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Machine Learning – Specialty (Legacy)

Engineers who want to be the go-to person for one deep topic.

$300Exam fee
180 minExam time
3 yrsValid for
MLS-C01Exam code
MLS-C01Specialty
SageMaker
ML Pipelines
AI Services

Services you will work with orbit the exam. Move your mouse to tilt.

Machine Learning – Specialty (Legacy) at a glance

Machine Learning – Specialty (Legacy) (MLS-C01) is an AWS Specialty level certification exam. The exam takes 180 min, the fee listed here is $300, and the certification is valid for 3 years.

Is this exam right for you?

Best for

ML Specialist

Before you start

Advanced ML on AWS. No prerequisites.

What you will practise

Tap a block to flip it.

Your study plan

A suggested route. Your mentor adjusts it to your pace.

Weeks 1-3Deep theory

One topic, studied end to end until you can explain it to others.

Weeks 4-6Hands-on labs

Break it, attack it, fix it. Labs built around real incidents.

Weeks 7-8Scenario practice

Tricky multi-service questions and how to eliminate wrong options.

Weeks 9-10Exam drills

Timed mocks, then a final mentor check.

Projects you will build

Each one goes into your portfolio.

1

End-to-end ML pipeline

2

Feature engineering at scale

3

Tune and compare models

Questions about Machine Learning – Specialty (Legacy)

How much does the Machine Learning – Specialty (Legacy) exam cost?

The MLS-C01 exam fee listed on this page is $300.

How long is the MLS-C01 exam?

The exam time is 180 min.

Who is the Machine Learning – Specialty (Legacy) exam for?

It is aimed at: ML Specialist.

What do I need before I start?

Advanced ML on AWS. No prerequisites.

How long is Machine Learning – Specialty (Legacy) valid for?

The certification is valid for 3 years.

What level is Machine Learning – Specialty (Legacy)?

It is a Specialty level exam. Go deep in one area: security, networking or machine learning.

Ready to pass MLS-C01?

Learn with projects, timed tests and mentors who have already passed.