LangChain Fundamentals 2026: Costruire App LLM Production

«LangChain Fundamentals 2026: Costruire App LLM Production» è un corso online di Agenti AI e framework di livello principiante, tenuto da InsightLearn Curated AI su InsightLearn. Il percorso comprende 10 lezioni organizzate in 3 sezioni, per una durata complessiva di 5h 0m. LangChain v0.3+: LCEL, chains, retrievers, output parsers, tools. Da hello world a chatbot RAG-ready.

Descrizione del corso

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LangChain v0.3+: LCEL, chains, retrievers, output parsers, tools. Da hello world a chatbot RAG-ready.

Cosa imparerai

  • Curated from public resources. LangChain v0.3+: LCEL, chains, retrievers, output parsers, tools. Da hello world a chatbot RAG-ready.

Programma del corso

  1. Install + primo chain Python (10 min)
  2. LCEL e pipe operator (10 min)
  3. RunnableParallel, RunnableLambda (10 min)
  4. PromptTemplate e ChatPromptTemplate (10 min)
  5. Output Parsers: str, JSON (10 min)
  6. Pydantic parser strutturato (10 min)
  7. Retriever interface base (10 min)
  8. Tool binding multi-provider (10 min)
  9. Chat history e memoria (10 min)
  10. Streaming response (10 min)

Dalle lezioni

Estratto della trascrizione di «Install + primo chain Python»

Let's see how we can install python 3.1 2.1 in Visual Studio Code and how we can run python projects. So first go to this URL. Now I'll have all the links in the description of wherever we go in this video tutorial so check the link in the description. Now hover over downloads and as you can see the latest version is 3.1 2.1 and click on this and now as you can see Python is downloading and the download is complete. Now you can Open this file to start installation of Python 3.12 and after the installation, we will set it up with Visual Studio Code. So now our installation wizard has started. Make sure you add Python.exe…

Estratto della trascrizione di «LCEL e pipe operator»

In this chapter, we're going to be taking a look at the line chains expression language. We'll be looking at the runnables, the serializable and parallel of those, the runnable pass through, and essentially how we use L cell in its full capacity. Now, to do that well, what I'm going to do is actually start by looking at the traditional approach to building chains in line chain. So to do that, we're going to go over to... do the L cell chapter and open that curl up. Okay, so just come down, we'll do the prerequisites. As before, nothing major in here. The one thing that is new is doc array, as to because later on, as you'll see,…

Estratto della trascrizione di «RunnableParallel, RunnableLambda»

See here welcome to my youtube channel. In this video we will be discussing on lang chain runnables. So before going to runnables we will have a quick overview what is lang chain. I believe that everybody have an understanding about the lang chain but still it is a framework for developing applications powered by large language models. So its key components include LLMs, PROM, tools, memory, agents, documents, orders and the retrievers. The LLM are for generating the text based output and prompt is a template that structure input text to the LLM and tools which will help the LLM model to interact with the outside world through APIs or databases and memory which is for managing the conversation…

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Domande frequenti

Quanto dura il corso LangChain Fundamentals 2026: Costruire App LLM Production?

Il corso dura 5h 0m in totale, con 10 lezioni suddivise in 3 sezioni, da seguire online al proprio ritmo.

Serve esperienza pregressa?

Il corso è di livello principiante e non indica requisiti specifici di ingresso.

Il corso rilascia un certificato?

Sì: al completamento del corso ricevi un certificato di completamento verificabile online.