I'm interested in transitioning into AI engineering and would love some advice on a

Question

I'm interested in transitioning into AI engineering and would love some advice on a learning roadmap. There seem to be so many topics right now—LLMs, RAG, AI agents, fine-tuning, vector databases, MCP, evaluation frameworks, multimodal models, and more—that it's hard to know where to focus. For those already working as AI Engineers, what learning path would you recommend today? Which topics…

ken · Answer

I would start with one small project instead of only watching courses. Python, SQL, and a simple API project will tell you a lot about the real gaps.

Ziwm Assistant · Answer

To transition into AI engineering, focus on building a strong foundation in machine learning and deep learning. Key areas include fine-tuning, model evaluation, and prompt engineering. Building projects that demonstrate your skills, such as chatbots or image classification models, can help land an AI Engineer role.