Skip to main content

Course

Working with the OpenAI Responses API

IntermediateSkill Level

4.8+

Updated 04/2026

Build smart, interactive, and reliable AI applications easier than ever before with the OpenAI Responses API and GPT-5.

Start Course for Free

OpenAIArtificial Intelligence3 hr11 videos34 Exercises2,850 XPStatement of Accomplishment

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies

Training 2 or more people?

Try DataCamp for Business

Course Description

Building AI applications has never been more accessible with the Responses API! In this course, you’ll learn how to prompt models through a simple interface, follow best practices for reasoning models, and design natural back-and-forth conversations with LLMs. You’ll unlock the full power of LLMs by integrating tools—like web search with no extra API keys or credentials—and by building your own to extend model capabilities beyond their base knowledge. You’ll also learn how to take your applications from prototype to production with three key design paradigms, generate reliable structured outputs like JSON, stream real-time semantic events for interactive user experiences, and go multi-modal by combining text and images using OpenAI’s GPT-5 models.

Prerequisites

Working with the OpenAI API

1

Getting Started with the Responses API

Building AI applications has never been easier with the Responses API! Learn how to prompt models using a simple interface, best practices for working with reasoning models, and how to build back-and-forth conversations with LLMs.

The Responses API: a Developer's Best Friend

Your First Responses API Call

Adding Model Instructions

Extracting Information from the Response

Mastering Response Parameters

Experimenting with More Powerful Models

Reasoning About Reasoning

Conversation Chaining

From One Message to Another

Enabling Chat Conversations

2

Building Tools for LLMs

LLMs are powerful, but they're even more powerful once tools are introduced! Learn how to integrate web search with your LLM systems with no additional API keys or credentials. Discover that tools can be, well... pretty much anything! Build your own tools for LLMs to call to go beyond the model's base capabilities.

Response Items: The Building Blocks

Extracting Output Items and Their Contents

Using Items for Custom Handling

Web Search That Just Works

Combining LLMs and Web Search

Building Confidence with LLM Sources

Function-Calling Tools: Defining the Function

The Function-Calling Tool Workflow

Defining a Function for Converting Timezones

Function-Calling Tools: The Full Workflow

Building the OpenAI Tool Definition

Integrating Function-Calling Tools

3

Advanced Patterns for Production

Move your LLM systems from proof-of-concept to production with three key design paradigms. Learn how to generate consistent and reliable structured outputs, like JSON, using LLMs. You'll also use semantic events to stream updates to your users, creating interactive and enjoyable experiences. Finally, go multi-modal and learn how to combine text and images with OpenAI's GPT-5 models.

Generating Structured Outputs

Consistent Outputs, Every Time!

Nesting Pydantic Classes

Streaming with Semantic Events

Streaming OpenAI Responses

Streaming Semantic Events

Streaming with Function Calls

Input Flexibility and Multimodality

Role-Based Inputs

Prompting with Images from URLs

Prompting with Local Image Files

Congratulations!

Working with the OpenAI Responses API

Course
Complete

Earn Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance reviewEnroll Now

Don’t just take our word for it

*4.8

from 53 reviews

87%

11%

0%

2%

0%

Sort by

Aida

4 days ago

Georg

4 days ago

Anuar

last week

202320387

3 weeks ago

OpenAI의 API 반응에 대해서 배울 수 있는 좋은 시간이었습니다

202321020

3 weeks ago

Navaporn

4 weeks ago

Aida

Anuar

"OpenAI의 API 반응에 대해서 배울 수 있는 좋은 시간이었습니다"

202320387

FAQs

What is the Responses API and how does it differ from the Chat Completions API?

The Responses API is a simpler interface for prompting OpenAI models. It streamlines building conversations, integrating tools, and generating structured outputs compared to the older Chat Completions API.

Does this course teach how to build custom tools for LLMs?

Yes. Chapter 2 covers creating your own tools that extend the model beyond its base capabilities, as well as integrating built-in web search with no extra API keys.

What production-ready patterns does this course cover?

Chapter 3 teaches three design paradigms for production, including generating structured JSON outputs, streaming semantic events for real-time user experiences, and multi-modal text and image processing.

Which OpenAI models are used in this course?

The course works with OpenAI's GPT-5 models, including reasoning models. You learn best practices specific to prompting and building conversations with these models.

What Python experience is required?

You need Intermediate Python and the Working with the OpenAI API prerequisite course. Familiarity with making API calls and handling JSON responses in Python is expected.

Join over 19 million learners and start Working with the OpenAI Responses API today!

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Grow your data skills with DataCamp for Mobile

Make progress on the go with our mobile courses and daily 5-minute coding challenges.