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Beth Adams, Evan Rozantes, and Amy Gascon

This crash course focuses on prompt engineering, a vital skill for anyone interested in making the most of AI language tools like ChatGPT. We'll delve into hands-on practice and understanding how to frame prompts to obtain desired outcomes. No prior technical knowledge is required; we'll guide you every step of the way!

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This crash course focuses on prompt engineering, a vital skill for anyone interested in making the most of AI language tools like ChatGPT. We'll delve into hands-on practice and understanding how to frame prompts to obtain desired outcomes. No prior technical knowledge is required; we'll guide you every step of the way!

Learners who opt for the verified track and certificate will also receive quick reference guides with tips on how to write effective prompts.

Who Should Enroll: This crash course is open to all curious learners who wish to explore the potential of AI language tools and enhance their prompt engineering skills. Whether you're a content creator, a professional seeking to leverage AI, or simply an enthusiast eager to delve into the world of AI, this course is tailor-made for you.Join us in this exciting AI Prompt Engineering for Beginners course to harness the true potential of AI language tools and unlock a world of possibilities through effective prompt engineering! Let's embark on this learning journey together!

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What's inside

Learning objectives

  • Produce an ai-generated first draft to serve as a starting point for creating written content.
  • Mobilize ai to iterate on a self-written draft, focusing on refining tone and clarity.
  • Demonstrate understanding of how to utilize generative ai to support your daily planning activities.
  • Use descriptive inputs with clear context and instructions to generate relevant responses.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches how to use AI for content creation and daily planning tasks
Appropriate for beginners who want to explore AI language tools
Provides quick reference guides to assist with prompt writing
No prior technical knowledge required
Helps content creators leverage AI to enhance their work
May not cover advanced prompt engineering techniques

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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 Prompt Engineering for Beginners with these activities:
Review technical documentation
Review technical documentation to enhance your understanding of the fundamental concepts and terminology used in the course.
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  • Identify relevant technical documentation, such as ChatGPT user guides and tutorials.
  • Skim the documentation to get a general overview of the main topics covered.
  • Focus on specific sections related to prompt engineering, including best practices and common pitfalls.
Connect with experienced prompt engineers
Seek out experienced prompt engineers who can provide guidance, feedback, and support as you develop your skills.
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  • Attend industry events or join online communities related to prompt engineering.
  • Reach out to individuals whose work or experience aligns with your interests.
  • Request mentorship, explaining your goals and how their expertise can benefit you.
Complete prompt engineering exercises
Engage in hands-on practice exercises to refine your prompt engineering skills and improve your ability to generate desired outcomes.
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  • Find online resources or platforms that offer prompt engineering exercises.
  • Select exercises that align with your learning objectives, such as generating different types of content or refining tone and clarity.
  • Practice writing prompts based on the provided instructions and evaluate the generated results.
  • Analyze your results and identify areas for improvement in your prompt engineering skills.
Four other activities
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Create AI-driven content drafts
Utilize AI language tools to create content drafts, leveraging the course's insights to enhance the quality and efficiency of your writing process.
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  • Identify a topic or project that requires written content creation.
  • Craft a clear and specific prompt to guide the AI tool in generating a draft.
  • Experiment with different prompt variations to optimize the results.
  • Review and refine the AI-generated draft, focusing on improving coherence, clarity, and tone.
Present your prompt engineering case study
Showcase your understanding and application of prompt engineering principles by presenting a case study that demonstrates the benefits and challenges of this approach.
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  • Select a specific project or use case where you successfully employed prompt engineering.
  • Describe the problem or challenge you faced and how prompt engineering helped you address it.
  • Explain the prompts you crafted, the AI tools you used, and the results you obtained.
  • Discuss the lessons learned, best practices, and potential limitations of prompt engineering based on your experience.
Explore advanced prompt engineering techniques
Expand your knowledge of prompt engineering by exploring advanced techniques and best practices through guided tutorials and resources.
Show steps
  • Identify reputable sources or platforms that provide advanced prompt engineering tutorials.
  • Select tutorials that focus on specific techniques or applications that align with your interests.
  • Follow the instructions and experiment with the techniques discussed in the tutorials.
  • Evaluate the results and reflect on how these advanced techniques can enhance your prompt engineering abilities.
Develop an AI-powered tool or application
Apply your prompt engineering skills to create a practical tool or application that leverages AI capabilities.
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  • Identify a problem or need that can be addressed with an AI-powered tool.
  • Design the tool or application, including its functionality and user interface.
  • Develop the tool using appropriate programming languages and AI techniques.
  • Test the tool thoroughly and gather feedback from potential users.

Career center

Learners who complete AI Prompt Engineering for Beginners will develop knowledge and skills that may be useful to these careers:
AI Language Model Engineer
An AI Language Model Engineer ensures that the AI language model is operating and generating language in the way desired. Responsible for designing, developing, and maintaining the AI language model, this engineer plays a key role in integrating this technology into a company's products. In this course, you will learn how to write effective prompts to give direction to AI language models in a clear and coherent way. This skill is essential for AI Language Model Engineers, as they often use AI language models to generate text and code, as well as other forms of content.
AI Content Writer
AI Content Writers are responsible for creating high-quality content using AI language models. To be successful in this role, you need to be able to understand how to instruct AI language models effectively, which is exactly what you will learn in this course.
AI Chatbot Developer
AI Chatbot Developers design and develop chatbots powered by AI language models. With the skills you learn in this course, you will be able to create chatbots that can engage in natural and informative conversations with users, offering valuable customer service or support.
AI Product Manager
An AI Product Manager is responsible for the development, launch, and marketing of AI-powered products and services. This course may be useful to you in this role, as it can help you understand how to communicate with engineers and other technical staff about AI language models and their capabilities, as well as how to set realistic expectations for what AI can and cannot do.
AI Research Scientist
AI Research Scientists conduct research on developing and improving AI language models. This course may be useful to you in this role, as it can help you better understand the capabilities and limitations of AI language models.
Data Scientist
Data Scientists use data to solve business problems. This course may be useful to you in this role, as it can help you learn how to use AI language models to extract insights from data.
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning models. This course may be useful to you in this role, as it can help you understand how to use AI language models as a component of machine learning systems.
Natural Language Processing Engineer
Natural Language Processing Engineers develop and implement NLP systems. This course may be useful to you in this role, as it can help you understand how to use AI language models as a component of NLP systems.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful to you in this role, as it can help you understand how to use AI language models to improve the functionality and efficiency of software systems.
Technical Writer
Technical Writers create documentation for software and other technical products. This course may be useful to you in this role, as it can help you learn how to use AI language models to generate clear and concise technical documentation.
UX Writer
UX Writers create content for user interfaces, such as websites and mobile apps. This course may be useful to you in this role, as it can help you learn how to use AI language models to create engaging and informative user experiences.
Content Strategist
Content Strategists develop and implement content strategies for organizations. This course may be useful to you in this role, as it can help you learn how to use AI language models to create and distribute content that meets the needs of your target audience.
Marketing Manager
Marketing Managers plan and execute marketing campaigns. This course may be useful to you in this role, as it can help you learn how to use AI language models to create and distribute marketing content that reaches your target audience.
Public relations manager
Public Relations Managers manage the public image of organizations. This course may be useful to you in this role, as it can help you learn how to use AI language models to create and distribute press releases and other public relations materials.
Sales Manager
Sales Managers lead and motivate sales teams. This course may be useful to you in this role, as it can help you learn how to use AI language models to create and deliver sales presentations, as well as to close deals.

Reading list

We've selected 11 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 Prompt Engineering for Beginners.
Comprehensive textbook on deep learning for natural language processing. It covers a wide range of topics, from the basics of deep learning to advanced techniques for NLP tasks such as text classification and machine translation.
Practical guide to deep learning, with a focus on using the Python programming language. It covers a wide range of topics, from the basics of deep learning to advanced techniques such as convolutional neural networks and recurrent neural networks.
Comprehensive guide to the Natural Language Toolkit (NLTK), a popular Python library for natural language processing. It covers a wide range of topics, from the basics of NLTK to advanced techniques for NLP tasks such as text classification and machine translation.
Practical guide to machine learning, with a focus on using the Scikit-Learn, Keras, and TensorFlow libraries in Python. It covers a wide range of topics, from the basics of machine learning to advanced techniques such as deep learning.
Comprehensive textbook on artificial intelligence, with a focus on the foundations of computational agents. It covers a wide range of topics, from the basics of AI to advanced topics such as planning and learning.
Comprehensive textbook on machine learning, with a focus on the probabilistic perspective. It covers a wide range of topics, from the basics of machine learning to advanced topics such as Bayesian inference and graphical models.
Comprehensive textbook on pattern recognition and machine learning. It covers a wide range of topics, from the basics of pattern recognition to advanced topics such as support vector machines and kernel methods.
This thought-provoking book explores the philosophical and ethical implications of artificial intelligence. It offers a valuable perspective on the responsible development and use of AI language tools.
This comprehensive book provides a thorough foundation in natural language processing, covering fundamental concepts, algorithms, and applications. It offers a theoretical and practical understanding of the underlying technologies used in AI language tools.
This accessible book provides a non-technical introduction to artificial intelligence, including its history, applications, and potential impact on society. It offers a valuable overview for those interested in the broader context of prompt engineering.

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