如何用 8 周搭建一个企业级Multi-Agent Al 系统｜澳洲IT

这场名为“如何用 8 周搭建一个企业级Multi-Agent Al 系统”的公开课，旨在帮助 Fullstack Developer 顺利完成从“会用 AI 工具”到“会造 AI 系统”的华丽转型。课程通过剖析一个真实的企业级多 Agent AI 系统开发过程，全面解析五大关键技术模块：LangGraph、RAG、MCP、KV Cache 与 Agent Orchestration。这不仅是一场技术分享，更是一堂职业升级的实战课。 在课程中，你将深入理解如何将 Agentic System 落地为具备工程化能力的完整系统，明确企业级 AI 项目的战略目标与实现路径。同时，课程赋予参与者将实战经验转化为简历亮点的能力，让你在 AI Engineer 求职之路上更具竞争力。 Jason 老师——来自 Future Secure AI 的 Engineering Lead-GenAI——凭借其在智能架构与全栈开发领域的丰富实战经验，将为你呈现从技术技术原理到项目实践的完整路径。通过他的教学，你不仅能系统掌握多 Agent 架构中的核心技术，还能逐步提升系统设计与工程执行的实战水平。 无论你是希望转向 AI 工程师岗位的开发者，还是希望通过系统化训练提升项目实战能力的人士，这堂公开课都提供了清晰的成长路径和实用的职业工具。通过课程内容，你将能够理解 Agentic AI 系统的架构设计，掌握五大核心模块，并具备将项目经验落地为求职优势的能力。 The open workshop titled **“Enterprise-Level Agentic AI System Practical Reveal”** is designed to empower Fullstack Developers in making the leap from being tool users to becoming system builders in the AI domain. Through a deep dive into the development process of a real-world enterprise multi-agent AI system, the course thoroughly breaks down five pivotal technical components: LangGraph, RAG, MCP, KV Cache, and Agent Orchestration. This is not merely a tech session—it is a career-accelerating, hands-on engineering workshop. Participants will gain insight into how to transform an abstract Agentic System concept into an engineering-ready, enterprise-level AI infrastructure. The course clarifies the strategic goals and engineering pathways behind building such systems and equips attendees with the ability to turn their hands-on experience into compelling resume assets, enhancing their competitiveness for AI Engineer roles. Led by Jason, Engineering Lead for GenAI at Future Secure AI, this session offers a unique blend of theoretical essentials and real-world AI architecture development. Jason brings extensive expertise in building AI systems using LangGraph, LangChain, MCP, and RAG methodology. His teaching approach emphasizes translating foundational LLM technologies into tangible, deliverable systems. This workshop is ideal for developers aiming to make the transition into AI engineering, as well as anyone looking to elevate their project-based technical proficiency through structured, industry-aligned training. By participating, you will gain a comprehensive understanding of enterprise Agentic AI system design, mastery over five core modules, and the ability to present real project experience as a powerful asset in job applications.