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Building with OpenAI: From APIs to Agents
Build intelligent, multimodal, and agentic apps using OpenAI APIs. Gain hands-on experience with text, audio, image, and agent development through secure, production-ready workflows.
4.5
13 Lessons
3h
Updated 2 weeks ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- An understanding of how to build applications using OpenAI’s text, image, audio, and embedding capabilities
- The ability to connect models with external data and tools for dynamic, real-world tasks
- The ability to design and deploy autonomous research agents with visual workflows using the Agent Builder
- Hands-on experience creating engaging AI-powered user interfaces with ChatKit and integrating them into applications
Learning Roadmap
1.
Introduction
Introduction
Trace the evolution of AI and gain practical coding skills.
2.
Core Functionalities
Core Functionalities
Explore advanced AI capabilities in text, audio, images, and evaluation methods.
3.
Agentic AI
Agentic AI
4 Lessons
4 Lessons
Develop autonomous AI agents, build workflows visually, enhance UIs, and ensure security.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
In this hands-on course, you will learn how to utilize OpenAI’s platform to develop intelligent, real-world AI applications. You’ll begin by exploring how AI development has evolved and gain practical coding experience with OpenAI’s APIs, setting a strong foundation for creative experimentation and applied problem-solving.
Next, you will explore OpenAI’s core capabilities in text, audio, images, and embeddings. You’ll learn to build conversational systems, use web search and function calling, process multimedia inputs, and evaluate model performance. In the process, you’ll develop the technical fluency required to connect models with real-world workflows.
Finally, you’ll learn to build and deploy agentic AI systems. You’ll create autonomous agents, design workflows visually with the Agent Builder, integrate ChatKit for user interfaces, and implement security and monitoring. By the end, you’ll be equipped to develop and ship reliable, production-grade AI applications.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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