Since I am a novice developer, my learning direction is relatively unclear. I hope to get a relatively complete and clear learning roadmap. I would be very grateful if you could provide a learning plan.
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This guide is specifically for Applied Agentic Engineering with a focus on Langchain ecosystem.
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Start by understanding the following core component: Agents - Docs by LangChain
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Agents
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Models
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Tools
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Messages
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Short-Term Memory
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Structured Output
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Get a Basic Idea of Middewares: Overview - Docs by LangChain
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Understand the Very Basic of Langgrah: Quickstart - Docs by LangChain
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Once you have a clear Idea about Langchain and how Langchain v1 components are built on top of Langgraph (understand how they are linked), start building some stuff:
- langgraph/examples at main · langchain-ai/langgraph · GitHub (You can take inspiration from these examples)
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Also, learn about Langsmith: Tracing quickstart - Docs by LangChain and how you can integrate it in your workflow for better observability
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Finally, to deploy your flow, I would recommend you learn:
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https://docs.langchain.com/oss/python/langgraph/local-server (If you want to deploy your Agentic Flow using Langgraph template)
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FASTAPI (Learn basics about FastAPI since that is the go-to framework for deploying most of ML based apps)
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There are also a number of great courses available in LangChain Academy that provide a guided curriculum for getting started and launching agents: All Products - LangChain Academy
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