A Issued by Amazon • Official Credential

AWS Certified Machine Learning Engineer

Build, deploy, and maintain machine learning solutions on AWS with practical training for the AWS Certified Machine Learning Engineer - Associate certification. Develop skills in data preparation, model development, ML workflow deployment, monitoring, maintenance, and security.

uCertify is an independent training provider. We prepare candidates to master all domains and pass the exam — the credential itself is awarded by Amazon upon passing.
Prerequisites:   AWS recommends at least 1 year of experience using Amazon SageMaker and other AWS services for ML engineering, plus at least 1 year of experience in a related role such as backend software development, DevOps, data engineering, or data science.  Exam Code:   MLA-C01   65 questions   130 minutes

Credential Transparency

What you're earning vs. what you're buying

The Official Credential

AWS Certified Machine Learning Engineer

The industry-recognized certification awarded by Amazon upon exam completion.

  • Issued byAmazon
  • RecognitionIndustry-wide standard
  • ValidityIndustry Standard
  • DeliveryExam   MLA-C01
uCertify Preparation Course

AWS Certified Machine Learning Engineer Complete Prep

Comprehensive curriculum, interactive labs, and practice tests designed to prepare you to pass.

  • Provided byuCertify
  • Learning ToolsLessons, LiveLabs & TestSim
  • Access Period1-Year Unlimited Access
  • On CompletionuCertify Certificate

Certification Overview

About AWS Certified Machine Learning Engineer

Build, deploy, and maintain machine learning solutions on AWS with practical training for the AWS Certified Machine Learning Engineer - Associate certification. Develop skills in data preparation, model development, ML workflow deployment, monitoring, maintenance, and security.

Explore more certifications from Amazon →

Exam at a Glance

Exam Code   MLA-C01
Duration   130 minutes
Questions   65
Passing Score   720 out of 1000
Vendor Amazon
Curriculum reviewed against official exam blueprint

PROFESSIONAL VALUE

Why Join uCertify’s AWS Machine Learning Engineer Training?

Build practical ML engineering skills with structured lessons, hands-on practice, assessments, and exam-focused preparation based on the AWS certification objectives.

01

ML Engineering Skills

Develop skills in preparing data, developing models, deploying ML workflows, and maintaining machine learning solutions on AWS.

02

Hands-On Learning

Practice machine learning concepts and AWS services through hands-on activities in a risk-free learning environment.

03

Exam-Focused Preparation

Prepare with practice questions and assessments aligned with the four AWS Certified Machine Learning Engineer - Associate exam domains.

04

Career-Ready Skills

Strengthen your skills in ML deployment, CI/CD, monitoring, security, and AWS infrastructure for machine learning workloads.

Ready to prepare? Here is everything included in uCertify's complete preparation course.

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AWS Certified Machine Learning Engineer Complete Certification Prep
For AWS Certified Machine Learning Engineer • Exam   MLA-C01
$279.99
1-Year Full Access
✓ Interactive lessons mapped directly to exam objectives
✓ Hands-on practice labs running in your browser
✓ Full-length practice test simulations with analytics
✓ uCertify verifiable certificate of completion

The Amazon official credential is awarded directly by Amazon upon passing the exam — separate from this preparation course.

Instant course access • Free pre-assessment included

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LEARNING METHODOLOGY

Our AWS Certified Machine Learning Engineer - Associate Training Key Features

A structured 4-step path built to guide you from foundational knowledge to exam readiness.

STEP 1 →

Learn

Interactive lessons, video tutorials, and exercises mapped to exam domains.

STEP 2 →

Practice

Browser-based virtual labs and real-world task simulations without setup.

STEP 3 →

Test

Full-length exam simulations matching the official difficulty and item styles.

STEP 4

Review

Diagnostic score reports identifying weak areas to target before exam day.

The uCertify Advantage

Built specifically for certification success

Tools designed to build real competence that transfers directly to test day and your career.

Hands-On Virtual Labs

Practice in real live operating environments right inside your web browser with step-by-step guidance and zero installation.

Full-Length Practice Tests

Simulate official test conditions with realistic item types, timed exam modes, and comprehensive answer rationales.

Readiness Analytics

Track your mastery domain by domain with real-time performance analytics so you know exactly when you are ready to pass.

EXAM COVERAGE

Exam Objectives

1 •   Data Preparation for Machine Learning' Lessons & Labs
  • ✓ Core theoretical concepts and domain background
  • ✓ Hands-on practical exercises and virtual guided activities
  • ✓ Assessment questions strictly aligned to exam objectives
2 •   Ingesting and Storing Data Lessons & Labs
  • ✓ Core theoretical concepts and domain background
  • ✓ Hands-on practical exercises and virtual guided activities
  • ✓ Assessment questions strictly aligned to exam objectives
3 •   Transforming Data and Feature Engineering Lessons & Labs
  • ✓ Core theoretical concepts and domain background
  • ✓ Hands-on practical exercises and virtual guided activities
  • ✓ Assessment questions strictly aligned to exam objectives
4 •   ML Model Development Lessons & Labs
  • ✓ Core theoretical concepts and domain background
  • ✓ Hands-on practical exercises and virtual guided activities
  • ✓ Assessment questions strictly aligned to exam objectives
5 •   Training, Refining, and Analyzing ML Models Lessons & Labs
  • ✓ Core theoretical concepts and domain background
  • ✓ Hands-on practical exercises and virtual guided activities
  • ✓ Assessment questions strictly aligned to exam objectives
6 •   Deployment and Orchestration of ML Workflows Lessons & Labs
  • ✓ Core theoretical concepts and domain background
  • ✓ Hands-on practical exercises and virtual guided activities
  • ✓ Assessment questions strictly aligned to exam objectives
7 •   CI/CD Pipelines and ML Workflow Automation Lessons & Labs
  • ✓ Core theoretical concepts and domain background
  • ✓ Hands-on practical exercises and virtual guided activities
  • ✓ Assessment questions strictly aligned to exam objectives
8 •   ML Solution Monitoring, Maintenance, and Security Lessons & Labs
  • ✓ Core theoretical concepts and domain background
  • ✓ Hands-on practical exercises and virtual guided activities
  • ✓ Assessment questions strictly aligned to exam objectives
9 •   Model Monitoring, Infrastructure Optimization, and AWS Security Lessons & Labs
  • ✓ Core theoretical concepts and domain background
  • ✓ Hands-on practical exercises and virtual guided activities
  • ✓ Assessment questions strictly aligned to exam objectives
View full course syllabus →

SKILLS & COMPETENCIES

Competencies you'll build

  Machine Learning Engineer   MLOps Engineer   Data Engineer   Data Scientist   DevOps Engineer

Why learners choose uCertify

Backed by guarantees, trusted worldwide

Secure Payment

Industry-standard 256-bit SSL encrypted checkout security.

Browser-Based Labs

Experience real hands-on virtual environments directly in your web browser.

Completion Certificate

Receive an accredited verifiable certificate of completion when you finish.

Curriculum and practice items are designed to map strictly to the latest official Amazon examination blueprint.

Questions?

Frequently Asked Questions

  Want to Learn More?

What is AWS Certified Machine Learning Engineer - Associate?
AWS Certified Machine Learning Engineer - Associate validates your ability to build, operationalize, deploy, and maintain machine learning solutions and pipelines using the AWS Cloud. The certification focuses on practical ML engineering skills across data preparation, model development, deployment, monitoring, maintenance, and security.
What experience is required for AWS Certified Machine Learning Engineer - Associate?
AWS recommends at least one year of experience using Amazon SageMaker and other AWS services for ML engineering, along with at least one year of experience in a related role such as backend software development, DevOps, data engineering, or data science
How will AWS Certified Machine Learning Engineer - Associate help my career?

The certification validates practical skills for implementing and operating ML workloads on AWS. It aligns with roles such as:-

  • Machine Learning Engineer
  • MLOps Engineer
  • Data Engineer
  • Data Scientist
  • DevOps Engineer
  • Backend Software Developer

AWS identifies these as relevant candidate roles for the certification.

Which AWS certifications are recommended for career growth after this certification?

Depending on your career goals, you can continue with certifications such as:-

  • AWS Certified Solutions Architect - Associate
  • AWS Certified Data Engineer - Associate
  • AWS Certified DevOps Engineer - Professional
  • AWS Certified Machine Learning Engineer - Associate
AWS Certified Machine Learning Engineer Logo

Prepare to pass the AWS Certified Machine Learning Engineer exam.

Master all objectives with uCertify interactive training and earn your Amazon credential.

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