Where prompting turns into building. In about three hours you write Python that sends requests to OpenAI's models and handles the responses — generating and transforming text, and more. A practical bridge from using chatbots to building with them. Note that calling the API itself costs money, separate from the course.
Good for: Learning to build with the OpenAI API in Python.
Less suitable if: You cannot code in Python, or you only want to write prompts.
Requirements: Basic Python; an OpenAI API key (usage is billed separately).
Realistic time: Around 3 hours.
About this course
Working with the OpenAI API is where prompting turns into building. In three hours you write Python that sends requests to OpenAI's models and handle the responses, covering practical use cases: generating and transforming text, classifying sentiment, and wiring up a basic chatbot.
What you'll learn
Authenticate and send requests to the OpenAI API in Python
Generate and transform text programmatically
Run sentiment analysis and classification
Build a simple chatbot with the chat endpoint
Control outputs with parameters like temperature and tokens
Handle API responses and errors cleanly
This course includes
3h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
DataCamp runs on a subscription — roughly $14/month billed annually (more month-to-month), with the first chapter of each course free to try. A certificate of completion is included with the subscription. Separately, calling the OpenAI API is billed by usage by OpenAI — a real, though usually small, extra cost while you practise.
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