Accessibility We are committed to making our content accessible and available to all. We welcome any feedback you might have at https://forms.gle/3sTZpctxzYyhj74NA. Questions related to accessibility accommodations should be directed to https://studentserviceportal.force.com/s/.
This course is made up of four minicourses and describes key information regarding AI for decision makers. This first module explains the structure of the content and the motivation.
1 video2 readings
This minicourse on Exploring AI Possibilities for Decision Makers explores the growing use of AI across disciplines and its potential benefits and challenges.
7 videos7 readings5 assignments4 discussion prompts
This minicourse is intended to introduce some of the major ethical issues related to using and developing AI tools, as well as possible general mitigation strategies for those in decision making positions. It also introduces real-world examples of situations that revealed troubling ethical concerns. The course is not meant to replace legal or ethical counsel, but rather to introduce topics to help such discussions.
7 videos9 readings7 assignments5 discussion prompts
This minicourse is designed to equip participants with resource and project considerations when undertaking any AI project. Participants will gain an understanding of the decision-making process between adopting pre-built AI products and constructing custom models, taking into account project complexity and customization requirements.
9 videos8 readings7 assignments5 discussion prompts
This minicourse is intended to equip you with the knowledge you need to develop an effective AI policy for your organization.
10 videos9 readings6 assignments6 discussion prompts
Fred Hutchinson Cancer Center unites individualized care and advanced research to provide the latest cancer treatment options while accelerating discoveries that prevent, treat and cure cancer and infectious diseases worldwide. Based in Seattle, Fred Hutch is an independent, nonprofit organization and the only National Cancer Institute-designated cancer center in Washington. We have earned a global reputation for our track record of discoveries in cancer, infectious disease and basic research, including important advances in bone marrow transplantation, immunotherapy, HIV/AIDS prevention and COVID-19 vaccines. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services and has network affiliations with hospitals in four states. Fred Hutch also serves as UW Medicine’s cancer program.
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