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Prompt Engineering with the OpenAI API

GrundläggandeKunskapsnivå

Uppdaterad 2026-01

Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.

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OpenAIArtificial Intelligence

4 tim

15 videor

55 Övningar

4,750 XP

48,072

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Kursbeskrivning

Maximize AI Applications Through Effective Prompt Engineering

ChatGPT is a powerful language model that can generate human-like text for different applications. However, it is only as good as the prompts you provide. You need to know how to write effective prompts, and this is where prompt engineering comes in. Prompt engineering is carefully designing and crafting prompts to elicit desired responses from language models. It's an essential skill needed to use language models to their full potential. In this course, you'll dive deep into the principles and best practices of prompt engineering.

Take Your Prompt Engineering Skills To The Next Level

Prompt engineering is an emerging field that is essential in today's world. You'll learn to work with different prompts and select the ideal one for each task. Through practical exercises using the OpenAI API in Python, you'll gain hands-on experience crafting effective prompts specifically tailored for ChatGPT.

Solve Real-World Business Problems

Once you master prompt engineering, every problem becomes "one prompt away" from being solved. By the end of this course, you'll have the skills and knowledge needed to write effective prompts for ChatGPT to solve various real-world problems and business applications.

Förkunskapskrav

Working with the OpenAI API

1

Introduction to Prompt Engineering Best Practices

Master the art of crafting effective prompts, designing structured outputs, and implementing intelligent conditional prompts to revolutionize your applications. Delve into the core principles and best practices of prompt engineering for unparalleled success in artificial intelligence.

Introduction to prompt engineering

OpenAI API message roles

Creating the get_response() function

Exploring prompt engineering

Key principles of prompt engineering

Is this prompt effective?

Using delimited prompts with f-strings

Building specific and precise prompts

Structured outputs and conditional prompts

Generating a table

Customizing output format

Using conditional prompts

2

Advanced Prompt Engineering Strategies

Discover advanced techniques for prompt engineering, empowering you to design more effective and precise prompts for language models. Learn how to iteratively refine prompts through experimentation and analysis, ensuring more accurate and meaningful outputs.

Few-shot prompting

Zero-shot, one-shot, and few-shot prompting

Controlling output structure

Sentiment analysis with few-shot prompting

Multi-step prompting

Single-step prompt to plan a trip

Multi-step prompt to plan a trip

Analyze solution correctness

Chain-of-thought and self-consistency prompting

Reasoning with chain-of-thought prompts

One-shot chain-of-thought prompts

Self-consistency prompts

Iterative prompt engineering and refinement

Iterative prompt engineering process

Iterative prompt engineering for standard prompts

Iterative prompt engineering for few-shot prompts

3

Prompt Engineering for Business Applications

Dive into the strategic integration of prompt engineering techniques in real-world business applications. Uncover the art of tailoring language models to serve the dynamic needs of the business world, thereby driving innovation, streamlining operations, and enabling informed decisions in the rapidly evolving landscape of AI-powered business solutions.

Text summarization and expansion

Market research report summarization

Product features summarization

Product description expansion

Text transformation

Translation for multilingual communication

Tone adjustment for email marketing

Writing improvement

Text analysis

Customer support ticket routing

Customer support ticket analysis

Code generation and explanation

Code generation with problem description

Input-output examples for code generation

Modifying code with multi-step prompts

Explaining code step by step

4

Prompt Engineering for Chatbot Development

Explore the realm of chatbot development with effective prompt engineering strategies. Immerse yourself in the intricacies of system prompts, role-playing prompts, and the seamless integration of context, thus enabling your chatbots to engage users with heightened effectiveness and naturalness.

Prompt engineering for chatbot development

Creating a dual-prompt get_response() function

Customer support chatbot

Behavioral control of a customer support chatbot

Role-playing prompts for chatbots

Learning advisor chatbot

Adding guidelines for the learning advisor chatbot

Incorporating external context

Providing context through sample conversations

Providing context through system prompt

Congratulations

Prompt Engineering with the OpenAI API

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