Atrás

SKU/Artículo: AMZ-B0G1YBMQTH

LLMS IN PYTHON: 50+ EXPERT-LEVEL PYTHON PROJECTS FOR MASTERING LARGE LANGUAGE MODELS, LANGCHAIN, AND LANGGRAPH ARCHITECTURES

Disponibilidad:
En stock

Peso con empaque:
0.26 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Sobre este producto

Master the architecture and inner workings of Large Language Models
Build and train LLMs from scratch using modern Python toolchains
Fine-tune and optimize models with LoRA, PEFT, and transfer-learning methods
Create advanced LangChain pipelines for multi-step reasoning and agentic AI
Implement LangGraph for context-aware, structured decision workflows
Design Retrieval-Augmented Generation (RAG) systems that ground LLMs in data
Deploy, scale, and monitor production-grade LLMs in cloud environments
Explore 50+ hands-on projects that reinforce every concept through real-world use cases
Expert-Level Projects: Each project builds on the last, guiding you from fundamental model construction to multi-agent AI design.
Cutting-Edge Frameworks: Covers LangChain, LangGraph, RAG, and modern agentic patterns.
Up-to-Date for 2026: Reflects the latest breakthroughs in LLM architecture, fine-tuning, and open-source tooling.
Engineer’s Perspective: Written by Finn Cordex—an author known for bridging research theory with hands-on, production-grade AI engineering.

AR$39.267

31% OFF

AR$27.078

AR$39.267

31% OFF

AR$27.078

Llega en 8 a 12 días hábiles

con envío

Tienes garantía de entrega

Medios de pago

Cantidad

Este producto viaja de USA

a tus manos en

Medios de pago

LLMS IN PYTHON: 50+ EXPERT-LEVEL PYTHON PROJECTS FOR MASTERING LARGE LANGUAGE MODELS, LANGCHAIN, AND LANGGRAPH ARCHITECTURES

Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems

Micro-Minds for Multi-Agent LLM Orchestration: Building Multi-Agent LLM Systems with Abhidhamma-Inspired Cognitive Decomposition

End-to-End AI Evaluation: Building Effective Metrics, Pipelines, and Monitoring for LLM Systems

LLMS IN PYTHON: 50+ EXPERT-LEVEL PYTHON PROJECTS FOR MASTERING LARGE LANGUAGE MODELS, LANGCHAIN, AND LANGGRAPH ARCHITECTURES

Agentic AI Security: Architecting Resilient Autonomous LLM Systems for Enterprise Trust: A Definitive Guide to Secure Design, Threat Mitigation, and ... Deploying Intelligent Systems with LangGraph)

Agentic AI Engineering with LangChain & LangGraph: Design, Build, Test, and Deploy Production-Ready LLM Systems — 2026 and Beyond

Build a Large Language Model (From Scratch)

LLMs in Production: From language models to successful products

Data Analysis with LLMs: Text, tables, images and sound (In Action)

The AI Engineering Bible for Developers: Essential Programming Languages, Machine Learning, LLMs, Prompts & Agentic AI. Future Proof Your Career In the Artificial Intelligence Age in 7 Days

The Practical LLM Builder Handbook: How to Build, Train, and Deploy Your Own Large Language Models — A Step-by-Step Guide from Zero to Production

DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM

Graphic Events: A Realist Account of Graphic Design

Sustain Yourself Oracle: A Handbook and Cards for Using Earth’s Wisdom for Personal Transformation

Jay North_Beyond Dennis the Menace: The Life, Legacy, and Untold Struggles From Child Star to Advocate and Survivor of Hollywood’s Golden Age

Información útil

Centro de ayuda

Todo en un solo lugar

Comprá con tranquilidad

LLMS IN PYTHON: 50+ EXPERT-LEVEL PYTHON PROJECTS FOR MASTERING LARGE LANGUAGE MODELS, LANGCHAIN, AND LANGGRAPH ARCHITECTURES

Productos Relacionados

Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems

Micro-Minds for Multi-Agent LLM Orchestration: Building Multi-Agent LLM Systems with Abhidhamma-Inspired Cognitive Decomposition

End-to-End AI Evaluation: Building Effective Metrics, Pipelines, and Monitoring for LLM Systems

LLMS IN PYTHON: 50+ EXPERT-LEVEL PYTHON PROJECTS FOR MASTERING LARGE LANGUAGE MODELS, LANGCHAIN, AND LANGGRAPH ARCHITECTURES

Agentic AI Security: Architecting Resilient Autonomous LLM Systems for Enterprise Trust: A Definitive Guide to Secure Design, Threat Mitigation, and ... Deploying Intelligent Systems with LangGraph)

Agentic AI Engineering with LangChain & LangGraph: Design, Build, Test, and Deploy Production-Ready LLM Systems — 2026 and Beyond

Build a Large Language Model (From Scratch)

LLMs in Production: From language models to successful products

Data Analysis with LLMs: Text, tables, images and sound (In Action)

The AI Engineering Bible for Developers: Essential Programming Languages, Machine Learning, LLMs, Prompts & Agentic AI. Future Proof Your Career In the Artificial Intelligence Age in 7 Days

The Practical LLM Builder Handbook: How to Build, Train, and Deploy Your Own Large Language Models — A Step-by-Step Guide from Zero to Production

DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM

Otros Productos

Graphic Events: A Realist Account of Graphic Design

Sustain Yourself Oracle: A Handbook and Cards for Using Earth’s Wisdom for Personal Transformation

Jay North_Beyond Dennis the Menace: The Life, Legacy, and Untold Struggles From Child Star to Advocate and Survivor of Hollywood’s Golden Age

Compra protegida

¿Cómo comprar?

Condiciones según método de envío

Correo privado:

Correo Argentino:

¡Aseguramos la entrega de tu orden!

¿Cómo solicitar una devolución?

Tarjetas de Crédito y Débito

Pagos a través de PayPal

Pagos a través de MODO

¡Elegí entre pagar en pesos o en dólares!

¿Cómo comprar?

Hacemos todo por ti

Tarjetas de Crédito y Débito

Pagos a través de PayPal

Pagos a través de MODO y Mercado Pago

Tienes garantía de entrega

¡Suscribite y hacé que todo llegue con ofertas!