OpenAI APIs for Developers: ChatGPT, Embeddings & Whisper

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Karan Kakwani,Saqib Shamsi

2:01:30

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1. Introduction

1. Welcome and Course Introduction.mp4

02:01

2. Getting Ready

1.1 requirements.txt

1. Setting up Dev Environment.mp4

03:35

2. Setting up OpenAI Account and API Key.mp4

02:39

3. Making your first OpenAI API Request

1. Setting up a Playground - Jupyter Notebook.mp4

03:06

2. Making a Completion Request.mp4

03:08

3. Making a Chat Completion Request (ChatGPT API).mp4

02:35

4. API Response Structure

1. Breaking down the API Response Structure.mp4

04:19

5. Tokens

1. Understanding and Computing Tokens.mp4

06:11

6. Building Your Own ChatGPT

1. Code up and Build Your Own ChatGPT.mp4

07:39

7. Prompt Engineering

1. Prompt Engineering Key Principles.mp4

01:47

2. Giving Clear and Explicit Instructions.mp4

03:18

3. Getting Output In Specific Formats.mp4

02:47

4. Zero Shot and Few Shot Prompting.mp4

06:18

8. Fine Tuning

1. Introduction to Fine Tuning - What and Why.mp4

01:50

2.1 Download raw data from Kaggle.html

2.2 tweets.csv

2. Preparing Dataset for Fine Tuning.mp4

06:54

3. Fine Tuning an OpenAI Model.mp4

04:39

4. Fetching and Checking Validation Results.mp4

01:28

5. Inferencing and Evaluating Fine Tuned Model on Test Data.mp4

09:50

9. Embeddings

1. What are Embeddings.mp4

01:34

2. How are Embeddings useful.mp4

02:02

3. Making your first OpenAI Embeddings Request.mp4

06:32

4. Vector Indices and Databases.mp4

01:51

5. Creating a Vector Index.mp4

05:10

6. Creating a Vector Database.mp4

08:00

7. Building a Document Search Application.mp4

10:45

10. DALL-E

1. Generating new Images and Variations of Images.mp4

05:02

11. Whisper

1. Making your first OpenAI Whisper Request.mp4

01:18

2. Transcribing a segment of an Audio.mp4

02:50

3. Building a Youtube Summarization Application.mp4

02:22

Description

Text Completion, ChatGPT API, Prompt Engineering, Fine Tuning, Embeddings, Whisper, DALL-E and Real World Applications

What You'll Learn?

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

Who is this 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.

What You Need to Know?

No prior experience with OpenAI APIs or Machine Learning or Data Science needed

More details

Description
Use Coupon Code OPENAI40 to unlock special discount.
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Welcome to our Udemy 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.
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.

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Karan Kakwani brings 8 years of valuable experience in the software industry and is an alumnus of IIT Kharagpur. Having worked with esteemed companies like Samsung and high-growth startups, he specializes in software engineering, computer vision, data science, and generative AI applications. Karan's contributions have led to the development of multiple user-centric products, benefiting thousands of users. With a passion for practical and easy-to-understand teaching, he aims to share his knowledge and learnings through his Udemy courses.

Saqib Shamsi

Instructor's Courses

Hi! My name is Saqib and have eight years of experience working with Machine Learning and Software. Over the course of my career I've worked in assessment, appliances and sales domains. I have published research and patents in machine learning and have taught courses and lectures both in academia and professional settings. My teaching style is to distill topics into their core fundamentals stripping away any unneeded complexity. I also focus on the why of learning various concepts and their practical applications.

Udemy

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