4.72 out of 5
4.72
1054 reviews on Udemy

Mastering OpenAI Python APIs: Unleash ChatGPT and GPT4

Recorded with GPT-4! ChatGPT API, Whisper, Embeddings, DALL-E, and Tons of Projects!
Instructor:
Colt Steele
13,468 students enrolled
English [Auto] More
Master OpenAI's GPT-4 and its text completion capabilities
Understand GPT parameters to fine-tune the model's performance
Write, analyze, and debug code in any language using GPT-4
Structure and refine GPT's output for consistency and clarity
Customize GPT-4 to address specific use cases and unique requirements
Generate and edit images using DALL-E 2
Employ text embeddings for searching, classifying, and understanding text
Build an embedding-powered recommendation algorithm
Use Whisper to translate and transcribe audio files

Unleash the Power of AI: Master OpenAI’s APIs, including GPT-4, DALL-E, and Whisper in this Comprehensive and Hands-On Course. This is a brand new course, recorded with GPT-4!

Step into the world of artificial intelligence and discover how to harness OpenAI’s cutting-edge APIs, including GPT3, GPT-3.5, GPT4, DALL-E, and Whisper, to create groundbreaking applications and solutions. This immersive, project-driven course is designed for learners of all backgrounds and skill levels, providing a solid foundation in AI-driven development.

In this comprehensive course, you will:

  • Develop a deep understanding of OpenAI’s generative models and their potential applications

  • Master GPT-4 for natural language processing, including text generation, summarization, translation, and more

  • Use GPT-4 to debug code, improve code, and even write code from scratch

  • Generate visually stunning images and artwork using DALL-E based on textual prompts

  • Convert spoken audio into accurate transcriptions and translations with the power of Whisper

  • Use AI Embeddings to distill, index, search, and compare text, unveiling the geometric power for comparing words, paragraphs, and documents

Real-World Projects for Practical Experience:

  • Create a dynamic Q&A Bot using GPT-4

  • Create a visual color palette search engine with GPT-4

  • Write an interactive code reviewing assistant with GPT-4

  • Create an AI-powered Spotify playlist generator

  • Analyze the sentiment of Reddit comments using GPT-4

  • Summarize books of any size into a couple of paragraphs

  • Create your own interactive, infinite Choose Your Own Adventure application with DALL-E and GPT-4

  • Generate an Emedding-Powered movie recommendation algorithm

Throughout the course, you will engage in hands-on projects and real-world examples, allowing you to immediately apply your newly-acquired knowledge and skills. We also delve into:

  • Best practices for prompt engineering, tokenization, and temperature settings

  • Strategies for optimizing API performance, error handling, and resource management

  • The ethical considerations and challenges associated with AI-driven development

Whether you’re a software developer, data scientist, or an AI enthusiast, this course will equip you with the expertise to integrate OpenAI’s APIs into your projects and create innovative AI-powered solutions.

Embark on your AI journey and transform your skills with this comprehensive and engaging course. Enroll today and start unlocking the limitless potential of OpenAI’s GPT-4, DALL-E, and Whisper APIs!

Introduction

1
Welcome & Course Overview
2
Getting Access To Our Discord Community
3
A Brief History of OpenAI
4
Let's Talk About GPT
5
OPTIONAL: The Transformer Architecture
6
Signing Up For An Account
7
Getting The Course Code
8
Getting The Course Slides

Getting Started

1
Install Requirements
2
Our First Completion Request
3
For Windows Users: Editing Text Files
4
Hiding Our API Key
5
Understanding Tokens
6
max_tokens
7
Stop Sequences
8
N and Echo
9
The Different Completion Models
10
Comparing Model Performance and Pricing

Prompt Engineering

1
The Elements of a Good Prompt
2
Controlling The Output Format
3
Summarization Prompts
4
Data Extraction Prompts
5
Sentiment Analysis Prompts
6
Zero-Shot Vs. Few-Shot Prompting
7
"Let's Think Step By Step" Prompting
8
Text Transformation Prompts

Color Palette Generator Project

1
Introducing The Color Palette Project
2
Color Rendering in Colaboratory
3
Writing The Color Palette Generator Prompt
4
Writing a Color-Swatch Rendering Function
5
Setting Up The Flask Server
6
Integrating OpenAI With Server
7
Writing the Palette Endpoint
8
Creating The Form
9
Rending The Colors In The Browser
10
Copy and Paste Functionality
11
Styling The Color Blocks
12
Styling The Form
13
Refactoring Our Front-End Code

Important API Parameters

1
Temperature
2
Understanding Top P
3
Frequency Penalty
4
Presence Penalty
5
Streaming Responses

The Chat API & GPT-4

1
Introducing The Chat API
2
Our First Chat Request
3
Important Note On Pricing!
4
Prompting With Properly Formatted Messages
5
Note on GPT-3.5-Turbo Versions
6
Rewriting a Completion Prompt In Chat Format
7
Chat API Parameters

Building A GPT-4 Chatbot

1
Introducing Our Chatbot Project
2
Writing The Basic Chatbot Structure
3
Persisting Messages Across Requests
4
Adding Optional Personalities
5
Colorizing The Chatbot Output

Working With GPT-4 And Code

1
Asking GPT-4 To Explain Code
2
Calculating Time Complexity With GPT-4
3
Translating JS To Python With GPT-4
4
Fixing Code Bugs With GPT-4
5
Generating Code From Scratch With GPT-4

Cost Estimation With TikToken

1
Counting Tokens With TikToken
2
Counting GPT-4 Message Tokens

GPT-4 Automatic Code Reviewer

1
Introducing The Basic Code Reviewer
2
Building The Basic Code Reviewer Pt 1
3
Building The Basic Code Reviewer Pt 2
4
Introducing The Interactive Code Reviewer
5
Interactive Code Reviewer Prompt
6
Interactive Code Reviewer Walkthrough

GPT-4 AI Spotify Playlist Generator Project

1
Introducing The Spotify Project
2
Writing The Playlist Generating Prompt
3
Finishing The Playlist Prompt
4
Getting Spotify Developer Credentials
5
Spotify Authentication Via Python
6
Searching For Spotify Tracks Via Python
7
Creating Spotify Playlists Programmatically
8
Adding in OpenAI
9
Accepting Command Line Arguments
10
Overview of the Polished Solution

Embeddings

1
Requirements
2
Introducing Embeddings
3
Generating a Single Embedding
4
Introducing The Movie Embedding Visualization
5
Getting our Movie Data
6
Getting Our Movie Data Ready
7
Add your Tenacity Import
8
Generating Embeddings for 5000 Movies
9
Visualizing Our Embeddings With Atlas
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
4.7
4.7 out of 5
1054 Ratings

Detailed Rating

Stars 5
785
Stars 4
223
Stars 3
38
Stars 2
4
Stars 1
4
01a1ec42ca519f1e0cacc1f824f0f544
30-Day Money-Back Guarantee

Includes

13 hours on-demand video
9 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion