SKU/Artículo: AMZ-B0G3Z6K7X3

Building Agentic AI with Local LLMs: The Hands-On Python Guide to Autonomous Agents Using Ollama, Llama 3, and LangGraph in VS Code

Format:

Kindle

Kindle

Paperback

Detalles del producto
Disponibilidad:
Fuera de stock
Peso con empaque:
0.36 kg
Devolución:
No
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • Building Agentic AI with Local LLMs: The Complete Python Guide to Autonomous Agents, Private Deployment, and Enterprise AI Without the Cloud Discover how to build production-grade autonomous AI agents entirely on your laptop—no GPU cluster, no cloud subscriptions, no data breaches. In Building Agentic AI with Local LLMs, Cole Merriweather delivers a hands-on blueprint for developers, data scientists, and AI engineers who want to harness the power of agentic AI while maintaining complete control over their infrastructure, data privacy, and costs. This comprehensive guide transforms you from an AI observer into an agentic AI architect using open-source technologies that actually work. What You'll Build: Autonomous agents that reason, plan, and act independently using Ollama and Llama 3 running entirely on local hardware. Multi-agent teams that collaborate to solve complex problems. Local retrieval-augmented generation (RAG) systems that ground agents in proprietary knowledge. Production-ready agentic systems with monitoring, error handling, and enterprise-grade reliability. Advanced reasoning patterns including ReAct, chain-of-thought, and self-reflection mechanisms. Why This Book: Most agentic AI resources assume cloud infrastructure and expensive GPU instances. This book takes the opposite approach: maximum capability, minimum infrastructure. Learn to leverage LangGraph for deterministic workflow design, implement tool calling and function execution, architect multi-agent communication patterns, manage memory and context effectively, deploy agents to production without cloud vendors, and eliminate data privacy concerns entirely. Complete Coverage of: Local LLM setup and optimization Ollama architecture and model management LangGraph state machines and workflow design Advanced prompt engineering for local models Tool integration and function calling Multi-agent orchestration and collaboration Local RAG pipeline implementation Memory systems and persistent state management Production deployment strategies Real-world case studies and working code For whom this book is essential: Python developers building AI systems who refuse to rent compute from cloud giants Organizations requiring data privacy and on-premises AI infrastructure Data scientists and AI engineers new to agentic AI systems and autonomous reasoning Technical leaders evaluating local-first AI architectures Anyone who wants to understand how autonomous agents actually work beneath the hype Every chapter includes working Python code, practical exercises, debugging strategies, and production patterns tested in real deployments. No theory without implementation. No cloud-only examples. No hand-waving about how this supposedly works. This is the complete 2025 step-by-step blueprint for building intelligent, autonomous agents that run on your machine, respect your data, and scale without vendor lock-in. Stop outsourcing your AI to cloud providers. Start building autonomous agents locally. Start here. KEY FEATURES & BENEFITS ✓ 15 expertly-crafted chapters progressing from fundamentals to production deployment ✓ Complete Python source code for every concept and pattern ✓ No GPU required – runs efficiently on standard laptops and local servers ✓ Data privacy guaranteed – all processing stays local, no cloud dependencies ✓ Multi-agent system architectures for complex problem-solving ✓ Production-ready patterns for monitoring, logging, and error handling ✓ Real-world case studies with full implementation walkthroughs ✓ Advanced reasoning techniques (ReAct, chain-of-thought, self-reflection) ✓ Local RAG systems that don't require external APIs ✓ Deployment strategies for edge computing and on-premises infrastructure

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