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AWS Certified AI Practitioner Study Guide
Foundational (AIF-C01) Exam

Vikram Elango (Author), Vivek Gangasani (Author), Shreyas Subramanian (Author)

9781394328192, Wiley

Paperback / softback, published 28 October 2025

320 pages
24.1 x 19.6 x 3.6 cm, 0.454 kg

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 glossary
  • Material to help you become familiar with Amazon Web Services tools, including EC2, S3, Lambda, and SageMaker
  • Explanations 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.

Introduction xix

Assessment Test xxvi

Answers to Assessment Test xxxi

Part I Introduction to AI and ML 1

Chapter 1 Basic AI Concepts and Terminology 3

Chapter 2 Basic Concepts of Generative AI 35

Part II Building AI Applications with AWS 49

Chapter 3 Applications of AI and ML in Real-World Use Cases 51

Chapter 4 AWS AI and ML Services 73

Part III Common GenAI Patterns 101

Chapter 5 Model Selection and Prompt Engineering 103

Chapter 6 Generative AI Applications with RAG and Agents 139

Chapter 7 Model Customization and Evaluation 161

Part IV Bringing AI to Production 187

Chapter 8 MLOps 189

Chapter 9 Implementing Responsible AI with AWS Services 213

Chapter 10 AI Security, Governance, and Compliance 235

Appendix Answers to the Review Questions 267

Index 277

Subject Areas: Education [JN]

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