Should I Learn Backend Skills Alongside Python for a Future in AI?

Definitely focus on learning linear algebra, as it's crucial for AI. Also, remember that programming isn't just about the languages you learn. It's more about the concepts and how they apply to solving problems.

If your job is software-related, prioritize what you need for that position first. Any programming experience helps regardless of the language. Python and backend skills can complement each other, allowing you to build robust applications. If you're serious about AI/ML, consider whether a full degree is necessary or if project-based learning would suffice.

I'd suggest starting with Python and machine learning since you're interested in AI/ML. However, think about learning adjacent skills that excite you and could enhance your projects. The goal is to build and apply your knowledge, so focus on real-world applications.

Congrats on your new job! Instead of seeing it as backend vs. ML, think about learning through real projects. Focus on building complete applications that integrate models into systems. Doing this will naturally develop your backend skills while reinforcing your ML knowledge.

Learning how to use libraries in Python for AI is an excellent start, but don't ignore the bigger picture. Understanding system architecture is crucial. Backend skills can be beneficial, and even exploring tools like Kubernetes can enhance your understanding of application development.