MCF

MCF

Authors:

PRITASARI PALUPININGSIH, K.KOM., M.KOM

RAKHMADI IRFANSYAH PUTRA, S.KOM., MMSI

HENDRA JATNIKA, S.KOM., M.KOM

YESSY FITRIANI, S.T., M.KOM

M YOGA DISTRA SUDIRMAN, S.T., MTI

 

ISBN: 978-623-8049-60-8 

B5, xviii + 365 hal

 

Cover & Layout:

Aksara Publications

Publisher: CV. AKSARA GLOBAL AKADEMIA

IKAPI Member No: 418/JBA/2021

 

"The compilation of this book is done in collaboration with ITCC ITPLN Jakarta.

Address: PLN, Jl. Lkr. Luar Barat No.1, RT.1/RW.1, Duri Kosambi, Cengkareng District, West Jakarta, Special Capital Region of Jakarta 11750."

 

Content beyond the responsibility of the publisher

Copyright @Juny 2023

IDR: 217K

SYNOPSIS

"Microsoft Azure AI Fundamentals: A Comprehensive Guide" is an educational resource designed to provide a thorough understanding of AI fundamentals using Microsoft Azure. This book is specifically tailored for academic programs and instructors teaching AI-900 Microsoft Azure AI Fundamentals.

The book begins with a section dedicated to preparing instructors to teach AI-900. It offers tips and tricks for effective teaching, along with module best practices. It covers the best practices for each module of AI-900, exploring topics such as computer vision, natural language processing, decision support, and visual tools for machine learning.

One of the key focuses of this book is on responsible AI. It emphasizes the importance of guiding principles for responsible AI and provides insights into the societal implications of AI. It also features executive Q&A sessions and case studies from leading organizations, showcasing their approaches to responsible AI.

The book covers various Azure services related to AI, including Computer Vision, Custom Vision, Face Service, Language Service, and more. Each topic is explained with clear learning objectives, introduction, practical exercises, and knowledge checks to reinforce understanding.

By the end of this book, readers will have a comprehensive understanding of Microsoft Azure AI fundamentals, including how to analyze images, classify objects, detect and analyze faces, read text, analyze receipts, perform natural language processing, recognize and synthesize speech, and use visual tools for machine learning.***