|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-agentic-ai-with-langgraph-streamlit-and-openai/
课程评论：没有评论
课程名称：掌握 Agentic AI 与 LangGraph、Streamlit 和 OpenAI 课程概述： 在当前的技术潮流中，Agentic AI 正逐渐成为比生成性 AI 更具颠覆性的技术。各类组织正急于转变其商业模式，以实施 Agentic AI 应用，释放商业价值，保持竞争优势。随着组织流程的转型，能够利用 Agentic AI 开发新工作流程，这些流程将极大地提升其收入来源。Agentic AI 对各个行业的影响深远，因此，作为技术和解决方案提供者，我们必须紧跟颠覆性现代技术的步伐，以便为客户提供相关指导，并帮助他们在生成性 AI 和 Agentic AI 的采纳过程中稳步前行。 课程将介绍使用 LangGraph、LangChain、Streamlit 和 OpenAI 等技术的理想组合，以可靠、安全且灵活的方式在产品开发环境中实现大多数 Agentic AI 商务工作流程。课程强调以下功能的重要性，如数据流、LLM 工具调用、LLM 结构化输出、短期上下文窗口、长期有状态知识图谱、时间旅行等，这些都是构建高扩展性、快速、可靠和可信赖的 Agentic 应用所必需的。在将 Agentic AI 融入关键任务工作流时，将人类纳入环路也是至关重要的，以保护数据层。 LangGraph 的中断、事件系统和状态保留机制为实现可靠的人类在环路的实施奠定了基础。 主要技术： - Agentic AI - 生成性 AI - LangGraph - LangChain - Streamlit - Python - OpenAI - VsCode 通过本课程，学习者将掌握如何利用上述技术构建并优化 Agentic AI 解决方案，为其组织带来显著的商业价值。
Agentic AI has become more disruptive than Generative AI these days.Organisations are rushing to transform their business models to implement agentic ai applications to unlock business value to stay ahead of the curve. As organisations transform their readily available workflows to leverage agentic AI they will come across new business workflows that might exponentially add value to their revenue streams. So agentic ai has already impacted profoundly across sectors and verticles. As technology and solution providers we have to stay ahead of the curve on disruptive modern technologies such as in order to be relavant to our customers and guide them in the Gen Ai and Agentic AI adoption journey.LangGraph, LangChain, Streamlit, OpenAI, Python is an ideal blend of technologies to implement most of the agentic ai business work flows robust, reliable and secure manner in highly agile product and development environments.Features such as data streaming, LLM tool calling, LLM structured output, short term context windows, long term stateful knowledge graphs, Time Travel etc are invaluable features to implement highly scalable, fast, robust, reliable and trustworthy agentic applications. Human in the loop is vital when agentic ai is infused into mission critical workflows to safeguard data layer.LangGraph interrupts, event systems and state preservation mechanism foundationally enable LangGraph to be equipped with reliable human in the loop implementations.Primary technologies used in this course are as below.Agentic AIGenerative AILangGraphLangChainStreamlitPythonOpenAIVsCode
