Your Hands-On Guide to Building Intelligent Systems & Real-World AI Solutions
Sub Category
- IT Certifications
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Objectives
- Master the core Python concepts required for Data Science and Artificial Intelligence.
- Implement key machine learning algorithms on real-world data for practical insights.
- Build, train, and evaluate custom deep neural networks from scratch using PyTorch.
- Develop an end-to-end AI application by integrating Python, ML, and PyTorch skills.
Pre Requisites
- A computer with a stable internet connection. All lectures and materials are delivered online, and you will need to download software and datasets.
- Basic computer skills. You should be comfortable with tasks like downloading and installing software, creating folders, and navigating your operating system (Windows, macOS, or Linux).
- High school level mathematics. A basic understanding of algebra and concepts like variables and functions will be very helpful, but we will review key mathematical concepts as needed.
- No prior programming experience is required! The course is designed to take you from the fundamentals of Python all the way to advanced AI topics. A strong desire to learn is the most important prerequisite.
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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