PDF Version DemoWhat 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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Who should take the Amazon MLS exam
Candidates who have the following should take this exam:
- Select and justify the appropriate ML approach for a given business problem
- Design and implement scalable, cost-optimized, reliable, and secure ML solutions
- Identify appropriate AWS services to implement ML solutions
If a candidate wants significant improvement in career growth needs enhanced knowledge, skills, and talents. TThe AWS Certified Solutions Architect - Associate examination is intended for individuals who perform a solutions architect role and have one or more years of hands-on experience designing available, cost-efficient, fault-tolerant, and scalable distributed systems on AWS.
It asks for following experience:
- Experience with ML and deep learning frameworks
- The ability to follow deployment and operational best practices
- 1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud
- Experience performing basic hyperparameter optimization
- The ability to express the intuition behind basic ML algorithms
- The ability to follow model-training best practices
