Description
Hands-On Agentic AI Trading System using MCP & LangChain is a course on building a fully functional AI-based trading system using the principles of agentic AI, MCP, and LangChain, published by Udemy Online Academy. The course focuses on practical implementation and demonstrates how autonomous AI agents can analyze market data, make decisions, and execute trades efficiently. Participants learn to integrate multiple AI components, automate workflows, and use modern AI tools to create intelligent and adaptive trading strategies that work with minimal human intervention.
This course goes beyond theory. You will build a complete and comprehensive trading agent that can interpret natural language queries, retrieve real-time market data, calculate technical indicators like RSI and Bollinger Bands, execute multi-step workflows, and generate actionable trading insights – all while being fully visible and auditable. Finally, everything comes together in a small project, where you will combine the MCP server, LangChain client, LangGraph workflows, and LangSmith monitoring into a cohesive trading system. You will also learn the path forward – how to extend these ideas to multi-agent systems, production deployments, and emerging AI standards.
What you will learn in Hands-On Agentic AI Trading System using MCP & LangChain:
- Ingest and analyze real-time financial data using yfinance and combine it with LLM intelligence to build actionable trading and analytics tools.
- Build MCP clients and servers and integrate them with LangChain to create tool-based, reasoning-enabled AI workflows.
- Use LangGraph to design multi-step, stateful workflows and allow agents to coordinate tools, manage branches, and manage complex execution paths.
- Use LangSmith for monitoring, debugging, and tracing, and gain complete visibility into agent behavior, tool calls, and performance metrics.
- And…
Course specifications
Publisher: Udemy
Instructors: Kanishka Vatsa
Language: English
Level: Intermediate
Number of Lessons: 29
Duration: 5 hours and 9 minutes
Course topics
Hands-On Agentic AI Trading System using MCP & LangChain Prerequisites
Basic programming knowledge Familiarity with Python fundamentals (functions, classes, virtual environments). No advanced machine learning or AI experience required.
A working development environment Any OS is fine: macOS, Windows, or Linux. Python 3.10+ installed.
A willingness to learn modern AI tooling Curiosity to experiment with LangChain, LangGraph, LangSmith, MCP, and real financial data using yfinance.
Pictures
Hands-On Agentic AI Trading System using MCP & LangChain introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
3.3 GB
