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-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 analysis

The 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.