book

AWS Certified Machine Learning Engineer Study Guide

by Dario Cabianca

June 2025

Intermediate to advanced

448 pages

13h 10m

English

Sybex

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Understanding Artificial IntelligenceUnderstanding Machine LearningUnderstanding Deep LearningSummaryExam EssentialsReview Questions

Introducing Ingestion and StorageIngesting and Storing DataSummaryExam EssentialsReview Questions
IntroductionUnderstanding Feature EngineeringData Cleaning and TransformationFeature Engineering TechniquesData LabelingManaging Class ImbalanceData SplittingSummaryExam EssentialsReview Questions
Understanding AWS AI ServicesDeveloping Models with Amazon SageMaker Built-in AlgorithmsCriteria for Model SelectionSummaryExam EssentialsReview Questions
TrainingHyperparameter TuningModel Performance EvaluationDeep-Dive Model Tuning ExampleSummaryExam EssentialsReview Questions
AWS Model Deployment ServicesAdvanced Model Deployment TechniquesOrchestrating ML WorkflowsDeep Dive Model Deployment ExampleSummaryExam EssentialsReview Questions
Monitoring Model InferenceMonitoring Infrastructure and CostSummaryExam EssentialsReview Questions
Security Design PrinciplesSecuring AWS ServicesSummaryExam EssentialsReview Questions
Chapter 1: Introduction to Machine LearningChapter 2: Data Ingestion and StorageChapter 3: Data Transformation and Feature EngineeringChapter 4: Model SelectionChapter 5: Model Training and EvaluationChapter 6: Model Deployment and OrchestrationChapter 7: Model Monitoring and Cost OptimizationChapter 8: Model Security
Linear AlgebraStatisticsProbability TheoryCalculus

Overview

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.