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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: 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]
