
Prompt Engineering Guide – Learn Prompting
Learn Prompting offers an introductory, free and open-source course on Generative AI and Prompt Engineering. This comprehensive course is designed to introduce you to the world of Generative AI and Prompt Engineering, catering to both non-technical individuals and technical enthusiasts. Whether you’re new to AI or seeking advanced insights, this course has something valuable to offer.
Subjects Covered:
- Basics: An introduction to the fundamentals.
- Basic Applications: Practical uses of Generative AI.
- Intermediate: Research-based techniques with moderate complexity.
- Applied Prompting: Comprehensive process walkthroughs contributed by the community.
- Advanced Applications: Powerful and complex applications.
- Reliability: Enhancing the reliability of large language models.
- Image Prompting: Prompt engineering for text-to-image models.
- Prompt Hacking: Exploring prompt engineering techniques.
- Tooling: A review of prompt engineering tools and IDEs.
- Prompt Tuning: Refining prompts using gradient-based techniques.
- Miscellaneous: Additional topics and techniques related to prompt engineering.
Course Features:
- Motivating Example: Learn how Generative AI can save time through automated email writing.
- Ethos and Philosophy: Discover commitment to accessibility, clarity, and objectivity in AI education.
- Teaching Methods: Explore a practical, example-driven, and collaborative teaching approach.
- Modules: Access structured content in various levels of complexity.
Key Learning Outcomes:
By the end of this course, you will:
- Understand the fundamentals of Generative AI and Prompt Engineering.
- Apply practical techniques to generate content and solve real-world problems.
- Explore advanced applications and reliability enhancements.
- Gain proficiency in image prompting and prompt tuning.
- Have knowledge of essential tools and resources in prompt engineering.
Target Audience:
This course is ideal for:
- Non-technical individuals new to Generative AI and Prompt Engineering.
- Technical readers seeking in-depth insights and practical knowledge.
- Anyone interested in harnessing Generative AI for creative or professional purposes.
Accreditation:
This course is open source, and anyone can access the course material and code. It is built by a diverse community of researchers, translators, and hobbyists committed to making AI education accessible to all. While this course is not accredited in a traditional sense, it is widely recognized and appreciated by the prompt engineering community, cited by Wikipedia, and used by professionals at companies such as O’REILLY, Scale AI, and OpenAI.
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