Title: What should I learn to get ahead in AI automation? Should I learn Python? Hey everyone, I’m trying to figure out what skills I should focus on if my goal is to actually make money with AI and stay ahead of the competition. I’m not trying to build or train my own AI models from scratch. I’m more interested in using existing AI models and tools to build practical things like: AI agents automation systems business workflows internal tools frameworks AI-powered services for companies Right now, I’m trying to avoid wasting time learning things that sound impressive but don’t actually help me build valuable systems or create income. So my questions are: What are the most important skills to learn if I want to build useful AI systems with existing models? Should I learn Python, and if yes, how deep should I go? What tools/software should I focus on? For example n8n, APIs, Supabase, LangChain, etc. What should I avoid learning for now? What would you focus on if you were starting today but wanted to be ahead of the average “AI automation” person? My current thinking is that the valuable skills are probably around APIs, automation, databases, structured outputs, RAG, agents, scraping, and business process automation, but I’m not sure what order to learn them in. I’d appreciate honest advice from people who are actually building with AI or working in the field. (English is not my native language, so i used AI to correct mistakes) submitted by /u/Substantial-Gur-5558
Originally posted by u/Substantial-Gur-5558 on r/ArtificialInteligence
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