OpenAI is an artificial intelligence research laboratory that aims to develop and promote user-friendly AI. OpenAI conducts and publishes AI research, and it also develops and releases AI tools and models. Some of the notable projects and achievements of OpenAI include GPT-3, a state-of-the-art language model, and DALL-E, an AI system that generates images from textual descriptions.

API stands for Application Programming Interface. An API specifies how software components should interact and provides a standardized way for different software systems to communicate with each other. In simpler terms, an API is a set of rules that allows different software systems to talk to each other.

What does OpenAI's GPT API do?

OpenAI's GPT (Generative Pre-trained Transformer) API is a natural language processing (NLP) tool that uses state-of-the-art machine learning algorithms to generate human-like text. It is a language model that can be used for a variety of tasks, such as language translation, text completion, question-answering, and content generation.

What kind of jobs use OpenAI's GPT API?

OpenAI's GPT API can be used by a wide range of jobs and industries that require natural language processing capabilities. Any industry or job that requires natural language processing capabilities can benefit from using OpenAI's GPT API, including content creation, customer service, education, marketing, translation, research, and more.

Free

Course

Intro to OpenAI API

Explore OpenAI’s API and learn how to write more effective generative AI prompts that help improve your results.

This course includes

7,649 learners enrolled

This course includes

Skill level
Beginner
Time to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary

<1 hour
Prerequisites
None

About this course

OpenAI’s API is a portal into the world of large language models, and understanding it is important when working with generative AI in your code and projects. This course will examine the API and explain how to create more reliable outputs from LLMs, effectively create input prompts to receive the desired text output, and control the output to counteract the model’s non-deterministic behavior.

Skills you'll gain

Understand what APIs are and their uses
Create reliable output from LLMs
Write effective input prompts

Syllabus

Intro to OpenAI GPT API
Learn about the OpenAI API structure, including endpoints, parameters, and the request and response objects.

lesson OpenAI API
quiz OpenAI API
informational Next Steps
Certificate of completion available with Plus or Pro
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Meet the creator of the course

Meet the full team

Alisha Grama

Senior Instructional Designer, Computer Science at Codecademy

Alisha is a Senior Instructional Designer in the computer science domain at Codecademy. Alisha majored in Computer Science and minored in Ethics at the University of Rochester, where she gained experience as a Teaching Assistant. Before joining Codecademy, she taught STEM concepts to secondary students, including as the Lead Algebra Teacher at a Brooklyn charter school.

Meet the full team

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