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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:
- The ability to express the intuition behind basic ML algorithms
- Experience performing basic hyperparameter optimization
- The ability to follow deployment and operational best practices
- The ability to follow model-training best practices
- Experience with ML and deep learning frameworks
- 1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud
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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.
How to Prepare For AWS Certified Machine Learning - Specialty
Preparation Guide for AWS Certified Machine Learning - Specialty
Introduction for AWS Certified Machine Learning - Specialty
The AWS Certified Machine Learning - Specialty (MLS-C01) examination is intended for individuals who perform a development or data science role. This exam validates an examinee's ability to build, train, tune, and deploy learning (ML) models using the AWS Cloud.
It validates an examinee's ability to design, implement, deploy, and maintain ML solutions for given business problems. It will validate the candidate's ability to:
- Design and implement scalable, cost-optimized, reliable, and secure ML solutions
- Select and justify the appropriate ML approach for a given business problem.
- Identify appropriate AWS services to implement ML solutions.
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.
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