Course
Multi-Modal Systems with the OpenAI API
IntermediateSkill Level
Updated 10/2025OpenAIArtificial Intelligence2 hr7 videos24 Exercises2,000 XP2,800Statement of Accomplishment
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Develop Multi-Modal Applications with the OpenAI API
To build applications that are accessible to as wide an audience as possible, it's important that they can accept inputs in different modalities, like text and speech. In this course, you'll build on your knowledge of OpenAI's text generation models and learn to master their audio models!Master Audio Applications
Did you know OpenAI developed audio models? In this course, you'll learn to create reliable text transcripts in multiple languages using their speech-to-text models. You'll also flip the script and generate realistic human audio (and in multiple languages!) with their text-to-speech models.Protect and Moderate AI Applications
AI applications are often designed for a very specific reason, but a malicious actor may try to misuse it in different ways. In this course, you'll utilize OpenAI's moderation models to detect inappropriate user and AI-generated content.Build Functional Customer Chatbots
You'll complete a case study to create an end-to-end customer service chatbot that will receive customer queries, and use internal resources to respond back to the customer. Not only that, it will respond in their native language and with AI-generated spoken audio!Prerequisites
Working with the OpenAI API1
Beyond Text Generation
OpenAI provides models that go far beyond text generation. In this chapter, you'll use OpenAI's text-to-speech and text-to-speech audio models. You'll also moderate user content to detect misuse.
2
Case Study: Building a Customer Support Chatbot
You'll build a fully functional, end-to-end AI-powered chatbot! This chatbot will accept and respond to customer queries as voice messages, even responding in non-English languages!
Multi-Modal Systems with the OpenAI API
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FAQs
What OpenAI capabilities beyond text generation does this course cover?
You will learn speech-to-text transcription, text-to-speech audio generation, and content moderation to detect inappropriate user inputs, all through the OpenAI API.
What is the end-to-end project built in this course?
You build a customer support chatbot that accepts voice messages, processes them, and responds with spoken audio, including support for non-English languages.
Do I need advanced Python skills to take this course?
No. This is a beginner-level course requiring only intermediate Python and prior experience with the OpenAI API for text generation.
Does the course teach content moderation with OpenAI?
Yes. You will use OpenAI's moderation endpoint to detect inappropriate or harmful content in user messages before your application processes them.
How is the course structured across its two chapters?
The first chapter introduces speech-to-text, text-to-speech, and moderation models. The second chapter is a case study where you combine them into a working chatbot.
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