What do you think?
Rate this book
AWS Certified AI Practitioner (AI1-C01) - Preparation Guide: All you need to know to ace the certification
This book is designed to provide aspiring AI practitioners with a deep understanding of the fundamental concepts and practical applications of AI and machine learning (ML) on the AWS platform.
The guide covers all the domains listed in the official AWS certification release guide, ensuring that readers gain a thorough understanding of the essential topics required to pass the exam. It delves into the key AWS services and tools for building, training, and deploying AI and ML models, such as Amazon Bedrock, Amazon SageMaker, Amazon Rekognition, Amazon Transcribe, Amazon Polly, and Amazon Comprehend.
In addition to covering the technical aspects, the book also explores the ethical considerations and responsible practices in AI development. It discusses topics such as bias detection, model explainability, and privacy-preserving techniques, helping readers develop a holistic understanding of AI and ML applications.
The guide is structured in a way that caters to both beginners and experienced professionals. It starts with an introduction to AI and ML concepts, gradually building upon this foundation with practical examples and real-world use cases. The book also includes numerous tips, strategies, and practice questions to help readers prepare effectively for the certification exam.
The guide covers all the domains listed in the official AWS certification release guide, ensuring that readers gain a thorough understanding of the essential topics required to pass the exam. It delves into the key AWS services and tools for building, training, and deploying AI and ML models, such as Amazon Bedrock, Amazon SageMaker, Amazon Rekognition, Amazon Transcribe, Amazon Polly, and Amazon Comprehend.
In addition to covering the technical aspects, the book also explores the ethical considerations and responsible practices in AI development. It discusses topics such as bias detection, model explainability, and privacy-preserving techniques, helping readers develop a holistic understanding of AI and ML applications.
The guide is structured in a way that caters to both beginners and experienced professionals. It starts with an introduction to AI and ML concepts, gradually building upon this foundation with practical examples and real-world use cases. The book also includes numerous tips, strategies, and practice questions to help readers prepare effectively for the certification exam.
180 pages, Kindle Edition
Published September 14, 2024
13 people are currently reading
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
No one has reviewed this book yet.