{ "item_title" : "Agentic AI Systems Interview Mastery - 2026", "item_author" : [" Sanjay Nakharu Prasad Kumar "], "item_description" : "Master Agentic AI Interviews with 280 Technical, Coding, Architecture, and Scenario-Based Questions and Answers.Agentic AI Systems Interview Mastery - 2026 is a practical interview preparation guide for AI Engineers, Generative AI Developers, AI Architects, Forward Deployed Engineers, and technical leaders.Written by Dr. Sanjay Nakharu Prasad Kumar, this book covers the essential concepts, architectures, frameworks, and production challenges involved in designing intelligent, autonomous AI systems.What You'll Learn: Agentic AI Fundamentals: Reasoning, planning, reflection, autonomy, and intelligent agent architectures.Technical Architecture: Agent orchestration, tool calling, workflow design, and enterprise integration.Multi-Agent Systems: LangGraph, CrewAI, AutoGen, and agent collaboration.RAG and Context Engineering: Vector databases, retrieval, memory, and knowledge management.Security and Guardrails: Prompt injection, access control, responsible AI, and governance.Testing and Observability: Agent evaluation, debugging, monitoring, and reliability.Production AI Engineering: Scalability, deployment, latency optimization, cost management, and MLOps.System Design Interviews: Real-world scenarios, architecture trade-offs, and senior-level problem-solving.Featuring 280 interview questions with detailed answers, technical explanations, practical examples, and implementation guidance, this book helps readers prepare for technical interviews while developing the skills needed to build production-ready agentic AI systems.Go beyond AI theory. Master the architecture, engineering, and real-world problem-solving skills required for the next generation of AI careers.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/816/162/9798161629826_b.jpg", "price_data" : { "retail_price" : "24.99", "online_price" : "24.99", "our_price" : "24.99", "club_price" : "24.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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