课程

使用 OpenAI API 构建 AI 系统

中级技能水平

更新时间 2026年4月

借助 OpenAI API，让你的 AI 应用为生产环境做好准备。

免费开始课程

OpenAIArtificial Intelligence

3小时

11 视频

36 道练习

2,800 XP

21,035

成就证明

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课程描述

通过本课程为您的 AI 应用做好上线准备。您将学习在 OpenAI API 上开发应用的最佳实践，包括内容审核与验证、测试，以及提升安全性的做法。您还将掌握通过函数调用将应用连接到外部系统和 API。本课程基于"Working with the OpenAI API"中介绍的核心功能，以及"Prompt Engineering with the OpenAI API"中的提示词编写最佳实践，帮助您将项目从概念验证提升为可投产的系统。

先决条件

Python Toolbox Prompt Engineering with the OpenAI API

1

Structuring End-to-End Applications

Learn how to seamlessly incorporate the OpenAI API into more complex systems, mastering the art of manipulating the response format and adeptly handling errors. This chapter provides essential knowledge for those looking to build components of AI systems that are not just interactive but also robust and efficient.

Structuring an API call

Decoding the response

Formatting model response as JSON

Handling errors

Interpreting error messages

Handling exceptions

Avoiding rate limits with retry

Batching messages

Setting token limits

2

Function Calling

Dive into the mechanics of function calling, where you'll master defining parameters to call specific functions, extracting structured data, and working with multiple functions. Learn to seamlessly integrate external APIs and manipulate responses to communicate with other systems, to develop enhanced AI system interactions.

Defining function calling

Function calling definition

Function calling steps

Extracting structured data from text

Using the tools parameter

Building a function dictionary

Extracting the response

Working with multiple functions

Parallel function calling

Setting a specific function

Avoiding inconsistent responses

Calling external APIs

Defining a function with external APIs

Calling an external API

Handling the response with external API calls

3

Best Practices for Production Applications

Elevate your OpenAI API skills to follow the industry's best practices. Learn to moderate content with precision, validate model behavior for consistency, and implement safety measures for secure API usage. This final chapter is an essential part of building robust AI-powered applications.

Mitigating prompt injection

Moderation API

Adding guardrails

Potential for model errors

Adversarial testing

Safety best practices

Minimizing model risks

Including end-user IDs

使用 OpenAI API 构建 AI 系统

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