If you want to be an AI Engineer in 2026, the first step begins with the basics - python, statistics, basic math and how machine learning works. Then it goes into deep learning, generative AI, large language models (LLMs), prompt engineering, AI agents, cloud platforms, and MLOps. One thing most people learn is that just knowing the concepts is not enough, employers want to see that you can actually build, test and deploy AI solutions in real-world environments. That’s why those hands-on projects are so impactful. If you are the kind of person who likes a structured learning process, then an AI Engineer course from H2K Infosys can be a good option to learn these skills, work on relevant projects in the industry, and get experience with the tools and technologies that companies are actually using today.