Artículo: AMZ-B0FSF4CN7T

Production-Ready LLMs: Build, Deploy and Scale Real AI Systems with Python, RAG, and Agents

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Sin Stock
Peso con empaque
0.20 kg
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No
Condición
Nuevo
Producto de
Amazon

Sobre este producto
  • Build RAG systems in Python that outperform generic chatbot architectures.
  • Deploy scalable LLM systems using best practices in cloud, GPU scheduling, and routing.
  • Implement agentic AI engineering patterns that work in real production environments.
  • Integrate vector search, embeddings, and RAG architecture design for enterprise use.
  • Apply FinOps and cost optimization strategies—including quantization, batching, and caching.
  • Build and deploy agent systems using modern stacks like vLLM, LangChain, and LangGraph.
  • Design fault-tolerant pipelines for LLM infrastructure and deployment at scale.
  • Master real-world workflows for model serving, evaluation, and monitoring.

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