If you want to get into AI and LLMs, I would suggest starting with the basics, and then going to the more advanced stuff. Python, statistics, linear algebra, basics of machine learning etc. might not seem exciting to start with, but they make everything else much easier to understand later on. From there, you can move into deep learning, NLP, transformer models, prompt engineering, RAG systems, and model fine-tuning. A lot of people try to skip straight to LLMs and end up filling knowledge gaps later, which can slow progress. That’s why a structured online AI training program can be so valuable. H2K Infosys offers a learning path that takes you from the fundamentals to hands-on work with modern AI and LLM technologies, helping you build practical skills while understanding how the underlying concepts actually work.