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AWS Certified Machine Learning Engineer - Associate

Standardize your team on AWS Certified Machine Learning Engineer - Associate with a structured AWS training path — virtual labs and team admin reporting included on every CBT Nuggets training subscription.

Book a DemoAll AWS certs
1
Course
$150
Exam cost
5
Core skills
AWS cloud engineering team reviewing architecture diagrams together
Difficulty
Difficulty: 3 of 5 (Moderate)
Moderate
Exam cost
$150
Courses on path
1
Official source
Vendor cert page
Exam code
  • MLA-C01

Exam datasheet

Exam length
130 minutes
Questions
65
Passing score
750
Prerequisites
None
Recommended experience
1-2 years of experience in machine learning and deep learning on AWS
Recertification
3 years
Hiring-market salary
$120,000 - $150,000 USD
Testing center

Public hiring-market data — not a CBT Nuggets guarantee.

Skills your team builds

machine learningdeep learningAWS servicesdata engineeringmodel deployment

Training path

Your team's training path

One CBT Nuggets course covers the full AWS Certified Machine Learning Engineer - Associate path. Your team can start today and have admin reporting visible from day one.

  1. Start here · primary course

    AWS Machine Learning

    This AWS Certified Machine Learning Engineer - Associate (MLA-C01) course is designed to get you comfortable with the full lifecycle of machine learning workflows on AWS. You’ll learn how to prepare data, train models, and deploy them securely in a professional environment. With AWS expert Scott Pletcher as your guide, you’ll explore key AI and ML services like Amazon SageMaker and AWS Glue, and see how to apply them in your everyday work. You’ll get hands-on with tools that simplify, accelerate, and enhance the way you use the AWS ecosystem. By the end, you’ll be ready to earn a career-advancing credential from the world’s cloud and AI powerhouse: the AWS Certified Machine Learning Engineer – Associate certification. Take the MLA-C01 exam with confidence and move forward in your machine learning career.

    Scott Pletcher
    175 videos20h
    Open course

Every certification includes

Expert-led video training
Virtual labs
Certification practice exams
Per-team completion reporting

AWS career ladder

Where AWS Certified Machine Learning Engineer - Associate sits in your team's AWS progression

The cert your team is on now, plus the levels above and below. Use this to map an engineer's next-step credential or to plan headcount coverage across tiers.

  1. Practitioner level

    1 cert

    AWS Certified AI Practitioner

    AIF-C01

  2. Associate level

    5 certs

    AWS Certified CloudOps Engineer – Associate

    SOA-C03

    AWS Certified Data Engineer – Associate

    DEA-C01

    AWS Certified Developer – Associate

    DVA-C02

    AWS Certified Machine Learning Engineer - Associate

    MLA-C01

    You are here

    AWS Certified Solutions Architect - Associate

    SAA-C03

  3. Professional level

    2 certs

    AWS Certified Generative AI Developer - Professional

    AIP-C01

    AWS Certified Solutions Architect - Professional

    SAP-C02

  4. Specialty level

    2 certs

    AWS Certified Advanced Networking – Specialty

    ANS-C01

    AWS Certified Security – Specialty

    SCS-C03

  5. Practictioner level

    1 cert

    AWS Certified Cloud Practitioner

    CLF-C02

Customer outcome

Make AWS a coverage number your auditor can quote

AWS Certified Machine Learning Engineer - Associate certified engineers are easy to count and easy to prove. CBT Nuggets bundles the prep into a single team playlist so leadership sees who's on the path, who finished, and who's exam-ready — without spreadsheets.

See team pricing
1 path
from foundation to credential — assigned and tracked as one playlist

Coverage proof

Make AWS a number on your team capability sheet, not a single engineer’s certificate.

Standardizing your team on AWS gives leadership and auditors a coverage number they can quote — and gives AWS incident response a baseline of capability you can predict instead of hoping for.

Credential: AWS Certified Machine Learning Engineer - Associate

Exam
  • MLA-C01

Frequently asked questions about AWS Certified Machine Learning Engineer - Associate training

Common questions IT directors ask when evaluating AWS Certified Machine Learning Engineer - Associate training for their team.

How does AWS Certified Machine Learning Engineer - Associate fit into our internal compliance and governance program?

Team reporting in CBT Nuggets documents assigned training, completion, and certification coverage for internal governance or external audit conversations. Pair the AWS Certified Machine Learning Engineer - Associate path with your auditor's control crosswalk for the formal compliance mapping your specific framework requires.

What's the ROI of certifying our team on AWS Certified Machine Learning Engineer - Associate?

IT Directors typically frame AWS Certified Machine Learning Engineer - Associate ROI in operational terms — faster troubleshooting, defensible role coverage, predictable onboarding velocity, and audit-ready training documentation. The metrics that matter aren't seat-time or completion percentages; they're mean time to resolve, time-to-productivity for new AWS hires, and certification coverage by role.

How does CBT Nuggets AWS Certified Machine Learning Engineer - Associate training compare to Pluralsight, LinkedIn Learning, or Udemy Business?

CBT Nuggets AWS Certified Machine Learning Engineer - Associate courses are built by named expert trainers (not crowd-sourced contributors), include hands-on virtual labs in many courses, and include certification practice exams mapped to the vendor's published exam objectives. Team admin reporting tracks assignment, completion, and exam-readiness per engineer — the surface managers actually use to manage team training programs. See /compare for the full feature comparison.

How do I assign and track AWS Certified Machine Learning Engineer - Associate training for my team?

From the admin console, managers create a training playlist (one or more courses on the AWS Certified Machine Learning Engineer - Associate path), assign it to specific engineers or role groups, and track completion + practice-exam scores per learner. Team-wide reporting rolls up to a single dashboard you can export for monthly leadership reviews or quarterly compliance reporting. No spreadsheet, no per-engineer license fiddling.

How long does it take to certify a team on AWS Certified Machine Learning Engineer - Associate?

Depends on the cert and the team's starting baseline. Entry-level AWS certs typically run 4–6 weeks per engineer from a cold start; associate-level certs run 8–12 weeks; professional/expert tracks can run 3–6 months. Most teams budget the full quarter for any associate-level certification so engineers have time to actually apply the lab work before the exam.

What if AWS updates the AWS Certified Machine Learning Engineer - Associate exam objectives?

CBT Nuggets updates AWS course content as exam objectives refresh — typically within weeks of the vendor's release. When AWS restructures or renames a track (a common pattern), the assigned training paths stay aligned with the same team training plan; managers don't have to rebuild the playlist from scratch. The training stays current without anyone losing their certification status mid-stream.

Ready to AWS Certified Machine Learning Engineer - Associate-certify your team?

Build AWS Certified Machine Learning Engineer - Associate capability across your team

See how CBT Nuggets helps IT Directors plan and track AWS Certified Machine Learning Engineer - Associate training across the team — labs, practice exams, and reporting included.

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