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Complete ChatGPT Tutorial - [Become A Power User in 30 Minutes]

Learners: 2,097,803

Instructor: Santrel Media

Duration:

Become a power user of ChatGPT in just 30 minutes with our Complete ChatGPT Tutorial! Learn the 10 major types of commands you can give ChatGPT to get the most out of this powerful tool. Follow along with our step-by-step video and stay ahead of the curve with our AI newsletter. ▼▲

Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Free

Provider:

Youtube

Certificate:

No Information

Language:

English

Start Date:

2023-02-25 00:00:00

Course Overview

❗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 the powerful AI tool ChatGPT. In this course, learners will become a power user in 30 minutes by learning the 10 major types of commands they can give ChatGPT. Learners will also get two tips for better answers. The course will start with an introduction to the interface and then move on to the 10 command types. At the end of the course, learners will be able to use ChatGPT to its fullest potential. Additionally, learners will be provided with our top website tips/picks, including top website builders, top WordPress hosts, tools, and builders, a Squarespace review, and a Wix review. Learners are encouraged to follow us on Instagram for more tips and tricks.

[Applications]
After this course, users can apply the knowledge they have gained to create more powerful and efficient ChatGPT commands. They can also use the tips and picks provided to find the best website builders, WordPress hosts, tools, and builders. Additionally, users can follow Nate and Mike on Instagram for more tips and tricks.

[Career Paths]
1. Artificial Intelligence (AI) Engineer: AI engineers are responsible for developing and deploying AI-based solutions to solve complex problems. They must have a strong understanding of machine learning algorithms, data structures, and software engineering principles. AI engineers must also be able to work with large datasets and have experience with programming languages such as Python, Java, and C++. AI engineers are in high demand as the technology continues to evolve and become more widely used in various industries.

2. Machine Learning (ML) Engineer: ML engineers are responsible for developing and deploying ML-based solutions to solve complex problems. They must have a strong understanding of machine learning algorithms, data structures, and software engineering principles. ML engineers must also be able to work with large datasets and have experience with programming languages such as Python, Java, and C++. ML engineers are in high demand as the technology continues to evolve and become more widely used in various industries.

3. Natural Language Processing (NLP) Engineer: NLP engineers are responsible for developing and deploying NLP-based solutions to solve complex problems. They must have a strong understanding of natural language processing algorithms, data structures, and software engineering principles. NLP engineers must also be able to work with large datasets and have experience with programming languages such as Python, Java, and C++. NLP engineers are in high demand as the technology continues to evolve and become more widely used in various industries.

4. Data Scientist: Data scientists are responsible for analyzing large datasets to uncover patterns and insights. They must have a strong understanding of data analysis techniques, data structures, and software engineering principles. Data scientists must also be able to work with large datasets and have experience with programming languages such as Python, Java, and C++. Data scientists are in high demand as the technology continues to evolve and become more widely used in various industries.

[Education Paths]
Recommended Degree Paths:
1. Computer Science: Computer Science is a field of study that focuses on the design, development, and implementation of computer systems and software. It is a rapidly growing field, with new technologies and applications being developed every day. With a degree in Computer Science, you will be able to work in a variety of industries, from software development to artificial intelligence.

2. Artificial Intelligence: Artificial Intelligence (AI) is a field of study that focuses on the development of computer systems that can think and act like humans. AI is becoming increasingly important in many industries, from healthcare to finance. With a degree in AI, you will be able to work in a variety of roles, from developing algorithms to creating intelligent systems.

3. Data Science: Data Science is a field of study that focuses on the analysis and interpretation of large datasets. It is a rapidly growing field, with new technologies and applications being developed every day. With a degree in Data Science, you will be able to work in a variety of industries, from healthcare to finance.

4. Machine Learning: Machine Learning is a field of study that focuses on the development of computer systems that can learn from data. It is a rapidly growing field, with new technologies and applications being developed every day. With a degree in Machine Learning, you will be able to work in a variety of industries, from healthcare to finance.