AWS Certified Machine Learning - Specialty

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AWS CERTIFICATION

AWS Certified Machine Learning – Specialty

AWS Certified Machine Learning - Specialty

This certification allows businesses to hire employees with essential requirements of carrying out some critical cloud activities on AWS cloud. AWS Certified Machine Learning – Specialty status attests to one’s proficiency in creating, honing, optimizing, and deploying machine learning (ML) models on the platform.

Who should take this exam?

AWS Certified Machine Learning – Specialty is designed for those with more than a year of experience building, architecting, or executing machine learning/deep learning workloads on the AWS Cloud. These people often work in development or data science roles.

It is recommended to have the following before taking up the course:

ML or deep learning workloads have been developed, architected, and operated in the AWS Cloud for at least two years.
Being able to explain the logic behind simple machine learning algorithms
Knowing fundamental hyperparameter optimization
Experience and familiarity with machine learning and deep learning frameworks
The capacity to adhere to model deployment, training, and operational best practices

What does it take to earn this certification?

You must take and pass the AWS Certified Machine Learning – Specialty test to obtain this credential (MLS-C01). Multiple-choice and multiple-answer question types are included in the test. The test guide contains further details, including the exam’s list of topics and the passing score.

Download the exam guide »

Examine example questions that show the structure of the questions asked on this test and provide justifications for the right responses.

Download the sample questions »

Exam overview

Level: Specialty
Length: 180 minutes to complete the exam
Cost: 300 USD
Visit Exam pricing for additional cost information.

Format: 65 questions; either multiple choice or multiple response
Delivery method: Pearson VUE and PSI; testing center or online proctored exam

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This Machine Learning Pipeline on AWS course explores how to the use of the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the process pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays.

EXAM READINESS: AWS CERTIFIED MACHINE LEARNING - SPECIALTY

Your ability to create, implement, deploy, and maintain Machine Learning (ML) solutions for specific business issues is confirmed by passing the AWS Certified Machine Learning – Specialty exam. Explore the exam’s topic areas, such as data engineering, exploratory data analysis, modeling, and machine learning implementation and operations, in this half-day advanced-level course. The course teaches you how to apply the topics being examined so you may more readily eliminate incorrect solutions. It also discusses how to understand exam questions in each academic area.