OpenAI Engineer: APIs, Libraries, Models, Agents SDK

Developer's guide to building AI Agent software and apps with OpenAI API and SDK

What you'll learn
⚡ OpenAI APIs
⚡ OpenAI libraries and tools
⚡ AI Agents
⚡ Coding AI apps and projects
⚡ Text, Image, Audio generation
⚡ OpenAI Python development
⚡ Agent SDK
⚡ AI Agent tools

Requirements
❗ No programming experience necessary
❗ No AI engineering experience necessary

Description
This course is a complete, hands-on guide to mastering the OpenAI API and building modern AI applications with the latest OpenAI tools and technologies.

This is an Engineer's guide to using OpenAI and its libraries to build robust and efficient apps using AI and Agents.

OpenAI is at the center of the AI revolution, powering everything from chatbots and coding assistants to AI agents, voice systems, image generation, retrieval systems, and autonomous workflows. Knowing how to use these APIs effectively is becoming one of the most valuable skills in software engineering and AI development.

In this course, you will go from zero to advanced OpenAI development step by step.

Every section is designed around practical, real-world workflows and production-ready patterns.

We will cover

• Responses API and multi-turn conversations
• Prompt engineering, structured outputs, and streaming
• Vision models, image generation, and image editing
• Video generation with Sora
• Speech, transcription, and voice workflows
• Function tools, MCP, shell tools, and code interpreter
• Retrieval Augmented Generation (RAG) and vector stores
• Evaluations, datasets, graders, and eval runs
• Agent SDK, orchestration, guardrails, and sandboxing
• Human In The Loop workflows (HITL) and approval systems

By the end of this course, you will be confident building real AI applications using the OpenAI ecosystem, from simple prompts to advanced multi-agent systems and production-ready AI workflows.

Who this course is for
⭐ Beginner AI engineers
⭐ Beginner AI developers

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