From the course: Scalable Data Storage and Processing for AI Workloads

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Prerequisites

Prerequisites

From the course: Scalable Data Storage and Processing for AI Workloads

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Prerequisites

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- [Instructor] Before we dive into the actual course contents, here is a quick look at the prerequisites that you need to have to make the most of your learning. Now, I assume that you have some basic familiarity and understanding of AI and ML solutions. This is certainly not a beginner course in AI, however, it's not necessary that you have deep experience in building and training ML models. If you have a general understanding, but no hands-on experience, that should be sufficient, as well. I also expect that you have some basic understanding of how data storage solutions work, whether on premises or on cloud platforms and that brings me to another prerequisite. I expect that you're familiar with the big cloud platforms. You may not have hands-on experience with all three, but some familiarity with at least one will help and then, there is a demo in Python that I have here in this course and I expect that you have basic Python knowledge.

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