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Jeanne Beatrix Law

Discover the future of grant writing with a new short course from Kennesaw State University on "Leveraging Generative AI for Grant Writing," This innovative course is designed for adult learners who want to transform their grant writing skills by harnessing the power of generative AI. The course begins with a solid foundation in prompt engineering—an essential technique for crafting precise and effective instructions to AI assistants like ChatGPT.

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Discover the future of grant writing with a new short course from Kennesaw State University on "Leveraging Generative AI for Grant Writing," This innovative course is designed for adult learners who want to transform their grant writing skills by harnessing the power of generative AI. The course begins with a solid foundation in prompt engineering—an essential technique for crafting precise and effective instructions to AI assistants like ChatGPT.

Learners will be guided through the Rhetorical Prompt Engineering Method, ensuring their AI-generated content meets the four ethical qualifiers of output. Through engaging exercises and real-time demonstrations, learners will use generative AI can streamline every aspect of the grant writing process, from crafting compelling solicitation letters to structuring detailed proposals. By the end of this course, learners will be equipped to create high-quality, persuasive grant proposals.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores the use of generative AI in grant writing, a technique that aligns with industry trends
Provides a solid foundation in prompt engineering, enhancing learners' understanding of how to communicate with generative AI
Uses the Rhetorical Prompt Engineering Method, ensuring learners can generate ethical and effective content
Guides learners through the entire grant writing process, from solicitation to proposal, leveraging generative AI to enhance efficiency
Teaches learners how to create high-quality, persuasive grant proposals using generative AI
Taught by Jeanne Beatrix Law, an experienced instructor in grant writing

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Reviews summary

Leveraging ai for grant writing efficiency

According to students, this course provides a solid foundation in prompt engineering for grant writing, helping learners streamline proposal development. It covers ethical considerations using the Rhetorical Prompt Engineering Method, making AI application both effective and responsible. While offering practical tools for crafting compelling solicitation letters and detailed proposals, some learners might seek more advanced or broader AI tool coverage beyond ChatGPT. Overall, it's considered a valuable resource for professionals aiming to enhance efficiency and quality in their grant applications.
Balances foundational concepts, potentially basic for advanced users.
"As an experienced grant writer, I found some initial sections a bit basic, but it built up to useful AI applications."
"I wish there were more advanced techniques or case studies for highly complex grant scenarios."
"For a beginner to intermediate user, the pacing felt just right, providing a solid grounding without being overwhelming."
Emphasizes responsible AI application through a unique method.
"The Rhetorical Prompt Engineering Method for ethical output was a crucial and distinguishing aspect of the course."
"It's reassuring that the course covers the ethical qualifiers for AI-generated content; it made me trust the technology more."
"I appreciated the deep dive into ethical AI use, ensuring our grant writing remains credible and responsible."
Delivers actionable strategies to enhance grant writing efficiency.
"I can immediately apply the strategies learned to my current grant proposals and have already seen improved efficiency."
"The course helped me see how AI can truly streamline the entire grant writing process, from start to finish."
"I feel much more confident leveraging AI to create higher-quality, persuasive grant documents, saving significant time."
Equips learners with essential skills for effective AI interaction.
"I found the focus on prompt engineering incredibly helpful; it's essential for getting useful AI outputs."
"The course clearly articulates how to craft precise prompts, which is a game-changer for my grant applications."
"It really broke down the art of prompting, making complex AI interactions feel much more accessible and practical for real-world grant writing."
Primarily focuses on one AI model, might benefit from broader examples.
"While focusing on ChatGPT is practical, I hoped for a brief overview or comparison with other generative AI tools."
"The course is very strong on prompt engineering but could expand to touch on other AI platforms beyond the primary one."
"I understand why ChatGPT was chosen, but future iterations might benefit from discussing other relevant AI assistants."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AI for Grant Writing with these activities:
Review Prompt Engineering Fundamentals
Start the course with a solid understanding of prompt engineering to improve the quality of AI-generated content.
Browse courses on Prompt Engineering
Show steps
  • Review the basics of prompt engineering, including its role and components.
  • Practice writing clear and specific prompts that align with the desired AI output.
  • Experiment with different prompt engineering techniques to optimize results.
Review Rhetorical Prompt Engineering Method
Ensure ethical considerations in your AI usage by reviewing the Rhetorical Prompt Engineering Method.
Show steps
  • Familiarize yourself with the four ethical qualifiers for AI output.
  • Learn how to apply the Rhetorical Prompt Engineering Method to generate AI content that meets ethical standards.
Provide Peer Review and Support
Enhance your understanding and retention by sharing knowledge and providing constructive feedback to fellow learners.
Browse courses on Peer Review
Show steps
  • Connect with peers and form study groups.
  • Review and provide feedback on AI-generated grant proposal drafts.
  • Discuss best practices for prompt engineering and AI usage in grant writing.
Show all three activities

Career center

Learners who complete AI for Grant Writing will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 33 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AI for Grant Writing.
Provides a comprehensive guide to prompt engineering, covering techniques for crafting effective inputs to generative AI models. It's particularly useful for understanding how to obtain reliable and predictable results, which is crucial for both beginners and those looking to deepen their practical skills. This book is valuable as a current reference for anyone working with generative AI.
Provides a practical guide to using generative AI, covering the different techniques and tools available. It is written by two leading experts in the field, Josh Patterson and Adam Gibson.
Offers a practical, hands-on approach to prompt engineering specifically with ChatGPT. It's an excellent resource for high school and undergraduate students getting started, providing clear examples and exercises. It serves as a useful introductory guide and additional reading to complement foundational AI courses.
Provides a hands-on approach to prompt engineering with a focus on using the OpenAI API. It's particularly relevant for undergraduate students, graduate students, and working professionals who want to programmatically interact with LLMs. It serves as a practical guide for implementing prompt engineering techniques in applications.
Focuses on the creative aspects of prompt engineering and generating diverse language outputs. It's a good fit for students and professionals looking to go beyond basic prompting and explore more advanced techniques for creative content generation. It adds breadth by covering applications in areas like creative writing and podcasting.
This guide aims to make prompt engineering accessible with a step-by-step approach. It is well-suited for beginners and those new to the field, including high school students and those in introductory undergraduate programs. It provides practical tips and is useful for gaining a broad understanding of how to formulate effective AI prompts.
A comprehensive guide aimed at making prompt engineering accessible to a wide audience. It covers various techniques and applications for leveraging AI language models effectively. is useful for high school students through working professionals seeking a thorough introduction and practical guidance.
This guide offers quick tips and tricks for prompt engineering across different generative AI models, including text and image generation models. It's a practical resource for users who want to improve their immediate results with various AI tools. It's suitable for all levels looking for actionable advice.
This handbook is geared towards engineers working with LLMs, covering the process from concept to production. It provides a deeper technical understanding of integrating and managing LLMs, which is relevant for prompt engineers working in a development context. It is best suited for graduate students and working professionals.
Provides a business-oriented perspective on generative AI, discussing its potential impact on industries and how companies can use it to gain a competitive advantage. It is written by three leading experts in the field, Thomas Davenport, Rajeev Ronanki, and Nitin Mittal.
Provides a thought-provoking exploration of the future of generative AI, discussing its potential benefits and risks. It is written by Gary Marcus, a leading researcher in the field.
While not solely focused on prompt engineering, this book provides a strong foundation in understanding how LLMs work, which is essential for effective prompting. It's suitable for undergraduate and graduate students, offering technical insights into language understanding and generation. It serves as valuable background reading for those wanting to understand the underlying mechanisms of the models they are prompting. Expected publication in September 2024.
Explores prompt engineering within the broader context of generative AI and touches upon ethical considerations. It's relevant for all levels, providing a balanced view of the technical aspects and the societal impact of generative AI. It's useful for gaining a broader understanding and considering the responsible use of AI.
This practical guide provides step-by-step instructions for writing successful grant proposals, including tips and templates.
Covers the broader field of AI engineering with a focus on foundation models, which include the LLMs used in prompt engineering. It's relevant for professionals and graduate students interested in the engineering aspects of building AI applications. It provides context on how prompt engineering fits into larger AI systems.
This workbook provides exercises and activities to help grant writers develop their skills and improve their proposals.
This undergraduate-level textbook introduces the principles and techniques of grant writing, providing a foundation for further study.
Focuses on the practical aspects of building NLP systems. While prompt engineering specific technique, understanding the entire NLP pipeline is beneficial for professionals. It's a good reference for those looking to implement prompt engineering within larger NLP applications.
This classic and widely-referenced textbook in the field of NLP. While it predates the latest advancements in LLMs and prompt engineering, it provides a foundational understanding of language processing, which is crucial for anyone serious about the field. It's highly recommended for undergraduate and graduate students as a comprehensive reference for core NLP concepts.
Explores the relationship between generative AI and the creative process, discussing how generative AI can be used to enhance creativity. It is written by Margaret Boden, a leading researcher in the field.
Widely used introduction to NLP using the NLTK library in Python. It's excellent for beginners and undergraduate students to gain practical skills in processing and analyzing text data, which fundamental prerequisite for prompt engineering. It serves as a hands-on guide for learning the basics of NLP.
For those who want to understand the mechanics of LLMs deeply, this book guides you through building one from scratch. This is highly technical and suitable for advanced undergraduate students, graduate students, and researchers. A deep understanding of LLM architecture is beneficial for advanced prompt engineering techniques.
Is specifically aimed at educators but offers valuable insights into crafting prompts for educational purposes. It's relevant for anyone interested in using prompt engineering in a learning context. It provides practical strategies and examples for a specific application domain.
A foundational text in statistical NLP, this book provides the theoretical background necessary for understanding many of the techniques used in modern LLMs. It's a valuable resource for graduate students and researchers looking to deepen their understanding of the statistical underpinnings of language models. It is more theoretical and serves as a strong reference for advanced learners.
A beginner-friendly guide to using ChatGPT. is ideal for high school students and those new to generative AI who want a straightforward introduction to interacting with models. It focuses on practical usage and good starting point before diving into more complex prompt engineering concepts.
Explores the potential applications of generative AI in healthcare, discussing how it could be used to improve patient care and accelerate drug discovery. It is written by Eric Topol, a leading researcher in the field.
Explores the philosophical implications of generative AI, discussing how it challenges our understanding of mind and consciousness. It is written by Daniel C. Dennett, a leading philosopher in the field.
Explores the potential applications of generative AI in climate change, discussing how it could be used to model climate change and develop solutions. It is written by Andrew Ng, a leading researcher in the field.
Explores the potential impact of generative AI on the law, discussing how it could be used to automate legal processes and improve access to justice. It is written by Ryan Abbott, a leading researcher in the field.
Explores the potential impact of generative AI on the economy, discussing how it could be used to create new jobs and improve productivity. It is written by two leading experts in the field, Erik Brynjolfsson and Andrew McAfee.
Explores the potential impact of generative AI on society, discussing how it could be used to solve social problems and improve quality of life. It is written by Kai-Fu Lee, a leading researcher in the field.

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