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Anotácia knihy

Quickly and intelligently prepare for the AIF-C01 exam and succeed in your first role as an AWS AI practitioner In AWS Certified AI Practitioner Study Guide: Foundational (AIF-C01) Exam, a team of veteran AWS and AI specialists walks you through an efficient and effective path to success on the challenging AIF-C01 exam. You'll demonstrate your knowledge and effectiveness with artificial intelligence (AI) and machine learning (ML), generative AI technologies, and their associated AWS services and tools, independent of any specific job role or industry title. You'll discover how to understand the appropriate uses of AI, ML, and generative AI technologies, when to use the various products and tools available, and how to ask relevant questions within your organization. The book covers the fundamentals of AI, ML, and generative AI, applications of foundation models, guidelines for responsible AI use, and security, compliance, and governance for AI solutions. Inside the book: Complimentary access to the online Sybex learning environment, including practice tests and exams, chapter review questions, flashcards, and a searchable key term glossaryMaterial to help you become familiar with Amazon Web Services tools, including EC2, S3, Lambda, and SageMakerExplanations of Amazon Web Services infrastructure, including discussions of AWS regions, availability zones, and edge locations Perfect for anyone interested in building AI/ML solutions on Amazon Web Services, AWS Certified AI Practitioner Study Guide is a must-read resource for everyone planning to take the AIF-C01 exam, as well as those interested in working—or already working—in this dynamic and exciting field.

Parametre knihy

• Celý názov: AWS Certified AI Practitioner Study Guide
• Podnázov: Foundational (AIF-C01) Exam
• Autor: Elango, Vikram, Gangasani, Vivek, Subramanian, Shreyas
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 320
• EAN: 9781394328192
• ID: 46665170
• Nakladateľ: John Wiley & Sons Inc
• Hmotnosť: 454 g
• Dátum vydania: 19. August 2025

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