Entire ChatGPT4 Mega Course Work Business and Programming

Boost your Work or Business using ChatGPT4 to build API Python apps, pages, content, chatbots and more [UPDATED DAYLY]
Entire ChatGPT4 Mega Course Work Business and Programming
File Size :
4.17 GB
Total length :
8h 3m

Category

Instructor

Martin Yanev

Language

Last update

3/2023

Ratings

4.3/5

Entire ChatGPT4 Mega Course Work Business and Programming

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

Entire ChatGPT4 Mega Course Work Business and Programming

Requirements

No prior programming experience needed
You will see the GPT-3 Chat application in your own sector of expertise

Description

Master OpenAI ChatGPT: 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-4. Students will learn how to efficiently generate code and create a Python/Flask or Django app with GPT-4, generate HTML for Flask application, create an online blog with Django and GPT-4, front-end: generate HTML, CSS and JS code, automation testing with GPT-4, 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 GPT4 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 Important Course Notes and Source Code

Section 2: What is OpenAI

Lecture 2 Mission of OpenAI

Lecture 3 OpenAI Products and Services

Lecture 4 The Impact and Potential of AI

Section 3: The Basics of GPT and How it Works

Lecture 5 The Basics of GPT and How it Works

Lecture 6 Performing Creative Tasks with GPT3

Lecture 7 Fine-Tuning GPT for Specific Tasks

Section 4: Text Generation Bootcamp with OpenAI Playground and ChatGPT

Lecture 8 OpenAI Quick Start and Overview

Lecture 9 Questions and Answers

Lecture 10 Grammer Correction

Lecture 11 Summarization

Lecture 12 English to Other Languages

Lecture 13 Classification

Lecture 14 Move to Emoji

Lecture 15 Tweet Classifier

Lecture 16 Keywords

Lecture 17 Factual Answering

Lecture 18 Ad from Product Description

Lecture 19 Spreadsheet Creator

Lecture 20 Airport Code Extractor

Lecture 21 Extract Contact Information

Lecture 22 Friend Chat

Lecture 23 Mood to Color

Lecture 24 Story Creator

Lecture 25 Third Person Convertor

Lecture 26 Notes to Summary

Lecture 27 Idea Generator

Lecture 28 Recipe Generator

Lecture 29 Chat Bot

Lecture 30 View Creator

Lecture 31 Study Notes

Lecture 32 Interview Questions

Section 5: Code Generation Bootcamp with OpenAI

Lecture 33 Natural Language to OpenAI API

Lecture 34 SQL Translation

Lecture 35 Parse Unstructured Data

Lecture 36 Python to Natural Language

Lecture 37 Calculate Time Complexity

Lecture 38 Translate Programming Languages

Lecture 39 Python Bug Fixing

Lecture 40 JavaScript Helper Chatbot

Lecture 41 Python Docstring Generator

Lecture 42 Code One Line Function

Section 6: OpenAI ChatGPT API: Building End-to-end ChatBot

Lecture 43 Building Applications with OpenAI API

Lecture 44 Specifying Models and Capabilities

Lecture 45 Building a Chat Bot with OpenAI

Lecture 46 Creating the Chat Bot Front End

Lecture 47 Keep API Responsibilities in the Same Page

Lecture 48 Displaying Chat History & CSS Design

Lecture 49 Shaping, Closing and Minimizing the ChatBot

Section 7: Automated App Development with. ChatGPT and Python

Lecture 50 How to Efficiently Generate Code

Lecture 51 BONUS: Python and PyCharm Installation

Lecture 52 BONUS:Learn Flask and Build a Flask Application

Lecture 53 Create a Python/Flask App with GPT3

Lecture 54 Genrate HTML for Flask Application

Lecture 55 Create a Python/Django App with GPT-3

Lecture 56 Create an Online Blog with Django and GPT-3

Lecture 57 Automation Testing with GPT-3

Lecture 58 Data Analysis and Machine Learning

Section 8: Content Creation with ChatGPT

Lecture 59 Generation of Content Ideas

Lecture 60 Generation Video Scripts

Lecture 61 Generate Articles and Blog Posts

Lecture 62 Social Media Post Sentiment

Lecture 63 Creating Thumbnails with DALL-E

Section 9: Business Ideas for Using GPT Chat and OpenAI API

Lecture 64 Building Web Pages with WordPress

Lecture 65 Freelance Copywriting on Upwork

Lecture 66 Creating Resumes Based on Job Description

Lecture 67 Using GPT-3 as a Student

Lecture 68 Building GPT-3 API Apps

Section 10: ChatGPT Career Development, Hiring, Negotiation and Interview Preparation

Lecture 69 Asking for a Raise with ChatGPT Help

Lecture 70 Mock Interviews with ChatGPT

Lecture 71 Interview Question Finder with ChatGPT for HR Professionals or Job Seekers

Lecture 72 ChatGPT4 for Creating a LinkedIn Page

Lecture 73 ChatGPT4 for Finding Jobs Based on Your Skills

Lecture 74 Writing a Job Description Based on Job Title

Lecture 75 Learn Skills for a Job: ChatGPT as Your Coach

Section 11: ChatGPT New Tools and Features UPDATED MONTHLY

Lecture 76 Free and Paid Version of ChatGPT

Lecture 77 Detect AI Generated Text: AI Classifier

Lecture 78 ChatGPT for Google

Lecture 79 ChatGPT Applications

Section 12: Python Basics

Lecture 80 Python Version Control

Lecture 81 Using Python as Calculator

Lecture 82 Flow Control Statements

Lecture 83 Flow Control Keywords

Lecture 84 Functions

Lecture 85 Classes and Methods

Lecture 86 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

Course Information:

Udemy | English | 8h 3m | 4.17 GB
Created by: Martin Yanev

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