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Win Tun Lin has completed

Working with the OpenAI Responses API

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3 hr
2,850 XP
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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.
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  1. 1

    Getting Started with the Responses API

    Free

    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.

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    The Responses API: a Developer's Best Friend
    50 xp
    Your First Responses API Call
    100 xp
    Adding Model Instructions
    100 xp
    Extracting Information from the Response
    100 xp
    Mastering Response Parameters
    50 xp
    Experimenting with More Powerful Models
    100 xp
    Reasoning About Reasoning
    100 xp
    Conversation Chaining
    50 xp
    From One Message to Another
    100 xp
    Enabling Chat Conversations
    100 xp
  2. 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.

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  3. 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.

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For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.

collaborators

Collaborator's avatar
Stan Konkin

prerequisites

Working with the OpenAI API
James Chapman HeadshotJames Chapman

AI Curriculum Manager, DataCamp

James is a Curriculum Manager at DataCamp, where he collaborates with experts from industry and academia to create courses on AI, data science, and analytics. He has led nine DataCamp courses on diverse topics in Python, R, AI developer tooling, and Google Sheets. He has a Master's degree in Physics and Astronomy from Durham University, where he specialized in high-redshift quasar detection. In his spare time, he enjoys restoring retro toys and electronics.

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