AWS Certified Machine Learning (MLS-C01): Practice Exams

aws-certified-machine-learning-mls-c01-practice-exams
This course covers everything you need to pass the exam on your first try

Created by Atharv | AWS Certified Solutions Architect & Developer

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Description
Are you ready to pass the AWS Certified Machine Learning exam? Our Practice Test provide an entire exam’s worth of questions, enabling you to confirm your mastery of the topics and providing you with the confidence you’ll need to take the exam.

The AWS Certified Machine Learning - Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.

Abilities Validated by the Certification

Select and justify the appropriate ML approach for a given business problem

Identify appropriate AWS services to implement ML solutions

Design and implement scalable, cost-optimized, reliable, and secure ML solutions

Recommended Knowledge and Experience

1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud

The ability to express the intuition behind basic ML algorithms

Experience performing basic hyperparameter optimization

Experience with ML and deep learning frameworks

The ability to follow model-training best practices

The ability to follow deployment and operational best practices



Who this course is for:
Machine learning professionals testing their readiness for the AWS Certified Machine Learning Specialty exam.

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