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Autor(en): 
  • R. Gatamah
  • How to Create AI Agents: A Complete Guide from First Principles to Professional Practice 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juli 2026  
    Genre:  Ratgeber 
     
    BUSINESS & ECONOMICS / Entrepreneurship / COMPUTERS / Programming / General / Small Business / Entrepreneurship / TECHNOLOGY & ENGINEERING / Robotics
    ISBN:  9798188843502 
    EAN-Code: 
    9798188843502 
    Verlag:  Amazon Digital Services LLC - Kdp 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 9 mm 
    Gewicht:  177 gr 
    Seiten:  138 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    How to Create AI Agents
    A Complete Guide from First Principles to Professional Practice

    Artificial Intelligence is no longer just about chatbots.

    The future belongs to AI agents-systems that can reason, use tools, remember information, make decisions, and complete complex tasks with minimal human intervention.

    Whether you're a software developer, data scientist, entrepreneur, student, or technology enthusiast, this practical guide takes you from the fundamentals of AI agents to building production-ready autonomous systems.

    Instead of focusing on hype or theory alone, this book explains how real AI agents work, why they succeed, why they fail, and how professional engineers build reliable agentic applications.

    Inside you'll learn:

    -What AI agents really are-and how they differ from chatbots and copilots

    -How large language models reason and make decisions

    -The anatomy of modern AI agents

    -Prompt engineering specifically for autonomous agents

    -Function calling and tool integration

    -Memory systems and long-term context

    -Retrieval-Augmented Generation (RAG)

    -Multi-agent architectures and design patterns

    -LangGraph, CrewAI, Model Context Protocol (MCP), and modern frameworks

    -Testing, evaluation, and benchmarking

    -Safety, guardrails, and responsible AI

    -Deploying agents into production

    -Monitoring performance and reducing costs

    -Enterprise-scale architectures

    -Building a career in AI Agents

    Featuring practical examples, engineering insights, architecture diagrams, and production best practices, this book bridges the gap between beginner tutorials and enterprise AI engineering.

    If you want to move beyond simply calling an API and start building intelligent autonomous systems that solve real-world problems, this book provides the roadmap.

    Perfect for:

    - Software Engineers

    - Python Developers

    - AI Engineers

    - Data Scientists

    - Machine Learning Engineers

    - Technical Founders

    - Computer Science Students

    - Technology Professionals

    Whether you're building your first AI agent or designing enterprise-scale autonomous systems, this book gives you the knowledge, tools, and engineering mindset to build them professionally.

      



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