OpenAI Python API Bootcamp Learn to use AI GPT3 and more

Discover the power of Artificial Intelligence with OpenAI’s powerful API to generate text and images in projects
OpenAI Python API Bootcamp Learn to use AI GPT3 and more
File Size :
4.19 GB
Total length :
8h 52m



Jose Portilla


Last update




OpenAI Python API Bootcamp Learn to use AI GPT3 and more

What you’ll learn

Understand the basics of the OpenAI API
Set-up an OpenAI Account for API use
Learn to use OpenAI API with Python for various tasks
Create potential start-up ideas through 10+ projects
Integrate OpenAI API into existing Python applications for added AI capabilities
Learn how to use Text Embedding with OpenAI
Understand how to apply OpenAI’s GPT models
Discover how to use the DALLE-2 API to generate images
Learn to create content and images automatically for users

OpenAI Python API Bootcamp Learn to use AI GPT3 and more


Python programming experience required
Python Data Ecosystem (Pandas, Numpy, etc.) useful but not required
Ability to sign up to OpenAI API with a credit card
You should understand how to install libraries with “pip install” commands


Welcome to the best online course for learning how to leverage the power of OpenAI’s Python API for AI!In this comprehensive course, you will learn how to harness the power of OpenAI to build intelligent applications and solutions using Python. The OpenAI API is one of the most advanced artificial intelligence platforms available, providing a range of capabilities for natural language processing, computer vision, and more. With this API, you can create AI applications that can understand and respond to human language, generate text, perform sentiment analysis, and much more.This course is project-oriented, with every section has a unique project designed to be the basis of a start-up idea! You’ll gradually learn new skills as you proceed from project to project throughout the sections of the courseBy the end of this course, you will have a solid understanding of how to use the OpenAI API with Python and will be able to integrate AI into your own projects. You will learn how to authenticate with the API, how to make API calls, and how to process and analyze the results. You will also learn how to perform NLP tasks, such as text generation and question answering, and how to use the API for building AI-powered solutions.Discover the Power of AI with Real World Projects:Natural Language to SQL QueriesAutomatic Blog Post GenerationAutomated Recipe from IngredientsTranslation and Summarize from International NewspaperAutomatic Code Docstrings for PythonFine-Tune Custom ChatbotsPerform Sentiment Analysis on Reddit PostsVector Text Embed Company DocumentsThroughout the course, you will be working on real-world examples and hands-on exercises, allowing you to gain practical experience and put your new knowledge into action. You will also learn best practices for using the OpenAI API effectively, including error handling and performance optimization.Whether you’re a software developer, data scientist, or simply interested in learning about artificial intelligence, this course is designed for you. By the end of this course, you will have a strong foundation in using the OpenAI API and will be able to apply this knowledge to build your own AI solutions.So if you’re ready to take your skills to the next level and explore the world of AI, enroll in this course today and start building intelligent applications with the OpenAI API and Python!


Section 1: Welcome to the course!

Lecture 1 FAQs, Course Files, How to Get Help

Lecture 2 Course Curriculum Overview

Lecture 3 OpenAI Overview

Lecture 4 Crash Course: How does GPT work?

Lecture 5 Crash Course: How does DALLE work?

Lecture 6 Note on changes to Free Tier

Lecture 7 OpenAI Account Set-up

Lecture 8 AI Safety and Alignment

Lecture 9 OpenAI Updates!

Lecture 10 OpenAI Pricing

Section 2: Natural Language to SQL

Lecture 11 NLP to SQL – Project Overview

Lecture 12 Tabular Data Set-up

Lecture 13 Natural Language Request

Lecture 14 Text Completion API – Parameter Overview

Lecture 15 OpenAI API Call and Request Handling

Section 3: Automatic Exam Creator

Lecture 16 Automatic Exam Generation – Project Overview

Lecture 17 Prompt Design

Lecture 18 Generating Exam from Prompt

Lecture 19 Q&A Extraction

Lecture 20 Exam Simulation

Lecture 21 Python Script Walkthrough

Section 4: Automatic Recipe and Dish Image Creator

Lecture 22 Introduction to Recipe Project

Lecture 23 Generating Recipe Text via Completion API

Lecture 24 Generating Dish Image via Image API (DALLE)

Lecture 25 Full Python Script Walkthrough

Section 5: Automatic Blog Post Creator

Lecture 26 Introduction to Automatic Blog Post Project

Lecture 27 GitHub Page Setup

Lecture 28 GitPython – Automatic Update Functions – Part One

Lecture 29 GitPython – Automatic Update Functions – Part Two

Lecture 30 OpenAI API Calls

Lecture 31 Python Script Walkthrough

Section 6: GPT Sentiment Analysis

Lecture 32 Introduction to Reddit Sentiment Analysis

Lecture 33 Reddit API Set-up

Lecture 34 Reddit Comments and Titles

Lecture 35 Perform Sentiment Analysis via OpenAI

Section 7: Automatic Code Explainer – Docstrings

Lecture 36 Introduction to Code Explainer

Lecture 37 OpenAI API Call – Docstring

Lecture 38 Merge Python function and Docstring

Lecture 39 Python Script Walkthrough

Section 8: Translation Project

Lecture 40 Introduction to Translation News Summary Project

Lecture 41 Scraping International Newspaper Sites

Lecture 42 OpenAI Translation and Summary

Section 9: Fine-Tuning and ChatBots

Lecture 43 Introduction to Fine-Tuning and Chat Bots

Lecture 44 Data Set-Up

Lecture 45 Fine-Tuning Process and Price Estimation

Lecture 46 Using the Fine-Tuned Model

Section 10: Text Embedding for Question and Answering

Lecture 47 Introduction to Text Embedding

Lecture 48 Model Hallucination

Lecture 49 Document Data

Lecture 50 Token Count and Pricing

Lecture 51 Document Similarity and Context Injection

Section 11: ChatGPT-API

Lecture 52 Introduction to ChatGPT API

Lecture 53 ChatGPT API History Tutor

Lecture 54 ChatGPT API History Tutor – Part Two

Section 12: Whisper API

Lecture 55 Introduction to Whisper API

Lecture 56 Whisper API – Audio Summary

Section 13: APPENDIX – Command Line

Lecture 57 Command Line Basics

Python developers looking to understand the full potential of the latest in OpenAI Python API

Course Information:

Udemy | English | 8h 52m | 4.19 GB
Created by: Jose Portilla

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