Ultimate AWS Certified AI Practitioner (AIF-C01) Exam Guide: Supercharge Your Career in AI with the AWS AI Practitioner (AIF-C01) Certification Using … Tips and Practical Insights (English Edition)
Author:Gaurav H Kankaria (Author)
ASIN: B0FH5NNRMG
Publisher finelybook 出版社: Orange Education Pvt Ltd
Publication Date 出版日期: 2025-07-09
Language 语言: English
Print Length 页数: 336 pages
ISBN-10: 9349888157
ISBN-13: 9789349888159
Book Description
Your Complete Roadmap to AWS AI Practitioner Success—Simplified, Practical, and Designed to Help You Pass with Confidence.
Book Description
In today’s AI-powered world, earning the AWS Certified AI Practitioner (AIF-C01) certification is a powerful way to validate your skills, boost your credibility, and stand out in the competitive cloud job market.
Ultimate AWS Certified AI Practitioner (AIF-C01) Exam Guide is a comprehensive, beginner-friendly roadmap for professionals, students, and decision-makers looking to master AI and Machine Learning on AWS—and crack the AIF-C01 exam with confidence.
Covering everything from AI and ML fundamentals to core AWS services like SageMaker, Bedrock, and Rekognition, this guide also explores Generative AI, vision and language-based AI use cases, and practical tools for personalization, security, and governance. You’ll gain clarity on responsible AI principles, learn to identify and mitigate bias, and confidently navigate AWS best practices in ethics and compliance.
Each chapter offers real-world examples, exam strategies, and practice questions designed to reinforce key concepts and simulate the exam environment. Whether you’re technical or non-technical, the content is simplified for easy understanding—without sacrificing depth or relevance.
Table of Contents
1. Introduction to the AWS AI Practitioner Certification Exam
2. Overview of AI and ML on AWS
3. Core AWS Services and Tools for AI and ML
4. Introduction to Gen AI and AWS Gen AI Services
5. Key Use Cases of Generative AI on AWS
6. Building AI Solutions with Amazon SageMaker
7. Other AWS AI Services
8. Ethics, Bias, and Responsible AI Practices
9. Security and Governance Best Practices for AI
10. Exam Tips, Practice Questions, and the Future of AI
Index