Sybex Study Guide AWS Certified Machine Learning Engineer Study Guide: Associate (Mla-C01) Exam, (Paperback)

<p><b>Prepare for the AWS Machine Learning Engineer exam smarter and faster and get job-ready with this efficient and authoritative resource</b></p> <p>In <i>AWS Certified Machine Learning Engineer Study Guide: Associate (MLA-C01)</i> 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.</p> <p>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.</p> <p><b>Inside the book: </b></p> <ul> <li>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</li> <li>Strategies for selecting and justifying an appropriate machine learning approach for specific business problems and identifying the most efficient AWS solutions for those problems</li> <li>Practical techniques you can implement immediately in an artificial intelligence and machine learning (AI/ML) development or data science role</li> </ul> <p>Perfect for everyone preparing for the AWS Certified Machine Learning Engineer -- Associate exam, <i>AWS Certified Machine Learning Engineer Study Guide</i> 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.</p>

• Sybex Study Guide AWS Certified Machine Learning Engineer Study Guide: Associate (Mla-C01) Exam, (Paperback)
• Author: Sybex
• ISBN: 9781394319954
• Format: Paperback
• Publication Date: 2025-06-25
• Page Count: 448