OpenAI Decisions API Masterclass: Build Smarter Agentic AI

About this course

Learn how to build intelligent, structured AI decision-making applications using the OpenAI Decisions API, GPT-6 Luna, and Python.

Not every AI application needs to generate lengthy text responses. Sometimes, businesses simply need to make accurate, structured decisions.

For example:

• Which support team should handle a customer request?
• Is a customer reporting an active service outage?
• How serious is a business incident?
• Which AI agent should handle a particular task?
• When should an automated workflow require human review?

In this hands-on course, you'll discover how the OpenAI Decisions API can help solve these challenges using structured decision-making instead of traditional free-form LLM responses.

You'll learn the three core decision types—Predicate, Choice, and Score—and implement them using Python and practical examples.

We'll start with the fundamentals, explore API requests and structured JSON responses, and gradually move toward real-world applications such as customer support classification, incident severity assessment, confidence-based decision validation, and intelligent AI agent routing.

By the end of the course, you'll understand how to integrate AI-powered decisions into Agentic AI applications while keeping business rules, authorization, and workflow execution under application control.

What You'll Learn1. OpenAI Decisions API Fundamentals

Understand what the Decisions API is, how it works, and how structured decision-making differs from traditional LLM-generated responses.2. Predicate — Evaluate Conditions

Learn how to evaluate whether a condition is likely to be true, interpret probabilities, and implement practical use cases such as outage detection.3. Choice — Classification and Routing

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