Master Basics of Artificial Intelligence course

Artificial Intelligence and Deep learning are two closely related fields that have revolutionized technology, driving advancements in everything from healthcare to finance. Both are subfields of computer science that focus on enabling machines to perform tasks that typically require human intelligence, but they operate at different levels of complexity and abstraction.

Deep learning is a specialized subfield of machine learning that is inspired by the structure and function of the human brain. It utilizes neural networks with many layers—hence the term “deep”—to model and understand complex patterns in data. Deep learning algorithms are particularly powerful in handling large volumes of unstructured data, such as images, audio, and text, making them ideal for tasks like image recognition, natural language processing, and autonomous driving.

Artificial Intelligence is the broader field that encompasses any technique or method that allows computers to mimic human intelligence. This includes a wide range of approaches, from rule-based systems to advanced machine learning algorithms. AI aims to create systems that can reason, learn, perceive, and interact with the environment in ways that are considered intelligent. Classic examples of AI include expert systems, which use predefined rules to make decisions, and natural language processing, which allows machines to understand and generate human language.

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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!