AWS CERTIFIED MACHINE LEARNING – SPECIALTY PRACTICE EXAM
AWS Certified Machine Learning – SpecialtyOnline Courses
All Job Seekers
Online and Classroom Sessions
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30 to 45 days
•Learn to use tools in AWS Certified Machine Learning – Specialty .Build and run your first application in AWS Certified Machine Learning – Specialty .
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•Different AWS Certified Machine Learning – Specialty practical questions asked during real time interviews .
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•Students will learn the core concept of making Real Life Project
•Learn AWS Certified Machine Learning – Specialty from Scratch and Achieve Highest Knowledge with Practical Examples
•Learn the absolute basics about AWS Certified Machine Learning – Specialty from scratch and take your skills to another level
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•Advanced Topics covered with examples
•Get Training from Certified Professionals
•Job Placement Assistance with Good Companies
•Immersive hands-on training on Python Programming
• Greater productivity and increased workforce morale
•Courseware that is curated to meet the global requirements
•One-on-one training, online training, team or Corporate training can be provided
•Lifetime access to our 24×7 online support team who will resolve all your technical queries, through ticket based tracking system.
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The AWS Certified Machine Learning—Specialty (MLS-C01) exam 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 machine 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: 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 AWS Knowledge The successful candidate likely has one to two years of hands-on experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud, along with: 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
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