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Generative AI Foundations
Prompt Engineering
Hampton Paulk
Hampton Paulk
Master the art of crafting effective prompts for chatbots and generative AI. Learn techniques to get better results by tailoring prompts using attributes like length, style, perspective and examples to guide any model.
Read more
Master the art of crafting effective prompts for chatbots and generative AI. Learn techniques to get better results by tailoring prompts using attributes like length, style, perspective and examples to guide any model.
Read more
Master the art of crafting effective prompts for chatbots and generative AI. Learn techniques to get better results by tailoring prompts using attributes like length, style, perspective and examples to guide any model.
In this course, Generative AI Foundations: Prompt Engineering, you will learn how to craft better prompts to get the most out of chatbots, generative writing tools, and creative AIs. First, you will get ready to go beyond basic prompting to master advanced techniques for more accurate, nuanced responses tailored to your needs. Then, you will learn how prompt attributes like length, style, perspective, and shot-based examples can guide AI models. Finally, you will study concepts like prompt chaining for a conversational approach and flipping roles to vary context. When you are finished with this course, you will have learned best practices for managing ambiguity, over-specification, and model limitations. Whether you’re working with ChatGPT, DALL-E, or any AI system, this course will give you the prompt engineering skills to take full advantage of generative AI through precise requests and impactful examples.
Register for this course and see more details by visiting:
OpenCourser.com/course/ufap31/generative
What's inside
Syllabus
Generative AI Foundations: Prompt Engineering
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores advanced prompt engineering techniques beyond basic prompting
Teaches how prompt attributes like length, style, perspective, can guide AI models
Examines concepts like prompt chaining for a conversational approach and flipping roles to vary context
Taught by Hampton Paulk, who has been recognized for their work in generative AI
Suitable for intermediate to advanced learners who have some experience with generative AI tools
Does not include hands-on labs or interactive materials
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Generative AI Foundations: Prompt Engineering.
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Career center
Learners who complete Generative AI Foundations: Prompt Engineering will develop knowledge and skills
that may be useful to these careers:
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers specialize in developing systems that enable computers to understand and process human language. This course in Generative AI Foundations: Prompt Engineering is highly relevant as it provides techniques for crafting effective prompts, a fundamental aspect of NLP. By learning to tailor prompts using attributes like length, style, and examples, Natural Language Processing Engineers can improve the accuracy and efficiency of tasks such as sentiment analysis, text classification, and machine translation. This course empowers NLP Engineers to harness the power of generative AI to enhance the performance of natural language processing systems.
Speech Scientist
Speech Scientist
Speech Scientists research and develop technologies for speech recognition, synthesis, and processing. This course in Generative AI Foundations: Prompt Engineering aligns with a Speech Scientist's work as it provides techniques for crafting effective prompts, a key aspect of speech-based AI systems. By understanding how to tailor prompts using attributes like length, style, and examples, Speech Scientists can improve the accuracy and naturalness of speech recognition and synthesis systems. This course equips Speech Scientists with the skills necessary to advance the field of speech technology.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models to solve complex problems. This course in Generative AI Foundations: Prompt Engineering complements a Machine Learning Engineer's skillset by providing advanced techniques for crafting effective prompts. By mastering prompt attributes like length, style, perspective, and examples, Machine Learning Engineers can better guide generative AI models during training and deployment. This leads to improved model accuracy, efficiency, and interpretability, enabling Machine Learning Engineers to develop more effective and reliable AI solutions.
Data Analyst
Data Analyst
Data Analysts play a crucial role in extracting valuable insights from vast amounts of data. This course in Generative AI Foundations: Prompt Engineering aligns well with a Data Analyst's responsibilities as it provides techniques for crafting effective prompts, a skill essential for efficiently querying and analyzing large datasets. By learning to tailor prompts using attributes like length, style, and examples, Data Analysts can more precisely guide generative AI models, leading to more accurate and nuanced results. This course empowers Data Analysts to maximize the value of data by harnessing the power of generative AI.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns to promote products and services. This course in Generative AI Foundations: Prompt Engineering may be useful for Marketing Managers as it provides techniques for crafting effective prompts, a beneficial skill in creating targeted and engaging marketing content. By understanding how to tailor prompts using attributes like length, style, and examples, Marketing Managers can improve the effectiveness of their marketing campaigns and reach their target audience more effectively.
Data Scientist
Data Scientist
Data Scientists use scientific methods and statistical techniques to extract knowledge and insights from data. This course in Generative AI Foundations: Prompt Engineering may be useful for Data Scientists as it provides techniques for crafting effective prompts, a valuable skill in data exploration and analysis. By learning to tailor prompts using attributes like length, style, and examples, Data Scientists can improve the accuracy and efficiency of data extraction and modeling tasks, leading to more informed decision-making.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course in Generative AI Foundations: Prompt Engineering may be useful for Software Engineers as it provides techniques for crafting effective prompts, a beneficial skill for tasks such as natural language processing and code generation. By understanding how to tailor prompts using attributes like length, style, and examples, Software Engineers can improve the efficiency and accuracy of these tasks, contributing to the development of more sophisticated software applications.
UX Designer
UX Designer
UX Designers focus on creating user-friendly and intuitive experiences for digital products and services. This course in Generative AI Foundations: Prompt Engineering may be useful for UX Designers as it provides techniques for crafting effective prompts, a beneficial skill in designing natural language interfaces and conversational AI. By understanding how to tailor prompts using attributes like length, style, and examples, UX Designers can improve the usability and satisfaction of digital products and services.
Content Writer
Content Writer
Content Writers create written content for various purposes, such as marketing, journalism, and technical documentation. This course in Generative AI Foundations: Prompt Engineering may be useful for Content Writers as it provides techniques for crafting effective prompts, a valuable skill in generating high-quality content. By learning to tailor prompts using attributes like length, style, and examples, Content Writers can improve the accuracy, relevance, and engagement of their written content.
Technical Writer
Technical Writer
Technical Writers create documentation and other materials to explain complex technical concepts. This course in Generative AI Foundations: Prompt Engineering may be useful for Technical Writers as it provides techniques for crafting effective prompts, a valuable skill in generating clear and concise documentation. By understanding how to tailor prompts using attributes like length, style, and examples, Technical Writers can improve the accuracy and readability of their documentation, leading to a better user experience.
Project Manager
Project Manager
Project Managers plan, execute, and close projects to achieve specific goals. This course in Generative AI Foundations: Prompt Engineering may be useful for Project Managers as it provides techniques for crafting effective prompts, a valuable skill in communicating with stakeholders and managing project requirements. By learning to tailor prompts using attributes like length, style, and examples, Project Managers can improve the clarity and effectiveness of their communication, leading to more successful project outcomes.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, build, and program robots to perform various tasks. This course in Generative AI Foundations: Prompt Engineering may be useful for Robotics Engineers as it provides techniques for crafting effective prompts, a potentially valuable skill in developing natural language interfaces for robots. By learning to tailor prompts using attributes like length, style, and examples, Robotics Engineers can enhance the usability and intuitiveness of robot control and interaction.
Business Analyst
Business Analyst
Business Analysts identify and solve business problems by analyzing data and processes. This course in Generative AI Foundations: Prompt Engineering may be useful for Business Analysts as it provides techniques for crafting effective prompts, a beneficial skill in gathering requirements and documenting business processes. By understanding how to tailor prompts using attributes like length, style, and examples, Business Analysts can improve the accuracy and efficiency of their analysis, leading to more effective solutions.
Product Manager
Product Manager
Product Managers oversee the development and launch of new products and features. This course in Generative AI Foundations: Prompt Engineering may be useful for Product Managers as it provides techniques for crafting effective prompts, a valuable skill in gathering user feedback and defining product requirements. By learning to tailor prompts using attributes like length, style, and examples, Product Managers can improve the accuracy and efficiency of product development, leading to more successful product launches.
Instructional Designer
Instructional Designer
Instructional Designers create and develop educational materials and programs. This course in Generative AI Foundations: Prompt Engineering may be useful for Instructional Designers as it provides techniques for crafting effective prompts, a beneficial skill in designing engaging and interactive learning experiences. By understanding how to tailor prompts using attributes like length, style, and examples, Instructional Designers can improve the effectiveness of their materials and cater to the needs of diverse learners.
For more career information including salaries, visit:
OpenCourser.com/course/ufap31/generative
Reading list
We've selected 19 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
Generative AI Foundations: Prompt Engineering.
This textbook provides a comprehensive overview of deep learning techniques used in NLP, offering a solid foundation for understanding the underlying algorithms and models used in prompt engineering.
Peterson's book is an invaluable resource for anyone interested in the art of creating new words and languages. Besides being a useful reference tool, it's particularly useful to this course because of its sections on language typology and semantics. Together, those sections may help learners design new words with traits that suit particular needs and intentions.
This classic textbook covers the fundamentals of speech and language processing, providing a strong foundation for understanding the linguistic aspects of prompt engineering.
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Examines the history and future of AI, discussing the potential of prompt engineering and its impact on various industries and aspects of society.
Provides step-by-step instruction on the craft of novel-writing, and includes some specific advice on writing dialogue. Given this course's focus on generative AI, Frey's book may be helpful for developing both prompts and creative writing skills.
This classic style guide provides essential guidance on writing principles, usage, and structure, and, to a lesser extent, considerations of substance and argument. While this classic style guide commonly used textbook in academic institutions, it contains very precise instruction that may help learners design better prompts in this course.
This classic work explores the philosophical implications of AI and its impact on our understanding of mind and consciousness, providing a broader context for considering the ethical and societal implications of prompt engineering.
This science fiction novel tells the story of an astronaut who is stranded on Mars. It's particularly relevant to generative AI because it provides examples of problem-solving and communication under extreme conditions. While not a textbook, this work may prove useful to this course as it requires extensive description, technical detail, and written communication to convey the plot.
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Provides an insightful look at the mind of a young boy with autism. It's particularly relevant to generative AI because it provides examples of a distinctive writing style. While not a textbook in a strict sense, the insights provided may help students design prompts for AI to emulate the character's perspective.
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This historical mystery novel explores the themes of medieval scholarship, religion, and the power of knowledge. It's particularly relevant to generative AI because it provides examples of creating a believable and immersive world.
This science fiction novel explores the themes of first contact, alien civilizations, and the Fermi paradox. It's particularly relevant to generative AI because it provides examples of creating a believable and immersive world.
Save
This classic novel satirical and thought-provoking exploration of war and its effects on the human psyche. It's particularly relevant to generative AI because it provides examples of creative and unconventional storytelling techniques.
This science fiction novel complex and immersive exploration of politics, religion, and ecology. It's particularly relevant to generative AI because it provides examples of worldbuilding and character development.
Save
This dystopian novel explores the themes of oppression, gender, and power. It's particularly relevant to generative AI because it provides examples of creating a believable and immersive world.
This dystopian novel explores the themes of totalitarianism, surveillance, and the loss of individuality. It's particularly relevant to generative AI because it provides examples of creating a believable and immersive world.
This dystopian novel explores the themes of consumerism, genetic engineering, and the loss of individuality. It's particularly relevant to generative AI because it provides examples of creating a believable and immersive world.
Save
This dystopian novel explores the themes of censorship, free speech, and the power of literature. It's particularly relevant to generative AI because it provides examples of creating a believable and immersive world.
Save
This science fiction comedy explores the themes of existentialism, absurdity, and the search for meaning. It's particularly relevant to generative AI because it provides examples of creating a believable and immersive world.
This epic fantasy novel explores the themes of good versus evil, friendship, and courage. It's particularly relevant to generative AI because it provides examples of creating a believable and immersive world.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ufap31/generative
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Time
26 hours
Level
Introductory
Via
Pluralsight
Instructor
Hampton Paulk
Language
English
Good to know
Explores advanced prompt engineering techniques beyond basic prompting
Teaches how prompt attributes like length, style, perspective, can guide AI models
Examines concepts like prompt chaining for a conversational approach and flipping roles to vary context
Taught by Hampton Paulk, who has been recognized for their work in generative AI
Suitable for intermediate to advanced learners who have some experience with generative AI tools
Does not include hands-on labs or interactive materials
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