Mastering Python With OpenAI APIs and GPT-4

Mastering Python With OpenAI APIs and GPT-4

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 4Month/40 Hours                                                  Price:55,000

                                                                                      50,000

Mastering Python With OpenAI APIs and 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.


What you’ll learn

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

Course Content:

Module1: Introduction

Getting Access To Our Discord Community
A Brief History of OpenAI
Let’s Talk About GPT
OPTIONAL: The Transformer Architecture
Signing Up For An Account03:47
Getting The Course Code
Getting The Course Slides

Module2: Getting Started

Install Requirements
Our First Completion Request
For Windows Users: Editing Text Files
Hiding Our API Key
Understanding Tokens
Maxtokens
Stop Sequences
N and Echo
The Different Completion Models
Comparing Model Performance and Pricing

Module3: Prompt Engineering

The Elements of a Good Prompt
Controlling The Output Format
Summarization Prompts
Data Extraction Prompts
Sentiment Analysis Prompt
Zero-Shot Vs. Few-Shot Prompting
“Let’s Think Step By Step” Prompting
Text Transformation Prompts

Module4: Color Palette Generator Project

Introducing The Color Palette Project
Color Rendering in Colaboratory
Writing The Color Palette Generator Prompt
Writing a Color-Swatch Rendering Function
Setting Up The Flask Server
Integrating OpenAI With Server
Writing the Palette Endpoint
Creating The Form
Rending The Colors In The Browse
Copy and Paste Functionality
Styling The Color Block
Styling The Form
Refactoring Our Front-End Code

Module5: Important API Parameters

Temperature
Understanding Top P
Frequency Penalty
Presence Penalty
Streaming Responses

Module6: The Chat API & GPT4

Introduction to Chat API
Our First Chat Request
Important Note On Pricing!
Prompting With Properly Formatted Messages
Note on GPT-3.5-Turbo Version
Rewriting a Completion Prompt In Chat Format
Chat API Parameters

Module7: Building A GPT-4 Chatbot

Introducing Our Chatbot Project
Writing The Basic Chatbot Structure
Persisting Messages Across Requests
Adding Optional Personalities
Colorizing The Chatbot Output

Module8: Working with GPT-4and Code

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

Module9: Cost Estimation with TikToken

Counting Tokens With TikToken
Counting GPT-4 Message Token

Module 10: GPT4 -Automatic Code Review

Introducing The Basic Code Reviewe
Building The Basic Code Reviewer Pt 1
Building The Basic Code Reviewer Pt 2
Introducing The Interactive Code Reviewer
Interactive Code Reviewer Prompt
Interactive Code Reviewer Walkthrough

Module11: GPT-4 AI Spotify Playlist Generator Project

Introducing The Spotify Project
Writing The Playlist Generating Prompt
Finishing The Playlist Prompt
Getting Spotify Developer Credentials
Spotify Authentication Via Pytho
Searching For Spotify Tracks Via Pytho
Creating Spotify Playlists Programmatically
Adding in OpenAI
Accepting Command Line Arguments
Overview of the Polished Solution

Modue12: Embeddings

Requirements
Introducing Embeddings
Generating a Single Embedding
Introducing The Movie Embedding Visualization
Getting our Movie Data
Getting Our Movie Data Ready
Generating Embeddings for 5000 Movies
Visualizing Our Embeddings With Atlas
Recommending Movies Using Our Embedding

Module13:Using Embedding to Enhance GPT-4

Expanding GPT-4 “Knowledge” With Embeddings
Gathering Our Embeddings
Implementing Q&A With Embeddings & GPT-4

Module14: Sentiment Analysis Project

Introducing The Reddit Sentiment Analysis Project
Collecting Comments From Reddit
Analyzing Sentiment In The Comments
Plotting The Results

Module15: Book Summarize Project

Introducing The Book Summarizer
Preparing Book Text For Summarization
Context Window Math
Summarization Logic
Caching Results
Performing a “Meta-Summary” With GPT-4

Module16: DALL-E-APP

Intro To DALL-E
Making a DALL-E Request
Saving DALL-E Images
Alternative Approach To Saving Images
Requesting Image Variation
DALL-E Image Edits

Module17: Stable Diffusion

Introducing Stability.AI and Stable Diffusion
Using the Stability SDK
Introducing The Choose Your Own Adventure Project05:33
GPT-4 CYOA Text Generation
Stable Diffusion CYOA Image Generation

Module18: Whisper Audio to Text

Introducing Whisper
The Basics of Whisper
Providing a Prompt to Whisper
Translating Audio With Whisper
Transcribing Non-English Audio
Running The Whisper Model Locally

Requirements
Just some beginner Python experience. That’s it!

Who this course is for:
Developers curious about AI
Software engineers looking to supercharge their workflow with generative models
Entrepreneurs interested in the OpenAI’s tools offers
Content Creators interested in supplementing their creative workflow

International Student Fees: 400$ US


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