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课程

Developing AI Systems with the OpenAI API

中级技能水平

更新时间 2026年4月

Leverage the OpenAI API to get your AI applications ready for production.

免费开始课程

OpenAIArtificial Intelligence

3 小时

11 视频

36 练习

2,800 经验值

19,934

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课程描述

Get your AI applications ready for production with this OpenAI API course. You’ll discover best practices for developing applications on the OpenAI API, including moderation and validation, testing, and practices for improved safety. You’ll also learn how to connect your application with external systems and APIs through function calling. This course builds on core OpenAI functionalities introduced in Working with the OpenAI API and prompt writing best practices from Prompt Engineering with the OpenAI API to help you elevate your projects from proof of concept to production-ready systems.

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

50 经验值

Decoding the response

50 经验值

Formatting model response as JSON

100 经验值

Handling errors

50 经验值

Interpreting error messages

100 经验值

Handling exceptions

100 经验值

50 经验值

Avoiding rate limits with retry

100 经验值

Batching messages

100 经验值

Setting token limits

100 经验值

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

50 经验值

Function calling definition

50 经验值

Function calling steps

100 经验值

Extracting structured data from text

50 经验值

Using the tools parameter

100 经验值

Building a function dictionary

100 经验值

Extracting the response

100 经验值

Working with multiple functions

50 经验值

Parallel function calling

100 经验值

Setting a specific function

100 经验值

Avoiding inconsistent responses

100 经验值

Calling external APIs

50 经验值

Defining a function with external APIs

100 经验值

Calling an external API

100 经验值

Handling the response with external API calls

100 经验值

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.

50 经验值

Mitigating prompt injection

50 经验值

Moderation API

100 经验值

Adding guardrails

100 经验值

50 经验值

Potential for model errors

50 经验值

Adversarial testing

100 经验值

Safety best practices

50 经验值

Minimizing model risks

50 经验值

Including end-user IDs

100 经验值

50 经验值

Developing AI Systems with the OpenAI API

课程完成

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