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Full Description
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.
Contents
Contents
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
