YoVDO

Working with the OpenAI API

Offered By: DataCamp

Tags

Python Courses Sentiment Analysis Courses Classification Courses API Management Courses Text Generation Courses Audio Transcription Courses

Course Description

Overview

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

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 in 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. In this course, you'll gain hands-on experience working with the OpenAI API in Python, and will explore the wide range of functionality that the API provides. By the end of the course, you'll have the skills and knowledge needed to leverage the power of the OpenAI API to develop solutions to real-world problems.

Syllabus

  • Introduction to the OpenAI API
    • 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.
  • 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!
  • 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.

Taught by

James Chapman

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