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Více informací o knize GenAI Architecture Interview Practice Lab

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Nákupem získáte 79 bodů

Anotace knihy

Know the basics of AI but struggle to explain how a complete AI system should be designed?

Technical interviews can make even capable developers feel unprepared. LLMs, RAG, AI agents, vector databases, and deployment decisions are challenging enough on their own. Explaining how they work together-and why you chose one architecture over another-takes practice.

GenAI Architecture Interview Practice Lab turns that challenge into a clear, structured learning process. With a basic understanding of software development, APIs, and databases, you can work through 20 realistic system design challenges, compare your approach with detailed solutions, and build confidence one challenge at a time. No previous AI architecture interview experience is required.

Key Features

• 20 Original Challenges: Practice designing LLM applications, RAG pipelines, AI agents, and enterprise AI systems.

• Detailed Worked Solutions: Understand architectural decisions, technical trade-offs, and practical implementation considerations.

• Clear Architecture Diagrams: Visualize system components and how they interact.

• Interview Questions and Scoring Rubrics: Assess your responses, identify weaknesses, and track progress.

• Practical Reference Materials: Use checklists, mock interview worksheets, and technical formulas.

What You Will Learn

• Structure confident responses to AI system design interview questions.

• Design LLM applications with context management and model routing.

• Build reliable retrieval pipelines using embeddings, vector search, and RAG.

• Architect AI agents with tool calling and multi-agent orchestration.

• Address security, evaluation, testing, and operational reliability.

• Optimize AI inference for scalability, latency, and cost.

• Explain multimodal and enterprise AI architectures.

Who This Book Is For

• Software developers transitioning into AI engineering.

• AI engineers preparing for technical interviews.

• Aspiring AI architects and solution architects.

• Technical professionals strengthening their system design skills.

• Self-learners with basic programming and software development knowledge.

Table of Contents

Chapter 1: Foundations of Generative AI System Design Interviews

Chapter 2: Prompt Processing, Context Management, and Model Routing

Chapter 3: Document Ingestion, Embeddings, and Retrieval Architecture

Chapter 4: Production RAG and Grounded Document Intelligence

Chapter 5: AI Agents, Tool Calling, and Stateful Execution

Chapter 6: Multi-Agent Coordination and Reliable Orchestration

Chapter 7: LLM Evaluation, Security, and Regression Testing

Chapter 8: Inference Serving, Scaling, and Cost Optimization

Chapter 9: Multimodal Generative AI System Design

Chapter 10: Enterprise AI Platforms, Deployment, and Operational Reliability

Build Your Architecture Confidence Today

You don't need to memorize perfect answers to become a stronger AI systems designer. You need structured practice, sound technical reasoning, and the confidence to defend your decisions.

Start practicing with GenAI Architecture Interview Practice Lab and take your next step toward mastering AI architecture interviews and real-world system design.

Parametry knihy

• Plný název: GenAI Architecture Interview Practice Lab
• Podnázev: 20 Original System Design Challenges with Scoring Rubrics, Diagrams, and Detailed Solutions for LLMs, RAG, and AI Agents
• Autor: Kaelion Veyric
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 318
• EAN: 9798166597151
• ID: 54397042
• Nakladatelství: Independently published
• Hmotnost: 555 g
• Rozměry: 254 × 178 × 17 mm
• Datum vydání: 31. October 2026

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