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The Complete OpenAI API with Python Masterclass

4.7(15,000) on Udemy·160K enrolled
Intermediate 10 hours English Course Certificate
SkillsOpenAI APIPythonGPT modelsLLM applicationsAPI integrationPrompt engineering

Is this course right for you?

Our take
Built for Python developers, this Udemy course shows you how to build applications on the OpenAI API rather than just chat with GPT.

Good for: Python developers who want to build apps with the OpenAI API.

Skip if: You are new to Python, or you only want to use ChatGPT rather than build with it.

It works through using the models for chat, text and more inside your own programs, so it suits people who can already code and want to ship something. Plan for the running cost, though: the API bills per token, so building and testing carries its own charge on top of the course.

If you're new to Python, or you only want to use ChatGPT rather than build with it, start elsewhere. The API changes often, so check the newest sections track the current version, though the integration patterns it teaches hold up (as of 2026).

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About this course

This course teaches the OpenAI API from authentication and basic completions through advanced features: function calling for structured outputs, embeddings for semantic search, the Assistants API for stateful conversations, and fine-tuning for domain-specific models.

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Instructor

CS
Colt Steele
Udemy instructor
160K+ learners12 courses4.7 instructor rating

Taught by Udemy AI development instructors with extensive experience building production applications on top of LLM APIs.

Frequently asked questions

Just beginner Python. The course assumes you can write basic Python — variables, functions, calling libraries — but not much more, since the focus is on using OpenAI's APIs rather than heavy programming. You do not need any machine-learning background, because you are calling pre-built models, not training them. If Python is completely new, do a short primer first so the API code makes sense.

Yes, and this is separate from the course fee. OpenAI charges per use of its API — based on how much text or how many images and audio you process — so running the course projects incurs small charges, usually a few dollars for coursework if you are careful. New accounts sometimes get limited free credit, but plan to add a small amount of API credit to follow along fully.

Building real applications on OpenAI's APIs: prompt engineering, the Chat API with GPT-4 for natural language tasks, embeddings for search and comparison, plus the DALL-E image API and Whisper for audio-to-text. Colt Steele grounds it in projects — a code reviewer, a playlist generator, a book summariser, sentiment analysis — so you finish having actually wired these models into working programs rather than only reading about them.

Mostly, though it is worth a caution. It was recorded around GPT-4 and covers current API capabilities, but the OpenAI Python library and models move fast, and some code may need small tweaks to match the library version you install — the course itself flags this. The concepts hold up well; just be ready to adjust a little syntax against OpenAI's current documentation as you follow along.

It is a paid Udemy course, usually available at a low price during Udemy's frequent sales rather than at full list, with lifetime access. Remember the OpenAI API usage is a separate, ongoing cost — small for learning, but real — so budget for both the one-off course fee and a little API credit if you want to build the projects properly.
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