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Building Systems with the ChatGPT API

A concise developer course on combining language-model API calls into multi-step systems, with attention to workflow structure and integration.

Provider
DeepLearning.AI
Level
Beginner

About

Building Systems with the ChatGPT API is a DeepLearning.AI short course about moving beyond isolated prompts to multi-step AI systems. The recorded scope combines language-model API integration, AI system architecture, and workflow design, so the main decision is whether you need application structure rather than another general prompting introduction. It is suitable for developers with basic coding knowledge who want a compact view of how several model interactions can support one workflow. The short format does not provide comprehensive production deployment or advanced reliability engineering.

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Learning Outcomes

  • ✓Describe how multiple language-model interactions can be organized into a multi-step application workflow
  • ✓Connect API integration decisions with the broader structure of an AI-powered system
  • ✓Recognize the limits between an instructional workflow example and a production-ready service

Syllabus

1. From prompts to systems

Reframes language-model use as a sequence of connected steps and introduces the architectural questions created by that shift.

2. API integration and workflow design

Relates individual API interactions to multi-step workflow design and to the responsibilities of the surrounding application.

3. System scope and next-stage engineering

Reviews what a compact instructional system can demonstrate and what remains for deployment, monitoring, and reliability work.

Skills Covered

🧠 AI system architecture🧠 Language model API integration🧠 Multi-step workflow design