SKU/Artículo: AMZ-B0FF9R7TQQ

Building MCP Agents with Python: Design Context-Aware AI Systems and Structured Multi-Agent Workflows Using LangChain, Pydantic, and Modern LLM Tooling

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0.98 kg

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Amazon

Sobre este producto

Intermediate Python developers seeking to level up into serious AI systems
LLM engineers who want to move beyond hacky prompt chains to structured agent design
AI architects building SaaS products, assistants, or multi-agent services
LangChain users looking for a complete, modern codebase with best practices baked in
Your own MCP-compliant agent framework
Multiple context-rich role agents with task memory and tool access
A full-stack report generation agent pipeline
A multi-agent business assistant with command routing, scheduling, and file summarization
Deployable, scalable AI microservices using FastAPI and Docker

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Building MCP Agents with Python: Design Context-Aware AI Systems and Structured Multi-Agent Workflows Using LangChain, Pydantic, and Modern LLM Tooling

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Building MCP Agents with Python: Design Context-Aware AI Systems and Structured Multi-Agent Workflows Using LangChain, Pydantic, and Modern LLM Tooling

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