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AWS Certified Machine Learning Engineer Study Guide - (Sybex Study Guide) by Dario Cabianca (Paperback)

AWS Certified Machine Learning Engineer Study Guide - (Sybex Study Guide) by  Dario Cabianca (Paperback) - 1 of 1
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About this item

Highlights

  • Prepare for the AWS Machine Learning Engineer exam smarter and faster and get job-ready with this efficient and authoritative resource In AWS Certified Machine Learning Engineer Study Guide: Associate (MLA-C01) Exam, veteran AWS Practice Director at Trace3--a leading IT consultancy offering AI, data, cloud and cybersecurity solutions for clients across industries--Dario Cabianca delivers a practical and up-to-date roadmap to preparing for the MLA-C01 exam.
  • About the Author: ABOUT THE AUTHOR DARIO CABIANCA is the AWS Practice Director at Trace3--a leading IT consultancy and AWS Advanced Consulting Partner--offering AI, data, cloud and cybersecurity solutions.
  • 448 Pages
  • Computers + Internet, Certification Guides
  • Series Name: Sybex Study Guide

Description



Book Synopsis



Prepare for the AWS Machine Learning Engineer exam smarter and faster and get job-ready with this efficient and authoritative resource

In AWS Certified Machine Learning Engineer Study Guide: Associate (MLA-C01) Exam, veteran AWS Practice Director at Trace3--a leading IT consultancy offering AI, data, cloud and cybersecurity solutions for clients across industries--Dario Cabianca delivers a practical and up-to-date roadmap to preparing for the MLA-C01 exam. You'll learn the skills you need to succeed on the exam as well as those you need to hit the ground running at your first AI-related tech job.

You'll learn how to prepare data for machine learning models on Amazon Web Services, build, train, refine models, evaluate model performance, deploy and secure your machine learning applications against bad actors.

Inside the book:

  • Complimentary access to the Sybex online test bank, which includes an assessment test, chapter review questions, practice exam, flashcards, and a searchable key term glossary
  • Strategies for selecting and justifying an appropriate machine learning approach for specific business problems and identifying the most efficient AWS solutions for those problems
  • Practical techniques you can implement immediately in an artificial intelligence and machine learning (AI/ML) development or data science role

Perfect for everyone preparing for the AWS Certified Machine Learning Engineer -- Associate exam, AWS Certified Machine Learning Engineer Study Guide is also an invaluable resource for those preparing for their first role in AI or data science, as well as junior-level practicing professionals seeking to review the fundamentals with a convenient desk reference.



From the Back Cover



Prepare for the AWS Machine Learning Engineer certification exam quickly and efficiently

The AWS(R) Certified Machine Learning Engineer Study Guide is a comprehensive resource for complete coverage of the challenging MLA-C01 exam. This Sybex Study Guide covers all of the MLA-C01 objectives. Prepare for the exam smarter and faster with Sybex thanks to up-to-date and accurate content, including an assessment test that validates and measures exam readiness, an objective map, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and remember what you've learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the AWS Certified Machine Learning exam with Sybex.

Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for:

  • Data and Feature Engineering
  • Data Science
  • Model Development and Refinement
  • Model Deployment and Orchestration
  • Machine Learning Operations
  • AWS AI Solutions
  • DevOps Engineering

ABOUT THE AWS MACHINE LEARNING ENGINEER - ASSOCIATE CERTIFICATION

The AWS Machine Learning Engineer - Associate certification demonstrates your ability to implement AI and ML solutions in the Amazon Web Services cloud. It tests and verifies your expertise in designing, building, training, tuning, and deploying machine learning models on AWS.

Interactive learning environment

Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/ go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to:

  • Interactive test bank with a practice exam to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam.
  • 100 electronic flashcards to reinforce learning and last-minute prep before the exam
  • Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared



About the Author



ABOUT THE AUTHOR

DARIO CABIANCA is the AWS Practice Director at Trace3--a leading IT consultancy and AWS Advanced Consulting Partner--offering AI, data, cloud and cybersecurity solutions. He is the author of Google Cloud Platform (GCP) Professional Cloud Security Engineer Certification Companion and Google Cloud Platform (GCP) Professional Cloud Network Engineer Certification Companion. Dario has collaborated with leading global consulting firms and enterprises for over 20 years, delivering impactful solutions in enterprise architecture, cloud computing, cybersecurity, and artificial intelligence.

Dimensions (Overall): 9.1 Inches (H) x 7.3 Inches (W) x 1.0 Inches (D)
Weight: 1.4 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 448
Genre: Computers + Internet
Sub-Genre: Certification Guides
Series Title: Sybex Study Guide
Publisher: Sybex
Theme: General
Format: Paperback
Author: Dario Cabianca
Language: English
Street Date: June 25, 2025
TCIN: 1003352990
UPC: 9781394319954
Item Number (DPCI): 247-48-4604
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 1 inches length x 7.3 inches width x 9.1 inches height
Estimated ship weight: 1.4 pounds
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