Professional Certification

What is Certified in Machine Learning Certification?

Certified machine learning professionals have a deep understanding of machine learning algorithms, and model deployment. They can build and train machine learning models, select the appropriate algorithm, and evaluate the performance of machine learning models. To obtain CML certification, a participant must meet certain requirements and then pass a 100-question exam. The CML exam was created by ML professionals for ML professionals, so each test question can be related to real-life ML project experiences.

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Prove Your Expertise with CML
by Earning Your Badge

"Demonstrate your ability to lead projects in any industry with this globally recognized certification."

Global Recognition

Accepted by top employers worldwide

Career Acceleration

Position yourself for promotions

How to Get Your Certification

Your roadmap to professional excellence

01

PREPARE

Prepare for the Certified in Machine Learning certification with our comprehensive test prep resources.

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02

APPLY

Assess your eligibility for the Certified in Machine Learning certification exam. If you meet the requirements, you can schedule your exam.

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03

TAKE THE EXAM

Upon confirming your eligibility and completing the payment, you will be prepared to sit for the exam.

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Certified in Machine Learning Certification

CML Badge

Industry-standard recognition

Why earn THE CML Now?

The CML certification validates your expertise in machine learning, enabling you to build intelligent predictive systems.

Organizations are seeking certified ML professionals to develop and optimize machine learning models.

The demand for certified ML professionals continues to grow as machine learning becomes essential across industries.

Holding a CML certification demonstrates your proficiency in building, training, and deploying ML models.

Eligibility Requirements

Pathways to qualify for the certification

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Option A

To apply for the CML certification, you must meet the following requirements: • A secondary degree (high school diploma, associate's degree, or the global equivalent) • 60 months of machine learning project experience • 35 hours of machine learning education/training

OR
Option B

• A four-year degree (bachelor's degree or the global equivalent) • 36 months of machine learning project experience • 35 hours of machine learning education/training

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