OpenAI APIs for Developers: ChatGPT, Fine tuning, DALL-E, Whisper
A practical guide for developing applications using OpenAI APIs including Text Completion, ChatGPT API, Prompt Engineering, Fine Tuning, Embeddings, Whisper, DALL-E and Real World Applications
Updated on Feb, 2025
Language - English
Development ,Data Science,Artificial Intelligence
Lectures -30
Resources -1
Duration -2 hours
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Course Description
Welcome to our course on mastering OpenAI APIs. Our course follows a philosophy of minimalism, ensuring a focused and practical learning experience.
Unlike other courses that delve into the history of OpenAI and the foundations of transformer architectures, we believe in getting you up and running quickly. We understand that you don't need that extensive background knowledge to start using OpenAI effectively.
Our course is designed for both beginners and advanced programmers, regardless of whether you have a background in machine learning or data science. We believe that anyone can benefit from this course, regardless of their expertise.
We've crafted our course to be concise and straightforward. We skip the unnecessary details and dive straight into the essentials, ensuring that you grasp the core concepts quickly and efficiently.
Our videos are short, simple, and easy to understand, allowing you to focus on the key aspects that truly matter.
From scratch, we guide you through the process of setting up and working with OpenAI. You'll learn how to generate text, images, embeddings, and even convert speech to text. While we do cover theory to provide a solid understanding of various models, our emphasis is on practical implementation.
To make the learning experience even more exciting, we will build real-world applications together. Throughout the course, we'll develop a multi-class text classifier, a document search tool, a YouTube video summarizer, and even our own ChatGPT.
We understand that time is valuable, so we've condensed our content to cover all the necessary ground without unnecessary fluff.
With our course, you'll gain the knowledge and skills to create useful products and applications using OpenAI.
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Who this course is for:
- Both beginners and advanced programmers, regardless of whether you have a background in machine learning or data science.
- We believe that anyone can benefit from this course, regardless of their expertise.
Goals
- Set up your development environment including setting up OpenAI account and configuring API access
- Make your first OpenAI API request using Python
- Explore different types of API endpoints, such as Completion and Chat Completion (ChatGPT API)
- Understand the structure of API responses and how to break them down effectively
- Learn about tokens and how to compute them for efficient API usage
- Build your own ChatGPT using OpenAI API
- Master the art of prompt engineering for generating desired outputs
- Prompt Engineering Key Principles
- Utilize zero-shot and few-shot prompting techniques for enhanced results
- Dive into fine-tuning and understand its purpose, along with the steps involved to develop a multi-class Text Classifier
- Harness the power of Embeddings and learn how they can be used effectively
- Perform OpenAI Embeddings requests and work with vector indices and databases
- Create a Document Search Application using Embeddings
- Utilize OpenAI Whisper for audio summarization and build a Youtube Summarization Application
- Work with the DALL-E model for generating creative images
Prerequisites
- No prior experience with OpenAI APIs or Machine Learning or Data Science needed
- Basic Coding Knowledge preferably in Python
Curriculum
Check out the detailed breakdown of what’s inside the course
Preview this course
1 Lectures
-
Course Introduction1
02:00
02:00
Introduction
1 Lectures
Getting Ready
2 Lectures
Making your first OpenAI API Request
3 Lectures
API Response Structure
1 Lectures
Tokens
1 Lectures
Building your own ChatGPT
1 Lectures
Prompt Engineering
4 Lectures
Fine Tuning
5 Lectures
Embeddings
7 Lectures
DALL-E
1 Lectures
Whisper API
3 Lectures
Instructor Details
Karan Kakwani
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