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Jeanne Beatrix Law

This practical course is designed for executives, team leaders, and administrative professionals seeking to enhance their communication skills by leveraging generative AI in various professional contexts. This course will guide participants through the fundamentals of AI-infused professional communication, including drafting emails, creating meeting agendas, summarizing documents, and producing compelling social media content. The professor will utilize a tested Rhetorical Prompt Engineering Framework to ensure that participants learn to leverage the most useful, relevant, accurate, and ethical outputs when collaborating with generative AI Assistants.

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This practical course is designed for executives, team leaders, and administrative professionals seeking to enhance their communication skills by leveraging generative AI in various professional contexts. This course will guide participants through the fundamentals of AI-infused professional communication, including drafting emails, creating meeting agendas, summarizing documents, and producing compelling social media content. The professor will utilize a tested Rhetorical Prompt Engineering Framework to ensure that participants learn to leverage the most useful, relevant, accurate, and ethical outputs when collaborating with generative AI Assistants.

This course provides point-of-need demos and simulations of prompting for professional communication outputs. It provides participants with the skills to explain how the steps of the Rhetorical "Rhet" Shot Engineering framework influence communication effectiveness, analyze communication scenarios to determine the appropriate audience, tone, and style using the framework, create compelling communication pieces tailored to specific purposes, audiences, and genres using the Rhetorical "Rhet" Shot Engineering framework, and evaluate communication outputs generated by AI Assistants using the framework's criteria, recommending improvements for tone, style, and content.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Teaches AI-infused professional communication through a practical framework
Guides learners through various professional communication scenarios
Suitable for executives, team leaders, and administrative professionals aiming to enhance communication skills
Includes point-of-need demos and simulations to enhance learning
Provides hands-on practice in creating compelling communication pieces
Covers evaluating communication outputs generated by AI Assistants

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Reviews summary

Ai for communication: practical prompt engineering

According to learners, this course offers a practical and actionable approach to using AI in professional communication, particularly excelling with its unique Rhetorical Prompt Engineering Framework. Many students found the hands-on demos and actionable strategies for tasks like drafting emails, creating meeting agendas, and summarizing documents to be incredibly useful. The instructor is consistently praised for being clear and knowledgeable. While largely positive, some learners with prior AI experience found the content somewhat basic and desired more advanced scenarios or deeper dives into specific AI tools. The course is best suited for professionals new to leveraging AI for communication.
Instructor is knowledgeable, clear, and easy to follow.
"The instructor was clear, concise, and really knew their stuff."
"The instructor was knowledgeable."
"I appreciated the emphasis on ethical AI use..."
Offers immediately applicable skills for workplace communication.
"I particularly found the hands-on demos for drafting emails and social media content incredibly useful."
"This course provided actionable strategies using AI that I could implement immediately."
"The practical nature of the course makes it stand out. Highly relevant for today's workplace."
Provides a unique and effective method for AI communication.
"The Rhetorical Prompt Engineering Framework is a game-changer for professional communication."
"The framework is unique and provides a structured way to think about prompting."
"This course provided actionable strategies using AI... The modules on creating meeting agendas and refining tone with AI were particularly insightful."
Ethical considerations are touched upon but could be more in-depth.
"I felt there wasn't enough emphasis on ethical considerations beyond a brief mention."
"I also appreciated the emphasis on ethical AI use, though some might want more."
Some learners seek more advanced techniques and case studies.
"I would have liked more advanced scenarios."
"I wished there were more real-world case studies for complex communication challenges."
"I was hoping for more advanced techniques or a deeper dive into specific AI tools."
Content may be too basic for experienced AI users.
"I felt some of the content was a bit basic, especially if you already have some experience with generative AI."
"Might be better for absolute beginners."
"I would say it's more geared towards those starting out with AI, rather than advanced users."

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 Professional Communication with these activities:
Review key concepts of professional communication
Solidify your foundational understanding of clear and effective communication principles to enhance your participation in the course.
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  • Revisit core concepts of communication theory, including the communication process, barriers, and channels.
  • Review best practices for writing professional emails, including structure, tone, and language.
  • Recall strategies for effective meeting facilitation, such as agenda preparation and active listening.
Organize and review course materials for effective knowledge retention
Enhance your learning experience by organizing and reviewing course materials in a structured manner.
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  • Gather all relevant course materials, including lecture notes, readings, and assignments.
  • Create a system for organizing these materials, such as using folders, binders, or digital note-taking apps.
  • Review course materials regularly to reinforce your understanding and identify areas for further study.
Explore AI writing tools for professional communication
Familiarize yourself with the capabilities and limitations of AI writing tools to enhance your efficiency and accuracy in professional writing tasks.
Browse courses on Generative AI
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  • Identify and research different AI writing tools available for professional communication.
  • Follow online tutorials or workshops to learn how to use these tools effectively.
  • Experiment with different AI writing prompts and settings to understand their strengths and weaknesses.
Five other activities
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Show all eight activities
Attend expert-led workshops on generative AI for professional communication
Expand your knowledge and skills by attending workshops led by industry experts who specialize in generative AI applications for professional communication.
Browse courses on Generative AI
Show steps
  • Identify and register for relevant workshops offered by professional organizations or training providers.
  • Actively participate in workshop sessions, taking notes and asking questions to enhance your understanding.
  • Network with other professionals and experts in the field of generative AI and professional communication.
Draft a persuasive email campaign
Demonstrate your ability to apply the Rhetorical Prompt Engineering Framework to create compelling and impactful email content.
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  • Identify a specific audience and communication goal for your email campaign.
  • Develop a clear and concise email subject line that captures the attention of your readers.
  • Craft an engaging and informative email body that persuades your audience to take action.
  • Proofread and edit your email campaign carefully for clarity, tone, and grammar.
Generate and evaluate AI-assisted communication outputs
Enhance your critical thinking and analytical skills by evaluating the outputs of AI writing tools using the Rhetorical Prompt Engineering Framework.
Browse courses on Generative AI
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  • Use AI writing tools to generate communication outputs (e.g., emails, meeting agendas).
  • Analyze the outputs using the Rhetorical Prompt Engineering Framework, considering factors such as relevance, accuracy, tone, and style.
  • Provide constructive feedback to the AI tool to improve its performance.
Offer guidance to fellow learners on AI-infused professional communication
Contribute to the learning community by providing support and guidance to other learners who are exploring the intersection of generative AI and professional communication.
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  • Identify opportunities to engage with other learners through online forums, discussion boards, or study groups.
  • Share your knowledge and experiences related to AI-infused professional communication, offering insights and advice.
  • Provide constructive feedback on others' work and encourage their growth and development.
Develop a communication plan for a specific project or initiative
Integrate the principles of generative AI and the Rhetorical Prompt Engineering Framework into a comprehensive communication plan that aligns with your specific project or initiative.
Browse courses on Communication Planning
Show steps
  • Define the communication goals and objectives for your project or initiative.
  • Identify key stakeholders and their communication needs.
  • Develop a communication strategy that leverages AI tools and the Rhetorical Prompt Engineering Framework to deliver tailored messages.
  • Create a communication schedule and budget.
  • Monitor and evaluate the effectiveness of your communication plan and make adjustments as needed.

Career center

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

Reading list

We've selected 48 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 Professional Communication.
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.
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.
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.
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.
Practical guide to writing effective emails. It covers a wide range of topics, including writing for different audiences, using persuasive language, and avoiding common mistakes. The author well-known marketing expert, and the book is packed with tips and advice that can help you improve your email writing in a business context.
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.
Provides a comprehensive overview of social media marketing, with a focus on strategy and planning.
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 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.
Comprehensive guide to email writing, covering everything from etiquette and tone to grammar and punctuation. It is written in a clear and concise style, with plenty of examples and exercises to help you improve your writing skills.
Comprehensive guide to email writing, covering everything from etiquette and tone to grammar and punctuation. It is written in a clear and concise style, with plenty of examples and exercises to help you improve your writing skills.
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.
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.
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.
Practical guide to email marketing. It covers a wide range of topics, including building an email list, creating effective email campaigns, and tracking your results. The author well-known marketing expert, and the book is packed with tips and advice that can help you improve your email marketing efforts.
Comprehensive guide to email marketing, covering everything from building an email list to creating effective email campaigns and tracking your results. The author well-known marketing expert, and the book is packed with tips and advice that can help you improve your email marketing efforts.
Comprehensive guide to email marketing, covering everything from building an email list to creating effective email campaigns and tracking your results. The author well-known marketing expert, and the book is packed with tips and advice that can help you improve your email marketing efforts.
Comprehensive guide to email marketing, covering everything from building an email list to creating effective email campaigns and tracking your results. The author well-known marketing expert, and the book is packed with tips and advice that can help you improve your email marketing efforts.
Comprehensive guide to email marketing, covering everything from building an email list to creating effective email campaigns and tracking your results. The author well-known marketing expert, and the book is packed with tips and advice that can help you improve your email marketing efforts.
Explores the use of artificial intelligence techniques for document summarization, covering both theoretical foundations and practical applications.
Provides a practical guide to building and deploying document summarization applications using natural language processing and machine learning techniques.
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.
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.
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.
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.
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.
Concise guide to email etiquette. It covers all the basics, such as how to address emails, how to use proper grammar and punctuation, and how to avoid common mistakes. It great resource for anyone who wants to improve their email communication skills.
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.
Offers practical guidance for summarizing scientific documents, covering aspects such as identifying key points, organizing information, and writing concise summaries.
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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