im a final year student seeking internships, my main domain is web development and i have significantly good knowledge and projects in the field. but due to the growth in AI field i want to have some extra to have an edge during the placement process. I want to start learning AI engineering/ML etc. i have basic knowledge of RAG, LLM, ML, Numpy and python, but not hands on experience building something. My first priority is to be able to answer AI engineering questions in the interview and then is the ability to write such code. i personally thought of undertanding the concepts and most asked questions first and then start learning from scratch. What plan should i follow and how to approach this in fasttrack method specifically for interviews? submitted by /u/ProofEmotion9724
Originally posted by u/ProofEmotion9724 on r/ArtificialInteligence