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OpenAI

Prompt Engineering

Xavier Morera

Understanding prompt engineering allows enhancing language model performance by designing effective prompts that produce desired outputs that align with your objectives. This course will teach you how to create effective prompts for OpenAI's ChatGPT.

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Understanding prompt engineering allows enhancing language model performance by designing effective prompts that produce desired outputs that align with your objectives. This course will teach you how to create effective prompts for OpenAI's ChatGPT.

Generative AI enhances worker productivity and has changed how businesses operate. However, the output of an LLM is only as good as the prompt it receives. In this course, OpenAI: Prompt Engineering, you’ll learn by example how to design and create effective prompts that help the LLM to produce improved outputs. First, you’ll explore what prompt engineering is as well as learn how to navigate the prompt console. Next, you’ll discover best practices for prompting, how to write better prompts, and will learn about other advanced features. Finally, you’ll learn about the limitations you may face when working with an LLM, like the context window. When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering needed to craft effective prompts that will produce the desired outputs from OpenAI’s ChatGPT 4.

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What's inside

Syllabus

Course Overview
What You Need to Know About Prompt Engineering with OpenAI’s ChatGPT

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
May be especially relevant to individuals in the growing technology sector and those seeking to understand advanced computer science topics
Xavier Morera is known for his experience in the field of conversational AI
Clearly introduces prompt engineering and how to use it to improve LLM output, making it a good foundational course
Provides a blend of fundamental knowledge and practical examples, catering to learners with varying backgrounds
Learners should have prior experience with natural language processing and machine learning before taking this course
Exclusively focuses on OpenAI's ChatGPT, which may not cover the broader landscape of prompt engineering and generative AI

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Activities

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Career center

Learners who complete OpenAI: Prompt Engineering will develop knowledge and skills that may be useful to these careers:
AI Engineer
As an AI Engineer, your mission is developing and implementing AI solutions to real-world problems. Success in this field may be achieved by building a strong foundation in prompt engineering to maximize the output of AI-powered tools. This course delves into prompt engineering for OpenAI's ChatGPT and how to design effective prompts that align with your objectives.
Natural Language Processing (NLP) Scientist
The knowledge you gain in this course can be applied directly to a career as an NLP Scientist. Being able to create effective prompts for language models can help you develop better NLP applications. This course provides practical tips for writing prompts that produce desired outputs in OpenAI's ChatGPT.
Machine Learning Engineer
Building a strong foundation in Prompt Engineering is a great way to complement the work of a Machine Learning Engineer. Prompt engineering allows you to enhance the efficiency of ML models and improve their accuracy. In this course, you'll master the techniques for writing prompts that produce better outputs with OpenAI's ChatGPT.
Data Scientist
Data Scientists who can effectively collaborate with language models like OpenAI's ChatGPT have a competitive edge. This course teaches how to express data-driven insights and discoveries through effective prompts. By taking this course, you'll be able to generate more accurate and meaningful results from your data analysis.
Product Manager
Product Managers play a critical role in developing products that meet the needs of users, and an understanding of prompt engineering can enhance your ability to define product requirements. By taking this course, you'll learn how to interact with generative AI tools, which can help to speed up the development process and improve the quality of your products.
Content Creator
Content Creators can significantly benefit from understanding prompt engineering techniques. This course teaches how to generate high-quality content for various platforms using OpenAI's ChatGPT. Taking this course can help you improve your writing skills and boost the engagement of your content.
Technical Writer
As a Technical Writer, the ability to create clear and concise instructions is paramount. This course explores best practices for writing prompts that yield accurate and helpful outputs from OpenAI's ChatGPT. By mastering these techniques, you can improve the quality of your documentation and enhance the user experience.
UX Writer
UX Writers play a pivotal role in shaping the user experience, and this course can provide valuable insights into enhancing your skillset. You'll learn how to craft effective prompts that align with user needs and guide them seamlessly through digital interfaces. By taking this course, you can elevate the usability and satisfaction of your designs.
AI Researcher
This course can serve as a valuable resource for AI Researchers seeking to advance their understanding of prompt engineering. You'll delve into advanced techniques for crafting prompts that maximize the output of AI models. By mastering these skills, you can push the boundaries of AI research and contribute to cutting-edge developments in the field.
NLP Engineer
As an NLP Engineer, you can benefit from building a strong foundation in prompt engineering. This course provides practical tips for writing prompts that elicit desired outputs from OpenAI's ChatGPT. By incorporating these techniques into your workflow, you can improve the accuracy and efficiency of your NLP models.
Software Engineer
Software Engineers who are comfortable working with AI tools like OpenAI's ChatGPT are in high demand. This course teaches how to write effective prompts that can automate tasks and improve the efficiency of your coding workflow. By taking this course, you'll gain a competitive edge and enhance your value as a software engineer.
AI Developer
This course can provide a solid foundation for AI Developers who want to explore the potential of prompt engineering. You'll learn how to interact with OpenAI's ChatGPT effectively, enabling you to create innovative AI-powered applications. By taking this course, you'll gain a competitive edge and contribute to the advancement of AI technology.
Digital Marketer
Digital Marketers seeking to enhance their skillset can benefit from this course. You'll discover techniques for crafting effective prompts that engage audiences and drive conversions across digital channels. By applying these principles to your marketing campaigns, you can maximize their impact and achieve better results.

Reading list

We've selected six 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 OpenAI: Prompt Engineering.
Provides a comprehensive overview of natural language processing, including a chapter on generative AI. It valuable resource for anyone who wants to learn about the latest advances in this field.
Provides a comprehensive guide to using the Natural Language Toolkit (NLTK) for natural language processing in Python. It covers the key features and functionality of the NLTK, as well as practical examples of how to use it for various NLP tasks.
Provides a hands-on guide to machine learning for text and natural language processing, covering the key concepts, algorithms, and applications. It offers practical guidance on how to prepare text data, build machine learning models, and evaluate their performance.
Provides a comprehensive overview of speech and language processing, covering the key concepts, models, and algorithms. It offers a thorough foundation in the field, making it a valuable resource for both students and practitioners.
Provides a comprehensive overview of text mining with R, covering the key concepts, tools, and techniques. It offers practical guidance on how to prepare text data, build text mining models, and evaluate their performance.
Provides a comprehensive overview of machine learning for natural language processing, covering the key concepts, models, and algorithms. It offers a practical guide to building and evaluating NLP models for various applications.

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