❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [April 29th, 2023]

This course provides an overview of how to use the AIPRM browser extension for ChatGPT to become an expert in prompt engineering. Participants will learn how to use ChatGPT to make money online using artificial intelligence, how to use OpenAI GPT-3 to make money with AI, and how to invest in ChatGPT Pre-IPO. Additionally, participants will be provided with resources such as Discord, Twitch, and Instagram to help them stay up to date with the latest developments in the field. By the end of the course, participants will have a better understanding of how to use ChatGPT to make money with AI and how to invest in ChatGPT Pre-IPO.

[Applications]
After this course, users can apply the knowledge they have gained to create their own ChatGPT prompts and use them to make money online. They can also use the resources provided in the course to learn more about ChatGPT and OpenAI, and how to invest in ChatGPT Pre-IPO. Additionally, users can join the Discord and Twitch channels to stay up to date with the latest news and updates about ChatGPT and OpenAI. Finally, users can follow the Instagram page to get more tips and tricks on how to make money with ChatGPT and OpenAI.

[Career Paths]
1. Chatbot Developer: Chatbot developers are responsible for creating and maintaining chatbots for businesses. They use natural language processing (NLP) and artificial intelligence (AI) to create chatbots that can interact with customers and provide them with the information they need. They must be knowledgeable in programming languages such as Python, JavaScript, and HTML. As the demand for chatbots increases, the need for chatbot developers is expected to grow.

2. AI Engineer: AI engineers are responsible for developing and deploying AI-based solutions. They must be knowledgeable in machine learning, deep learning, and natural language processing. They must also be able to design and implement AI-based solutions that can be used in various industries. As AI technology advances, the demand for AI engineers is expected to increase.

3. Data Scientist: Data scientists are responsible for analyzing and interpreting data to gain insights and make predictions. They must be knowledgeable in statistics, mathematics, and computer science. They must also be able to use various data analysis tools and techniques to uncover patterns and trends in data. As businesses become more data-driven, the demand for data scientists is expected to grow.

4. Machine Learning Engineer: Machine learning engineers are responsible for developing and deploying machine learning models. They must be knowledgeable in machine learning algorithms and techniques, as well as programming languages such as Python and R. They must also be able to design and implement machine learning models that can be used in various industries. As machine learning technology advances, the demand for machine learning engineers is expected to increase.

[Education Paths]
1. Artificial Intelligence Degree: Artificial Intelligence (AI) is a rapidly growing field that is transforming the way we interact with technology. AI degree programs provide students with the skills and knowledge to develop and apply AI solutions to real-world problems. AI degree programs typically include courses in machine learning, natural language processing, computer vision, robotics, and data science. As AI technology continues to evolve, AI degree programs are becoming increasingly popular and in demand.

2. Computer Science Degree: Computer Science is a broad field that covers the design, development, and analysis of computer systems and software. Computer Science degree programs provide students with the skills and knowledge to develop and maintain computer systems, create software applications, and analyze data. As technology continues to evolve, computer science degree programs are becoming increasingly popular and in demand.

3. Data Science Degree: Data Science is a rapidly growing field that is transforming the way we interact with data. Data Science degree programs provide students with the skills and knowledge to analyze and interpret data, develop data-driven solutions, and create predictive models. As data science technology continues to evolve, data science degree programs are becoming increasingly popular and in demand.

4. Robotics Degree: Robotics is a rapidly growing field that is transforming the way we interact with machines. Robotics degree programs provide students with the skills and knowledge to design, develop, and program robots for a variety of applications. As robotics technology continues to evolve, robotics degree programs are becoming increasingly popular and in demand.