Working with the OpenAI Responses API

Overview

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

Syllabus

• 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.
• 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.
• 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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Taught by

James Chapman

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Subjects

Artificial Intelligence