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The AWS Certified Machine Learning Specialty certificate is intended for programmers, data scientists, and other candidates passionate about machine learning who want to learn how to use the benefits of artificial intelligence capabilities on the AWS platform. The training process necessary for obtaining this certification helps examinees develop the right skills to build, train, and deploy machine learning models using advanced AWS Cloud services. Candidates can achieve this certificate by obtaining the passing score in MLS-C01 exam. Even though this test doesn't have any mandatory requirements, the vendor recommends that candidates should have previous knowledge of certain topics. A successful applicant is one who has between 1 to 2 years of practical experience in developing, running and architecting ML and deep learning workloads on the AWS Cloud. Also, it would be helpful if the candidate would have prior experience performing basic hyperparameter optimization and know how to follow model-training and operational best practices.
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Although it is recommended to read all the related whitepapers and learn all the concepts and strategies from them, you can also learn quickly from AMAZON MLS-C01 practice exam and AMAZON MLS-C01 practice exams. AWS has just updated the whitepapers of the Well-Architected Framework and the Five Pillars. If you have sufficient time, reading those whitepapers will be a great supplement to your exam preparations and will help you gain a better understanding of the different AWS services.
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