Curriculum

  1. 1

    Book Preview

    1. Ultimate AWS Certified AI Practitioner (AIF-C01 Exam Guide Free preview
  2. 2

    Introduction

    1. (Included in full purchase)
  3. 3

    Chapter 1 : Introduction to the AWS AI Practitioner Certification Exam

    1. (Included in full purchase)
  4. 4

    Chapter 2 : Overview of AI and ML on AWS

    1. (Included in full purchase)
  5. 5

    Chapter 3 : Core AWS Services and Tools for AI and ML

    1. (Included in full purchase)
  6. 6

    Chapter 4 : Introduction to Gen AI and AWS Gen AI Services

    1. (Included in full purchase)
  7. 7

    Chapter 5 : Key Use Cases of Generative AI on AWS

    1. (Included in full purchase)
  8. 8

    Chapter 6 : Building AI Solutions with Amazon SageMaker

    1. (Included in full purchase)
  9. 9

    Chapter 7 : Other AWS AI Services

    1. (Included in full purchase)
  10. 10

    Chapter 8 : Ethics, Bias, and Responsible AI Practices

    1. (Included in full purchase)
  11. 11

    Chapter 9 : Security and Governance Best Practices for AI

    1. (Included in full purchase)
  12. 12

    Chapter 10 : Exam Tips, Practice Questions, and the Future of AI

    1. (Included in full purchase)
  13. 13

    INDEX

    1. (Included in full purchase)

About the course

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. If you're serious about working in AI or cloud, this certification isn't just a bonus—it’s becoming a must-have. Don’t miss your chance to stay ahead of the curve—master AWS AI and future-proof your career now.

About the Author

Gaurav H Kankaria is a passionate technologist with nearly a decade of experience in data and analytics. He helps retail and financial clients drive business growth by designing data-intensive solutions and utilizing AI/ML technologies to solve complex challenges. Gaurav has a proven track record of designing scalable data architectures, implementing predictive analytics solutions, and leading projects that have delivered significant top-line and bottom-line improvements for diverse clients across the retail and financial sectors.