本课程系统讲解利用Claude Code、LangGraph、Neo4j知识图谱和混合RAG构建生产级企业AI应用，通过规范驱动开发实现全自动化软件工程流水线，有效根除大模型幻觉并支持复杂业务流编排。
原始标题：Claude Code for Agentic AI Engineering
该项目是一套彻底告别“玩具级聊天机器人”的生产级企业 AI 解决方案，核心通过 Claude Code 实施规范驱动开发（SDD），实现全自动化、无手写代码的软件工程流水线；其架构融合了强大的数据 ETL 管道，将 PDF/CSV 等复杂企业数据转化为由向量数据库与 Neo4j 知识图谱 组成的双引擎混合检索系统（Graph RAG），有效根除大模型幻觉并支持跨文档的深层关系推理；最终利用 LangGraph 构建多智能体（Multi-Agent）状态机，协同调度路由、检索与推理等专职 AI 角色，配合 Claude 与 OpenAI 双模型混合部署，实现具备高扩展性、严密逻辑和商业落地价值的复杂业务流自动化编排。
Published 7/2026
Created by Aritra Basak
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 45 Lectures ( 6h 46m ) | Size: 4.3 GB
Build Enterprise AI with Claude Code, LangGraph, Hybrid RAG, Neo4j Knowledge Graph and Multi Agent AI
What you’ll learn
⚡ Build a production ready Enterprise AI application using Claude Code with Spec Driven Development and real-world software engineering practices.
⚡ Design and implement Hybrid RAG pipelines using Vector Databases, document chunking, embeddings, and intelligent retrieval workflows.
⚡ Build and query Neo4j Knowledge Graphs, design ontologies, and implement Graph RAG for enterprise AI applications.
⚡ Develop Multi Agent AI workflows using LangGraph to orchestrate vector search, Knowledge Graph retrieval, and AI reasoning.
⚡ Implement document ETL pipelines to process PDF and CSV files for Vector Databases and Knowledge Graph ingestion.
⚡ Master Claude Code fundamentals, including Slash Commands, CLAUDE md file, Skills, and production ready implementation workflows.
⚡ Apply enterprise AI architecture, system design, testing, and debugging techniques to build scalable Agentic AI applications.
Requirements
❗ An active Claude Code subscription is required, as we’ll use Claude Code throughout the course for AI assisted software development.
❗ Access to OpenAI models (API or subscription) is recommended since we’ll use both Claude and OpenAI models in different parts of the project.
❗ A good understanding of Python programming is required. This course focuses on building enterprise AI applications rather than teaching Python fundamentals.
❗ Basic knowledge of AI, Large Language Models (LLMs), and Retrieval Augmented Generation (RAG) is recommended to get the most out of the course.
❗ No manual coding is required. We won’t write application code by hand, instead, you’ll learn how to build production ready software using Claude Code and Spec Driven Development.
❗ A computer capable of running Python applications and installing the required development tools.
Description
Stop building toy AI chatbots. Learn how to build a production ready Enterprise AI application using Claude Code with real world software engineering practices.
In this course, you’ll build a complete IT Service & Consulting Revenue Intelligence Platform from scratch. Instead of relying on vibe coding, you’ll learn how professional engineering teams use spec-driven development, system architecture, and Claude Code to develop scalable AI applications.
This course is entirely project based. Every concept is taught while implementing a real enterprise application that combines Hybrid RAG, Knowledge Graphs, Multi Agent AI, LangGraph, Neo4j, Vector Databases, and Document ETL pipelines.
What You’ll Build
You’ll develop a complete Enterprise AI application capable of
✨ Uploading enterprise documents
✨ Processing PDF and CSV files
✨ Building a Hybrid RAG pipeline
✨ Creating a Neo4j Knowledge Graph
✨ Designing an ontology for Graph RAG
✨ Implementing Multi Agent workflows using LangGraph
✨ Retrieving information from both Vector Databases and Knowledge Graphs
✨ Building a secure authentication system with JWT
✨ Creating a modern chatbot interface
✨ Developing production ready APIs
✨ Testing the complete application from end to end
Why This Course Is Different
Most Claude Code courses focus on generating code snippets or building simple chatbots.
This course teaches you how to engineer a real AI product.
You’ll learn
✨ Enterprise software architecture
✨ Spec driven development
✨ AI assisted software engineering
✨ Production development workflows
✨ Scalable system design
✨ Building maintainable AI applications
Every feature is designed before implementation, just like in real software teams.
Who this course is for
⭐ Software Engineers who want to build production ready Enterprise AI applications using Claude Code.
⭐ AI Engineers looking to master Agentic AI, Hybrid RAG, Knowledge Graphs, and Multi Agent workflows.
⭐ Python Developers who want to apply AI to real world enterprise projects instead of building simple chatbot demos.
⭐ Developers already using Claude Code who want to learn enterprise development workflows, Spec Driven Development, and AI assisted software engineering.
⭐ Solution Architects and Technical Leads who want to understand how to design scalable AI systems using LangGraph, Neo4j, and Hybrid RAG.
⭐ Anyone with Python and basic AI knowledge who wants to learn how real enterprise AI applications are designed, built, and tested from scratch.
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