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
Requirements
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
Description
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!
Overview
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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