diff --git a/src/data/roadmaps/ai-engineer/content/introduction@_hYN0gEi9BL24nptEtXWU.md b/src/data/roadmaps/ai-engineer/content/introduction@_hYN0gEi9BL24nptEtXWU.md index b2d0b3880..361f0ff22 100644 --- a/src/data/roadmaps/ai-engineer/content/introduction@_hYN0gEi9BL24nptEtXWU.md +++ b/src/data/roadmaps/ai-engineer/content/introduction@_hYN0gEi9BL24nptEtXWU.md @@ -1,3 +1,7 @@ # Introduction -AI Engineering is the process of designing and implementing AI systems using pre-trained models and existing AI tools to solve practical problems. AI Engineers focus on applying AI in real-world scenarios, improving user experiences, and automating tasks, without developing new models from scratch. They work to ensure AI systems are efficient, scalable, and can be seamlessly integrated into business applications, distinguishing their role from AI Researchers and ML Engineers, who concentrate more on creating new models or advancing AI theory. \ No newline at end of file +AI Engineering is the process of designing and implementing AI systems using pre-trained models and existing AI tools to solve practical problems. AI Engineers focus on applying AI in real-world scenarios, improving user experiences, and automating tasks, without developing new models from scratch. They work to ensure AI systems are efficient, scalable, and can be seamlessly integrated into business applications, distinguishing their role from AI Researchers and ML Engineers, who concentrate more on creating new models or advancing AI theory. + +Learn more from the following resources: + +- [@video@AI vs Machine Learning](https://www.youtube.com/watch?v=4RixMPF4xis)