Recommended Experience
Before registering for the AWS Certified Machine Learning – Specialty exam, the applicant should ensure meeting some prerequisites as stated by the vendor. First, working experience of 1-2 years in running ML workloads as well as their development and architecting on AWS cloud is a must for the candidate. Moreover, it is recommended to have practical skills in executing the hyperparameter optimization, deep learning and ML frameworks, and operational and model-training best practices for AWS Machine learning.
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Exam Details
The Amazon MLS-C01 exam consists of 65 questions that are presented in the multiple-response and multiple-choice formats. These items have to be answered within the allocated time of 170 minutes. It is required that the candidates get 750 points on a scale of 100-1000. This test is available in many languages, including English, Simplified Chinese, Japanese, and Korean. To schedule it, you have to pay the fee of $300.
Career Opportunities
Machine Learning is no doubt one of the hottest topics within the Information Technology sector. Therefore, the Amazon AWS Certified Machine Learning – Specialty certification is simply the key to become a highly regarded certified professional in the field. Those professionals who obtain this certificate can boost their career to a higher level and get a decent salary. They can opt for different job roles, such as a Solutions Architect, a Technical Curriculum Developer, an Electrical Safety Program Manager, a Systems Development Engineer, a Software Development Manager, a Global Ergonomics Engineer, and many more. The average salary can range from $30,000 to $160,000 per year.
What Is Audience for AWS Machine Learning Specialty Certification?
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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