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AWS Certified Machine Learning – Speciality

The Machine Learning speciality certification validates an individual’s ability to build, train, tune and deploy machine learning (ML) models on AWS. This certification is intended for people who perform development or data science roles and have at least one year of experience in developing, architecting or running Machine Learning/Deep Learning workloads in the AWS Cloud.

A learner should be able to express the intuition behind basic ML algorithms, have experience with ML and deep learning algorithms, and have the ability to follow model-training, deployment and operational best practices. To earn this certification, you’ll need to take and pass the AWS Certified Machine Learning – Specialty exam (MLS-C01)

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 you need to do to get 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 Readiness

AWS Certified Machine Learning - Speciality

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.

Classroom Training

The Machine learning pipelines on AWS

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 Overview

Level: Specialty
Length: 180 minutes
Cost: 300 USD
Format: 65 questions; either multiple choice or multiple response
Delivery Method: Pearson VUE and PSI; testing center or online proctored exam

Talk to a Learning Advisor

Please enable JavaScript in your browser to complete this form.

FAQs

The cost is as follows – Fundamental courses – USD 100, Associate Level Course – USD 150, Professional and Speciality Course – USD 300

You may reach out to us at info@cloudwizard.wpenginepowered.com to get exam voucher alternately you may pay through the payment link available on our website the get the exam voucher code.

The validity of an exam voucher is 1 year from the date of issue

Only one attempt is available.

Candidates must wait two weeks from the original exam date to rebook the next attempt

MOBILE LAYOUT

AWS Certified Machine Learning – Speciality

The Machine Learning speciality certification validates an individual’s ability to build, train, tune and deploy machine learning (ML) models on AWS. This certification is intended for people who perform development or data science roles and have at least one year of experience in developing, architecting or running Machine Learning/Deep Learning workloads in the AWS Cloud.

A learner should be able to express the intuition behind basic ML algorithms, have experience with ML and deep learning algorithms, and have the ability to follow model-training, deployment and operational best practices. To earn this certification, you’ll need to take and pass the AWS Certified Machine Learning – Specialty exam (MLS-C01)

Course Overview

Level: Specialty
Length: 180 minutes
Cost: 300 USD
Format: 65 questions; either multiple choice or multiple response
Delivery Method: Pearson VUE and PSI; testing center or online proctored 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
  • 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 »

The cost is as follows – Fundamental courses – USD 100, Associate Level Course – USD 150, Professional and Speciality Course – USD 300

You may reach out to us at info@cloudwizard.wpenginepowered.com to get exam voucher alternately you may pay through the payment link available on our website the get the exam voucher code.

The validity of an exam voucher is 1 year from the date of issue

Only one attempt is available.

Candidates must wait two weeks from the original exam date to rebook the next attempt

Exam Readiness

AWS Certified Machine Learning - Speciality

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.

Training

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.

Talk to a Learning Advisor

Please enable JavaScript in your browser to complete this form.

Tablet View

AWS Certified Machine Learning – Speciality

The Machine Learning speciality certification validates an individual’s ability to build, train, tune and deploy machine learning (ML) models on AWS. This certification is intended for people who perform development or data science roles and have at least one year of experience in developing, architecting or running Machine Learning/Deep Learning workloads in the AWS Cloud.

A learner should be able to express the intuition behind basic ML algorithms, have experience with ML and deep learning algorithms, and have the ability to follow model-training, deployment and operational best practices. To earn this certification, you’ll need to take and pass the AWS Certified Machine Learning – Specialty exam (MLS-C01)

Who Should Take This Exam

Intended Audience for the 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 You Need To Do To Get This Certification ?

Certification Requirements :

  • 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
Cost: 300 USD
Format: 65 questions; either multiple choice or multiple response
Delivery Method: Pearson VUE and PSI; testing center or online proctored exam

Talk to a Learning Advisor

Please enable JavaScript in your browser to complete this form.

Exam Readiness

AWS Certified Machine Learning - Speciality

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.

Classroom Training

The Machine learning pipelines on AWS

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.

FAQs

The cost is as follows – Fundamental courses – USD 100, Associate Level Course – USD 150, Professional and Speciality Course – USD 300

You may reach out to us at info@cloudwizard.wpenginepowered.com to get exam voucher alternately you may pay through the payment link available on our website the get the exam voucher code.

The validity of an exam voucher is 1 year from the date of issue

Only one attempt is available.

Candidates must wait two weeks from the original exam date to rebook the next attempt

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