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Complete Roadmap To Become an AI Engineer in 2025 (That I Would Follow)
Get a high paying job quickly.
What is an AI Engineer?
An AI Engineer puts theory into practice by building real-world products out of AI models. This can mean creating your own models too. But, here you need some software development expertise too.
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These are the skills you need to become an AI Engineer:
Programming
The one skill that is going to play the biggest role in your success as an AI Engineer. Go with Python programming language for sure. Don’t waste your time thinking about any other language.
It is the most in demand programming language in AI and most used as well.
Machine learning
Machine learning teaches you the core of AI. What you learn in machine learning will be useful in whatever advanced topics you learn going forward.
It’s like the alphabets of english language. Without it, you can’t really speak English.
With that said, it doesn’t mean you will be heavily using machine learning techniques in your job. Getting a good enough knowledge of machine learning will be good.
Deep Learning
Pay more attention towards this subject. This is where you learn about the Transformers which are being used in LLMs like OpenAI. This is used more heavily in real world as compared to machine learning. As I said, machine learning is the core upon which deep learning is built. Deep learning is actually a subset of Machine Learning.
Backend Development
Backend development is the core of what you will be doing during your day to day job as an AI Engineer.
An AI Engineer’s goal is to create a software that works and solves business problems. Front end can is handled by the front end engineers and you don’t need to worry about that.
