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AWS Cloud Stable Market Trend

AWS-ML

AWS Certified Machine Learning

Job Postings
1,783
Active Market
Salary Floor
$155,000
Est. Potential
Demand Hub
0.03%
Market Presence
Current Trend
Stable
Updated Weekly
Cost
$300
Study Time
80-120 hours
Duration
130-170 mins
Questions
65-75
Pass Score
700-750/1000

Certification Overview

AWS's specialty-level ML certification covering SageMaker, data engineering, and model deployment. The 180-minute exam has 65 questions (50 scored) requiring 750/1000 to pass. Being retired March 2026 - replaced by ML Engineer Associate. Requires 2+ years of ML on AWS.

The AWS Certified Machine Learning (AWS-ML) is a globally recognized benchmark designed for professionals aiming to prove their expertise in cloud. In today's competitive landscape, this certification acts as a critical signal to employers regarding your technical proficiency and commitment to the field.

Primary Impact

  • Higher salary ceiling in Cloud roles
  • Validated expertise at the enterprise level

Market Signal

Ranked as a Top Cloud Credential for 2026, holding the AWS-ML significantly reduces the time-to-hire for senior positions.

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Live Analysis

Market Outlook

We monitor job market volume in real-time to provide the most accurate demand forecasting for your career.

Market Sentiment

Stable

There are currently 1,783 open roles in the US requiring this specific certification.

Growth Score: High

Tracking period: 12 Weeks

Job data provided by Adzuna

Maintenance & Recognition

Renewal Requirements

Renewal Period 3 years
CPE Requirement Recertification Exam
Renewal Cost 50% of exam cost

Industry Recognition

AWS Certified Global Industry Standard

Proctoring Options

Remote / Online Testing Available
The Roadmap

Path to Excellence

Everything you need to successfully navigate the AWS-ML certification journey.

01 Entry Requirements

  • ML Experience

    2+ years of hands-on experience developing, architecting, or running ML/deep learning workloads on AWS.

02 The Process

1

Data Engineering

Learn S3 data lakes, Glue ETL, and Kinesis streaming for ML.

2

SageMaker Mastery

Master the full ML lifecycle: Build, train, and deploy models at scale.

3

Pass MLS-C01 Exam

Pass the specialty-level exam covering data prep and modeling.

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Ready to Get Certified?

Start your AWS-ML certification journey today and open doors to new opportunities in cloud.