AWS Certified Machine Learning (MLS-C01): Practice Exams[100% FREE || LIMITED TIME ONLY]

Requirements

• 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

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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