Free
Course

Using OpenAI APIs: Accessing OpenAI APIs from Python

Excel in OpenAI APIs using Python. Discover API key authentication, access to completions APIs via endpoints, model configurations, and control of creativity and response length.

  • Skill level

    Beginner
  • Time to complete

    Approx. 2 hours
  • Certificate of completion

    Yes
  • Prerequisites

    None

About this course

OpenAI application programming interfaces (APIs) represent a groundbreaking leap in the accessibility of state-of-the-art natural language processing (NLP) capabilities. These APIs provide developers with a powerful toolset to integrate advanced language models seamlessly into their applications, products, and services. You will start this course by engaging with OpenAI through the command-line, utilizing the OpenAI APIs. You will learn how to authenticate yourself using API keys when programmatically accessing API endpoints using cURL commands. You will explore how to configure context for past interactions with the model and access both chat completions and legacy completions APIs via their respective endpoints. Moving onto Python, you will install the OpenAI library to create a client object for endpoint access. You will configure the API key and send requests to the chat completions endpoint with prompts in the JSON format. You will also explore the legacy completions API using the same client object. You will be introduced to the diverse range of model offerings from OpenAI and learn how to use those models. Finally, you will configure model parameters to adjust the response from the model. You will learn about the seed parameter to receive deterministic responses and how the system fingerprint helps track infrastructure changes on the server. You will explore various parameters, including Top P and Temperature for controlling creativity, max length, and stop sequences for response length, and frequency and presence penalty for word and topic repetition.

Learning objectives

  • Discover the key concepts covered in this course
  • Create application programming interface (api) keys for openai apis
  • Send an api request from curl

How it works

Expert-led videos

In this course, you'll watch videos created by industry-leading experts for some of the biggest tech companies in the world. They'll cover key concepts, go through sample applications, prepare you for industry certifications, and more. Watch on any device — whenever and wherever you want — to learn at your own pace.

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6 In-Demand AI Skills & How to Learn Them

Cory Stieg
May 21, 2024

Hiring tech pros with AI skills is more difficult than any other area of tech. Simply put, the growing demand for AI experts outweighs the supply — organizations are eager to incorporate AI into their businesses, but there’s a limited pool of AI talent to choose from. In fact, in Skillsoft’s IT Skills and Salary Report 2023, 30% of IT decision-makers report having the most difficulty hiring qualified AI professionals.

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Learning about AI with Codecademy is one of the smartest things you can do to further your career in tech. Our courses are interactive and utilize industry-leading AI tools, so you can get hands-on experience working with AI systems as you learn about the concepts that power them. And with our career paths, you can build a portfolio of impressive projects that show employers you can apply AI skills to real-world scenarios.

If you’re not sure where to begin, here are the most in-demand AI concepts, programming languages, frameworks, and systems as well as the courses and paths to start learning these skills.

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