LangChainAI has launched LangChain Academy, featuring a new course titled 'Introduction to LangGraph.' This course aims to teach users how to build reliable AI agents using LangGraph's graph-based workflows. The course covers various topics, including memory integration and human-in-the-loop functionalities. Additionally, LangChainAI is collaborating with CopilotKit to host a webinar on building Human-in-the-Loop Agent systems, including a Perplexity clone and research agents using LangGraph. The webinar will also cover connecting these agents to full-stack applications and streaming agent states via CoAgents. The course also includes implementing RAG-based, multilingual chat applications. LangGraph.js and Llama 3.1 8B are utilized in these processes.
LangGraph just got a whole lot easier to learn! @LangChainAI and @RLanceMartin have produced the definitive LangGraph 🦜🕸️ Course - and it just dropped. This course goes from Intro to Sub-Graphs and Parallelization. 🚀 https://t.co/hrI6fuDJDj
LangChain Academy is live! Our first course — Introduction to LangGraph — teaches you the in-and-outs of building a reliable AI agent. In this course, you’ll learn how to: 🛠️ Build agents with LangGraph's graph-based workflows 🔄 Use memory + human-in-the-loop for smarter,… https://t.co/N7ihVOuqK7
Learn how to implement a RAG-based, multilingual chat application with LangGraph, including detailed agent functions, graph state management, and AI assistant deployment. https://t.co/nIBs14qcwg #LLM #LangGraph #RAG