AI Engineer Roadmap - DEV Community
With GenAI approaching at a rapid rate and everyone trying to find the most optimal ways to implement AI into their products and workflows, there has never been a better time to learn AI Engineering. 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.
An AI Engineer uses pre-trained models and existing AI tools to improve user experiences. They focus on applying AI in practical ways, without building models from scratch. This is different from AI Researchers and ML Engineers, who focus more on creating new models or developing AI theory.
List of Popular AI Engineering Topics
The following is a list of popular topics related to AI Engineering. For a more in-depth and interactive roadmap, visit the official AI Engineering roadmap.
At roadmap.sh, we have the comprehensive AI Engineering roadmap as well as other resources that can help you on your journey!
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