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AI Agent Engineering

🚀 Build production-ready AI agents from scratch using RAG, MCP, and multi-agent systems. This is a hands-on course where you’ll build real applications—not just learn theory—including an AI agent that chats with your data (PDFs), tool-using agents with APIs, local LLM integrations using Ollama, and MCP-based systems (STDIO + HTTP). You’ll also implement advanced multi-agent workflows. Tech stack includes React, Node.js, LangChain, LangGraph, Pinecone, Ollama, and OpenAI. Designed for students, fresh graduates, and developers entering AI. Includes full source code, reusable templates, and downloadable resources to help you start building real AI systems immediately.

Course•By Tariq Elouzeh

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AI Agent Engineering Handbook

A 60-page technical reference covering the full AI agent engineering stack — from RAG and MCP to LangGraph, Agent2Agent, and real-time streaming. Production patterns, architecture diagrams, and code examples you'll return to again and again.

Digital file•1 file•By Tariq Elouzeh

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