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Artificial IntelligenceSelf-pacedBeginner

Introduction to Prompt Engineering

by Learn PromptingTaught by Sander Schulhoff

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Listed

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Price
$21 / month · billed annually
Level
Beginner
Format
Self-paced
Language
English
Modules
10
View Introduction to Prompt Engineering on Learn Prompting, opens the provider’s website

on learnprompting.org

You will continue to Learn Prompting. TrustMyCourse does not sell this course.

A short foundational course on writing instructions for large language models, covering what separates a good prompt from a vague one, how the underlying models behave, and techniques for decomposing complex problems. Later modules deal with the failure modes rather than the happy path: conflicting outputs, hallucination, bias, and the ethical questions that follow. Ten modules, self-paced, sold through a subscription that also covers the publisher's other courses.

Who it is for

People using tools like ChatGPT or Claude who want a grounded method instead of trial and error.

Recorded from the provider’s published description of the course.

Verification

This course has not been verified

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The course

Course details

Provider
Learn Prompting
Price
$21 / month · billed annually
Level
Beginner
Format
Self-paced
Language
English
Access
Access through the publisher's Plus subscription, which covers this and its other courses and includes certificates; a limited free tier also exists

What the course covers

Summarised by TrustMyCourse from public course information. Wording is our own, not the provider’s.

  1. Introduction to Prompt Engineering

    What the discipline is and why phrasing changes the output at all.

  2. What Makes a Good Prompt?

    The components of a prompt that reliably produces what was intended.

  3. Understanding LLMs

    Enough of how the models work to predict where they will struggle.

  4. Solving Complex Problems

    Breaking a task into steps a model can handle rather than asking for everything at once.

  5. Managing Conflicting Outputs

    What to do when the same prompt produces inconsistent answers.

  6. Identifying Hallucinations

    Recognising confidently stated output that is not true.

  7. Addressing Bias in AI

    Where bias enters model output and what can be done about it at the prompt level.

  8. Combining Prompting Techniques

    Using the preceding techniques together rather than in isolation.

  9. Risks and Ethical Concerns

    The wider consequences of deploying these systems.

  10. Conclusion

    A closing module drawing the course together.

Provider

Who created this course

Learn Prompting

Taught by Sander Schulhoff

A small education company publishing prompt engineering and AI safety courses on its own platform.

Learn Prompting website

Any TrustMyCourse verification applies to the course on this page, not to the provider as a whole and not to its other courses. TrustMyCourse does not endorse Learn Prompting.

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