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
Classroom Training
The Machine learning pipelines on AWS
Exam Overview
Talk to a Learning Advisor
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
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
How to Earn 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 »
FAQ
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
Training
Talk to a Learning Advisor
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
Talk to a Learning Advisor
Exam Readiness
AWS Certified Machine Learning - Speciality
Classroom Training
The Machine learning pipelines on AWS
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