Master Openai Gpt-3 Business Applications & Code Generation

What you'll learn
How to use GPT Chat to create chatbots or conversational interfaces.
How to use the API to create custom models or integrations
How to use GPT3 Chat as a school student for essays and test questions
How use GPT3 Chat for copywriting and to create resumes and job applications
How to build web pages content and HTMLs using Artificial Inteligence
How to build end-to-end Python applications using OpenAI API
How to use Translate Programming Languages tool and Python Bug Fixing
How to use Calculate Time Complexity tool
How to efficiently generate code with OpenAI's GPT-3
How to create a Python/Flask or Django app with GPT-3
How to generate video article topics, video scripts, articles, blog posts, and social media posts using GPT chat
How to create thumbnails with DALL-E
How to get information for positive and negative tweets sentiment analysis
How to use GPT3 to translate and generate SQL code for databases
Fine-tuning GPT for specific tasks or domains
The role of OpenAI in the broader AI community
Requirements
No prior programming experience needed
You will see the GPT-3 Chat application in your own sector of expertise
Description
"Master OpenAI GPT-3: Business Applications & Code Generation" is a comprehensive course that covers the full range of OpenAI products and services, from the history and mission of the company to the potential and impact of AI. The course is divided into 7 sections, each focusing on a different aspect of OpenAI.In the first section, students will learn about the history and mission of OpenAI, the products and services offered by the company, the impact and potential of AI, and the role of OpenAI in the broader AI community.The second section is dedicated to GPT (Generative Pretrained Transformer), the state-of-the-art language model developed by OpenAI. Students will learn the basics of GPT, including how it works, and how to use it for tasks such as text generation and language translation. The section will also cover fine-tuning GPT for specific tasks or domains.The third section of the course focuses on providing hands-on experience with the OpenAI examples page. Students will learn how to use various tools and features such as Quick Start and Overview, Grammar Correction, Summarization, Natural language to OpenAI API, Text to Command, English to Other Languages, SQL Translation, Parse Unstructured Data, Classification, Python to Natural Language, Move to Emoji, Calculate Time Complexity, Translate Programming Languages, Python Bug Fixing and more. Through these examples, students will gain a better understanding of how to apply OpenAI's products and services to real-world projects.The fourth section is all about building end-to-end chatbot using OpenAI API. Students will learn about building applications with OpenAI API, specifying models and capabilities, building a chatbot with OpenAI, creating the chatbot front-end, keeping API response in the same page, displaying chat history & CSS design, shaping, closing and minimizing the chatbot.The fifth section covers generating code with OpenAI's GPT-3. Students will learn how to efficiently generate code and create a Python/Flask or Django app with GPT-3, generate HTML for Flask application, create an online blog with Django and GPT-3, front-end: generate HTML, CSS and JS code, automation testing with GPT-3, and data analysis and machine learning.The sixth section is all about content creation with GPT chat. Students will learn how to generate video article topics, video scripts, articles, blog posts, and social media posts using GPT chat. In this section, students will also learn how to create thumbnails with DALL-E, and get information for positive and negative tweets sentiment analysisThe final section is focused on business ideas for using GPT chat and OpenAI API. Students will learn about building web pages content and HTMLs, copywriting, creating resumes and job applications, using GPT3 Chat as a school student for essays and test questions, and ideas for using the API to create custom models or integrations, Using GPT Chat to create chatbots or conversational interfaces. By the end of this course, students will have a solid understanding of OpenAI's products and services and be able to apply their knowledge to real-world business applications.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Important Course Notes and Source Code
Section 2: What is OpenAI
Lecture 3 Mission of OpenAI
Lecture 4 OpenAI Products and Services
Lecture 5 The Impact and Potential of AI
Section 3: The Basics of GPT and How it Works
Lecture 6 The Basics of GPT and How it Works
Lecture 7 Performing Creative Tasks with GPT3
Lecture 8 Fine-Tuning GPT for Specific Tasks
Section 4: Text Generation Bootcamp with OpenAI Playground and GPT-3
Lecture 9 OpenAI Quick Start and Overview
Lecture 10 Questions and Answers
Lecture 11 Grammer Correction
Lecture 12 Summarization
Lecture 13 English to Other Languages
Lecture 14 Classification
Lecture 15 Move to Emoji
Lecture 16 Tweet Classifier
Lecture 17 Keywords
Lecture 18 Factual Answering
Lecture 19 Ad from Product Description
Lecture 20 Spreadsheet Creator
Lecture 21 Airport Code Extractor
Lecture 22 Extract Contact Information
Lecture 23 Friend Chat
Lecture 24 Mood to Color
Lecture 25 Story Creator
Lecture 26 Third Person Convertor
Lecture 27 Notes to Summary
Lecture 28 Idea Generator
Lecture 29 Recipe Generator
Lecture 30 Chat Bot
Lecture 31 View Creator
Lecture 32 Study Notes
Lecture 33 Interview Questions
Section 5: Code Generation Bootcamp with OpenAI
Lecture 34 Natural Language to OpenAI API
Lecture 35 QSL Translation
Lecture 36 Parse Unstructured Data
Lecture 37 Python to Natural Language
Lecture 38 Calculate Time Complexity
Lecture 39 Translate Programming Languages
Lecture 40 Python Bug Fixing
Lecture 41 JavaScript Helper Chatbot
Lecture 42 Python Docstring Generator
Lecture 43 Code One Line Function
Section 6: OpenAI GPT-3 API: Building End-to-end ChatBot
Lecture 44 Building Applications with OpenAI API
Lecture 45 Specifying Models and Capabilities
Lecture 46 Building a Chat Bot with OpenAI
Lecture 47 Creating the Chat Bot Front End
Lecture 48 Keep API Responsibilities in the Same Page
Lecture 49 Displaying Chat History & CSS Design
Lecture 50 Shaping, Closing and Minimizing the ChatBot
Section 7: Automated App Development with GPT-3 and Python
Lecture 51 How to Efficiently Generate Code
Lecture 52 Create a Python/Flask App with GPT3
Lecture 53 Genrate HTML for Flask Application
Lecture 54 Create a Python/Django App with GPT-3
Lecture 55 Create an Online Blog with Django and GPT-3
Lecture 56 Automation Testing with GPT-3
Lecture 57 Data Analysis and Machine Learning
Section 8: Content Creation with GPT-3 Chat
Lecture 58 Generation of Content Ideas
Lecture 59 Generation Video Scripts
Lecture 60 Generate Articles and Blog Posts
Lecture 61 Social Media Post Sentiment
Section 9: Python Basics
Lecture 62 Python Version Control
Lecture 63 Using Python as Calculator
Lecture 64 Flow Control Statements
Lecture 65 Flow Control Keywords
Lecture 66 Functions
Lecture 67 Classes and Methods
Lecture 68 Error Handling
The course is designed to be accessible to a wide range of students, and it covers a wide range of topics,Developers and programmers who want to learn how to use OpenAI's products and services to build intelligent applications.,Data Scientists and Machine Learning Engineers who want to learn how to use GPT and other OpenAI models to improve their projects.,Entrepreneurs and business professionals who want to learn how to use OpenAI's products and services to improve their business operations and create new business opportunities.,Researchers and academics who want to learn about the latest developments in AI and how to apply them to their research.,Anyone who is interested in AI and wants to learn more about how it can be used in real-world applications.,School and university students looking to boos their grades and assignment performance

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