Master Artificial Intelligence: Neural Networks, Machine Learning, Generative AI, and Ethical AI Implementation.
Sub Category
- Other IT & Software
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Objectives
- Explain the fundamental principles of Artificial Intelligence and its historical evolution.
- Differentiate between Artificial Narrow Intelligence, General Intelligence, and Superintelligence.
- Identify the key components and workflows of Machine Learning and Deep Learning.
- Understand the architecture and function of Neural Networks and their practical applications.
- Describe the mechanics of Generative AI and Large Language Models like GPT.
Pre Requisites
- No prior programming or technical background required.
- A basic understanding of how to use a computer and the internet.
- A curiosity about technology and its impact on the world.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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