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Artículo: AMZ-B0G62XRHZB
AWS Generative AI Developer Professional: A Complete Skills-Mapped Study Guide for the AIP-C01 Exam (AWS Certification Decision Guides)
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Kindle
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0.20 kg
0.20 kg
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Nuevo
Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- This book is optimized for readers searching for AWS Generative AI exam prep, AIP-C01 practice questions, Amazon Bedrock study guide, foundation model selection, prompt engineering techniques, RAG architecture, vector embeddings, SageMaker finetuning, and AWS AI certification resources for developers and ML engineers. Your definitive, end-to-end guide to mastering the AWS Certified Generative AI Engineer – Professional (AIP-C01).The AIP-C01 exam is the most advanced and comprehensive Generative AI certification offered by AWS—covering foundation models, prompting, RAG, vector databases, model evaluation, GPU optimization, CI/CD for GenAI, governance, security, and responsible AI practices. This book is engineered to take you from conceptual understanding to architect-level mastery, mapping every chapter directly to the official AWS exam skills.Designed for developers, architects, ML engineers, and cloud practitioners preparing for the next wave of AI-powered cloud solutions, this Study Guide brings together the essential theory, real-world patterns, decision frameworks, and exam-level reasoning you need to pass on the first attempt.Through diagrams, mental models, architectural blueprints, trade-off tables, and exam trap callouts, you’ll learn not only what AWS wants you to know—but how to think like a Generative AI engineer.Inside this guide, you’ll master:Foundation model selection across Claude, Titan, Mistral and moreExpert-level prompt engineering and structured promptingEmbeddings, vector stores, chunking strategies, and RAG optimizationDistributed training, finetuning, LoRA/QLoRA and Bedrock customizationMulti-modal ingestion pipelines and ANN index optimizationCI/CD pipelines for GenAI workloads, containerization, and GPU tuningGovernance, Bedrock Guardrails, VPC privacy patterns, IAM, encryptionResponsible AI, bias detection, explainability and auditabilityThe book ends with a complete set of skills-mapped practice questions, ensuring you can apply every concept in an exam-style context.Whether you're building production-grade GenAI systems today—or preparing for the future of cloud-native AI—this guide gives you the clarity, structure, and confidence required to excel.Master the skills. Understand the architecture. Pass the exam. Build the next generation of AI applications on AWS.
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