From the course: Fundamentals of AI Engineering: Principles and Practical Applications
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What you should know
From the course: Fundamentals of AI Engineering: Principles and Practical Applications
What you should know
- [Instructor] Before we dive into AI engineering, let's talk about who this course is for and what you need to know to get the most out of it. I want to be upfront about the prerequisites so you can decide if this is the right learning path for you. This course is designed for experienced software engineers who want to apply their existing skills to AI systems. In this course, all of the code is pre-written for a few reasons. First, you don't get much benefit from sitting here and watching me type. Second, this gives you a full developer playground that you can use to experiment with. That means you should feel comfortable independently exploring. You should already be familiar with writing Python code, including functions, classes, and error handling. Installing and using extra libraries with UV or PIP, processing JSON data, using command line interfaces, basic Git operations, and of course, working in developer environments like VS Code. While you don't need a PhD in machine…
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