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Artículo: AMZ-B0F93W3T2C
Autogen for AI Automation: Build Scalable Autonomous Agents and Orchestrated Workflows with Python and LLMs
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Paperback
Detalles del producto
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En stock
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0.81 kg
0.81 kg
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Si
Si
Condición
Nuevo
Nuevo
Producto de
Amazon
Amazon
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USA
USA
Sobre este producto
- Autogen for AI Automation: Build Scalable Autonomous Agents and Orchestrated Workflows with Python and LLMs The ultimate guide to building intelligent, scalable AI agents with Autogen, Python, and large language models. Step into the future of intelligent automation with Autogen for AI Automation—your comprehensive playbook for designing, developing, and deploying autonomous agents and orchestrated multi-agent systems powered by cutting-edge LLMs. Whether you're an AI engineer, Python developer, data scientist, or technical product manager, this hands-on resource delivers everything you need to master Autogen and build production-ready AI solutions. Inside this book, you'll learn how to: • Understand the core architecture of Autogen and how LLMs act as cognitive engines in autonomous workflows. • Build interactive and non-interactive agents that can perform reasoning, reflection, replanning, and memory-driven actions. • Design, orchestrate, and deploy multi-agent systems with advanced coordination, messaging, and role assignment. • Equip agents with custom tools, APIs, databases, and services to perform real-world automation tasks. • Manage context, state, and memory using technologies like Redis, vector stores, and JSON. • Apply Autogen to practical domains like DevOps, customer service, legal, finance, education, healthcare, and more. • Optimize and deploy agent workflows with Docker, CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and security best practices. Who is this book for? This book is ideal for: • Intermediate to advanced Python developers and AI practitioners. • Technical leads and architects working on LLM integration and automation. • Teams and enterprises looking to scale LLM-powered solutions in production. Why this book is different: Hands-on Projects: Every chapter includes actionable guides, use cases, and interactive challenges. Enterprise-Ready Blueprints: Learn best practices for scalability, testing, and deployment. Future-Proof Techniques: Integrate with RAG pipelines, knowledge graphs, and neuro-symbolic reasoning. High-impact SEO optimization: Discover how to build AI agents that align with compliance standards (GDPR, HIPAA) and real-world needs. Whether you're automating workflows, scaling business operations, or pioneering multi-agent AI ecosystems—this book is your essential launchpad. Start building tomorrow’s AI systems today.
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