AWS CERTIFIED MACHINE LEARNING – SPECIALTY PRACTICE EXAM
AWS Certified Machine Learning – SpecialtyOnline Courses
Graduates and Technology Aspirants
Regular Offline and Online Live Training
Week Days and Week Ends
Daily 2 hrs during Weekdays
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•Advanced Topics covered with examples
•Exercises and handouts after every session
•Fast Track course available with best Fees
•Regular Brush-up Sessions of the previous classes
•60+ Hours of Intensive Classroom & Online Sessions
•Access to a huge closet containing information about Hadoop
•One-on-one training, online training, team or Corporate training can be provided
•Very in depth course material with Real Time Scenarios for each topic with its Solutions for Online Trainings.
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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