Getting Started on Prompt Engineering with Generative AI from Pluralsight

Generative artificial intelligence is powerful and exciting, but its output is only as good as its input. In this course, master the art and science of crafting clever prompts to unleash the full potential of generative AI models.

What if you could make ChatGPT and generative artificial intelligence even more amazing than it already is? It’s totally possible to do, using prompt engineering. In this course, Getting Started on Prompt Engineering with Generative AI, you’ll get a foundational understanding of what’s called prompt engineering, which is the art and science of asking better questions to get better answers. First, you’ll explore what prompt engineering is, the different types of prompts, and how to evaluate their effectiveness. Next, you’ll discover more advanced techniques, taking your prompt engineering to the next level. Finally, you’ll learn about different ethical considerations around this emerging technology, and how to apply best practices to mitigate potential issues. When you’re finished with the course, you’ll have the skills and knowledge of prompt engineering to get more from your generative AI models.

What's inside

Syllabus

Course Overview

Introduction to Prompt Engineering

Creating Effective Prompts

Evaluating Prompt Performance

Using Advanced Prompt Techniques

Ethical Considerations

Best Practices and Future Directions

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches prompt engineering, which is a useful skill for getting more out of generative AI models

Course includes discussions and interactive materials, which can aid learning

Builds a foundation in prompt engineering, which is helpful for beginners and learners with no prior knowledge

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 Getting Started on Prompt Engineering with Generative AI with these activities:

Refresh Your Understanding of Generative AI Fundamentals

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Ensure a solid foundation in generative AI principles and underlying machine learning concepts to enhance your comprehension of prompt engineering techniques.

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Review the course syllabus and identify key concepts related to generative AI.
Go through your notes from previous courses or textbooks on machine learning and artificial intelligence.
Take online quizzes or practice problems to test your understanding of these concepts.

Conduct Prompt Engineering Exercises

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Regular practice will help you refine your prompt engineering skills and develop a deeper understanding of how to craft effective prompts.

Browse courses on Prompt Engineering

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Set aside dedicated time for practice
Choose specific tasks or scenarios to work on
Craft prompts and evaluate their effectiveness
Iterate and refine your prompts based on results

Gather and Review Course Resources

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Organize existing materials and collect additional resources to create a personalized study guide.

Browse courses on Generative AI

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Collect any handouts, slides, or notes from the course website.
Create a dedicated folder or workspace for all course materials.
Search for and bookmark articles, tutorials, and other resources related to prompt engineering.

Nine other activities

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Join a Prompt Engineering Study Group

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Participating in a study group will provide you with opportunities to share knowledge, receive feedback, and enhance your understanding through peer collaboration.

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Find or create a study group with other learners
Set regular meeting times and agendas
Share your prompts and experiences
Provide constructive feedback to others

Explore Advanced Prompt Engineering Techniques

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Seeking out tutorials will provide you with additional insights and practical guidance to enhance your prompt engineering skills.

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Identify reputable sources for tutorials
Select tutorials that align with your learning objectives
Follow the tutorials step-by-step
Experiment with the techniques and apply them to your own prompts

Practice Prompt Creation on Example Data

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Reinforce understanding of prompt engineering through hands-on practice with different types of prompts.

Browse courses on ML Models

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Find a dataset or collection of real-world prompts and corresponding AI responses.
Analyze the prompts and identify common patterns and variations.
Experiment with creating variations of existing prompts, testing different tones, lengths, and formats.
Assess the quality and effectiveness of the AI responses generated from your own prompts.

Participate in Peer Review and Feedback Sessions

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Gain valuable insights by exchanging prompts and AI-generated responses with peers, providing constructive feedback and receiving fresh perspectives.

Browse courses on Collaborative Learning

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Find a study buddy or group with whom to regularly share and discuss prompts and responses.
Set up a schedule for peer review sessions and allocate time for feedback.
During the sessions, share your prompts and AI outputs with peers and listen attentively to their feedback.
Provide constructive criticism and suggestions to help improve the effectiveness and quality of the prompts and responses.

Create a Prompt Engineering Portfolio

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Building a portfolio of prompts will provide you with a tangible demonstration of your skills and understanding of prompt engineering.

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Identify different types of prompts
Craft prompts for various tasks
Evaluate the effectiveness of your prompts
Document your process and results

Design a Prompt Engineering Framework

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Developing a framework will help you organize and systematize your approach to prompt engineering, making it more efficient and effective.

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Research best practices and industry standards
Identify key components and elements of a framework
Develop a structure and workflow
Create documentation and training materials

Create a Demo or Prototype Using Generative AI

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Demonstrate a practical application of prompt engineering techniques by building a demo or prototype that leverages generative AI.

Browse courses on Generative AI Applications

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Identify an area or problem that can be addressed using generative AI.
Design a solution and create a plan for how generative AI can be used to solve the problem.
Develop the demo or prototype using appropriate prompt engineering techniques.
Test and refine the prototype, evaluate its performance, and present your results.

Explore Advanced Prompt Engineering Techniques from Industry Experts

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Stay at the forefront of prompt engineering by learning about the latest techniques and best practices from industry thought leaders and practitioners.

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Identify online courses, workshops, or tutorials offered by experts in prompt engineering.
Set aside dedicated time to go through the materials and practice the techniques presented.
Experiment with applying these techniques to your own prompt engineering tasks.

Contribute to Open-Source Prompt Engineering Projects

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Engage with the prompt engineering community by contributing to open-source projects, fostering collaboration and advancing the field.

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Identify a relevant open-source project in the field of prompt engineering.
Review the project's documentation and codebase to understand its objectives and needs.
Contribute to the project by reviewing code, fixing bugs, or implementing new features.
Collaborate with other contributors and the project maintainers to ensure the quality of your contributions.

Career center

Learners who complete Getting Started on Prompt Engineering with Generative AI will develop knowledge and skills that may be useful to these careers:

Conversational AI Engineer

Conversational AI Engineers design and develop computer systems that can engage in natural language conversations with humans. This course teaches the fundamentals of prompt engineering, which is essential for creating chatbots and other conversational AI applications that are informative, engaging, and helpful.

See salaries and explore the career path for Conversational AI Engineer

Natural Language Processing Engineer

Natural Language Processing Engineers work on developing and improving computer systems that understand and communicate in human language. This course offers a deep dive into prompt engineering, which is crucial for training and refining NLP models that can perform tasks like machine translation and text summarization.

See salaries and explore the career path for Natural Language Processing Engineer

Data Analyst

Data Analysts are sought after by companies since they bring a high degree of expertise in using computational power and statistical techniques to optimize business outcomes. This course is an excellent way to build a strong foundational understanding of prompt engineering, which is essential for performing natural language processing tasks like text analysis.

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AI Engineer

AI Engineers design, develop, and deploy artificial intelligence solutions. This course provides a comprehensive overview of prompt engineering, which is essential for building effective AI systems that can understand and respond to natural language commands.

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Machine Learning Engineer

Machine Learning Engineers are highly specialized professionals with advanced skills in developing and deploying machine learning models. This course can help build a solid foundation in prompt engineering, which is essential for creating high-performing models that can handle complex tasks.

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AI Scientist

AI Scientists conduct research, design, and develop artificial intelligence systems. This course provides a strong foundation in prompt engineering, which is crucial for developing AI systems that can interact with humans in a natural and effective way.

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NLP Researcher

NLP Researchers push the boundaries of natural language processing by developing new algorithms and techniques. Understanding prompt engineering is critical in this field, as it allows researchers to experiment with different ways of communicating with and instructing models.

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Product Manager

Product Managers are responsible for defining and overseeing the development of products. This course may be useful for Product Managers who want to learn more about prompt engineering, which can help them better communicate their ideas to engineers and designers.

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Data Scientist

Data Scientists use their expertise in statistics, programming, and machine learning to extract insights from data. This course may be useful for Data Scientists who want to gain a deeper understanding of prompt engineering, which can help them develop more effective models and improve the accuracy of their predictions.

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UX Designer

UX Designers focus on the user experience of products and services. This course may be useful for UX Designers who want to learn more about prompt engineering, which can help them create more user-friendly and intuitive interfaces.

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Teacher

Teachers develop and deliver lesson plans, and instruct students in a variety of academic subjects. This course may be useful for Teachers who want to learn more about prompt engineering, which can help them create more engaging and interactive lessons.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who want to learn more about prompt engineering, which can help them write better code and improve the performance of their applications.

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Technical Writer

Technical Writers create documentation and other written materials that explain technical concepts to users. This course may be useful for Technical Writers who want to learn more about prompt engineering, which can help them write more clear and concise documentation.

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Writer

Writers create written content for a variety of purposes, including articles, books, scripts, and speeches. This course may be useful for Writers who want to learn more about prompt engineering, which can help them improve their writing skills and produce more creative and compelling content.

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Translator

Translators convert written or spoken text from one language to another. This course may be useful for Translators who want to learn more about prompt engineering, which can help them improve the accuracy and fluency of their translations.

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