A beginner wants a clear roadmap for building AI agents
The goal is to learn practical and agentic AI, not the traditional or data science path. Tools such as ChatGPT, Claude, and Gemini are already used often, but the difference between and agentic AI is still unclear. The learner knows only basic Python, is comfortable with low-code tools, and wants to avoid heavy software engineering or advanced algorithm work.
The desired learning path includes LLM basics, , APIs, RAG, when fine-tuning makes sense, AI agents, MCP, memory, evaluation, , , and production concepts. The main need is one free, structured roadmap or course that teaches these topics in the right order.
Key points
- The focus is practical and AI agents, not or data science.
- The learner has basic Python skills and prefers low-code or light coding.
- The requested roadmap includes RAG, MCP, memory, evaluation, , and production concepts.
- The learner wants one free, structured course or roadmap rather than scattered resources.