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Working with the OpenAI API

4.6+
40 reviews
Beginner

Start your journey developing AI-powered applications with the OpenAI API. Learn about the functionality that underpins popular AI applications like ChatGPT.

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Course Description

Discover How to Access AI Models from the OpenAI API

Over recent years, OpenAI has emerged as a market leader in creating AI models, such as GPT-4, and releasing them to the wider community through applications like ChatGPT. These models can transform not only the way you work but also the products and services that businesses provide to customers.

To begin extracting business value from OpenAI's models, you'll need to learn to work with their Application Programming Interface, or API. Throughout the course, you'll learn to use Python code to send requests to use OpenAI's models.

Solve Real-World Problems Using AI Models

The AI models accessible through the OpenAI API have a wide range of potential applications. In this course, you'll use AI to generate and transform text content, perform sentiment analysis and categorization, create audio transcriptions, build your very own chatbot, and even start automating complex tasks like creating summarized meeting notes from meeting recordings.

Begin Developing AI Applications

As AI becomes more accessible to individuals and organizations, the bar for developing AI-driven product features and automations continues to fall. Right now, every organization has the capability to begin using AI to streamline business processes and develop more personalized customer experiences. The OpenAI API provides easy access for software engineers and developers to start integrating AI into new applications and systems.
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In the following Tracks

Associate AI Engineer for Developers

Go To Track

Developing AI Applications

Go To Track

OpenAI Fundamentals

Go To Track
  1. 1

    Introduction to the OpenAI API

    Free

    Harness the power of AI from OpenAI's models by creating requests to their API with just a few lines of code. Discover the wide range of capabilities available via the OpenAI API. Learn about the best practices for managing API usage across the business by utilizing API organizations.

    Play Chapter Now
    What is the OpenAI API?
    50 xp
    Applications built on the OpenAI API
    50 xp
    Your first OpenAI API request!
    100 xp
    Making requests to the OpenAI API
    50 xp
    Building an OpenAI API request
    100 xp
    Digging into the response
    100 xp
  2. 2

    OpenAI's Text and Chat Capabilities

    OpenAI's GPT series of language models have created headlines the world over. In this chapter, you'll use these models for generating and transforming text content, for classification tasks like categorization and sentiment analysis, and finally, to create your very own AI-powered chatbot!

    Play Chapter Now
  3. 3

    Going Beyond Text Completions

    OpenAI has not only developed models for text generation but also for text moderation and audio transcription and translation. You'll learn to use OpenAI's moderation models to detect violations of their terms of use—a crucial function in user-facing applications. You'll also discover how the Whisper model can be used to transcribe and translate audio from different languages, which has huge applications in automated meeting notes and caption generation.

    Play Chapter Now
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.

In the following Tracks

Associate AI Engineer for Developers

Go To Track

Developing AI Applications

Go To Track

OpenAI Fundamentals

Go To Track

collaborators

Collaborator's avatar
Amy Peterson

audio recorded by

James Chapman's avatar
James Chapman

prerequisites

Intermediate Python
James Chapman HeadshotJames Chapman

Data Science & AI Curriculum Manager, DataCamp

James is a Curriculum Manager at DataCamp, where he collaborates with experts from industry and academia to create courses on AI, data science, and analytics. He has led nine DataCamp courses on diverse topics in Python, R, AI developer tooling, and Google Sheets. He has a Master's degree in Physics and Astronomy from Durham University, where he specialized in high-redshift quasar detection. In his spare time, he enjoys restoring retro toys and electronics.

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Eduardo Oliveira HeadshotEduardo Oliveira

Chief Technology Officer, DataCamp

DataCamp Chief Technology Officer and General Manager of Learning Platform. In my role, I manage the teams focused on building the technology as well as the curriculum that powers DataCamp learners' experience.
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Don’t just take our word for it

*4.6
from 40 reviews
75%
18%
8%
0%
0%
  • Ali M.
    13 days

    I need something to encourage me to continue and keep learning, but unfortunately, I couldn’t found

  • Bhagwat K.
    about 1 month

    Great learning with effective illustration and hands-on labs.

  • Ahmed E.
    about 1 month

    Amazing course with practical exercise

  • Wai L.
    about 2 months

    This course was good

  • Afrim B.
    about 2 months

    I learned a lot from this lesson, for instance that services in an API are called endpoints. And that the OpenAI API isn't the most easy API to call. (For instance I still haven't called it from a Python-file, always from a Jupiter Notebook)

"I need something to encourage me to continue and keep learning, but unfortunately, I couldn’t found"

Ali M.

"Great learning with effective illustration and hands-on labs."

Bhagwat K.

"Amazing course with practical exercise"

Ahmed E.

FAQs

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