UdemyAI Agents & Agentic AI

Hands-On Agentic AI Trading System using MCP & LangChain

التصنيف الكامل: IT & Software > IT Certifications > AI Agents & Agentic AI

Hands-On Agentic AI Trading System using MCP & LangChain

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Agentic AI is rapidly transforming how intelligent systems are built — moving beyond simple chatbots to autonomous agents that can reason, act, and interact with real-world systems. In this hands-on course, you’ll learn how to design, build, orchestrate, and monitor production-grade agentic AI trading systems using Model Context Protocol (MCP), LangChain, LangGraph, and LangSmith.This course goes beyond theory. You’ll build a complete end-to-end trading agent that can interpret natural language queries, fetch real-time market data, compute technical indicators like RSI and Bollinger Bands, execute multi-step workflows, and generate actionable trading insights — all while being fully observable and auditable.We start by laying a strong foundation in MCP and agentic LLM concepts, explaining how modern agents communicate with tools, APIs, and workflows in a standardized and cloud-agnostic way. You’ll then set up your development environment, configure LLM endpoints (including local models via Ollama), and connect real-time financial data sources.As the course progresses, you’ll design multiple real-world systems — including a trading analysis agent, an enterprise assistant, and an IoT monitoring system — to understand how MCP-powered architectures scale across domains. You’ll implement an MCP server with financial tools, orchestrate workflows using LangGraph, and integrate intelligent clients using LangChain agents with tool discovery and intent detection.A key focus of this course is observability and compliance. You’ll integrate LangSmith to trace agent reasoning, monitor tool usage, debug workflows, and ensure transparency — an essential requirement for regulated domains like finance.Finally, everything comes together in a mini project, where you’ll combine MCP server, LangChain client, LangG

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