AWS Certified Machine Learning Specialty

AWS Certified Machine Learning Specialty

AWS Certified Machine Learning Specialty is a data science specific certification that validates skills in building, training, tuning, and deploying machine learning (ML) models on the AWS platform. It is apt for data scientists, developers, and machine learning practitioners to validate their knowledge and skills in using AWS services for machine learning workflows, including data preparation, feature engineering, and model optimization. This certification enables professionals to demonstrate their expertise in creating scalable, secure, and cost-effective ML solutions on AWS.
Why is AWS Certified Machine Learning Specialty important?

• Globally recognized leading certification in the domain of AI and ML.
• Attests to your proficiency in building and deploying machine learning models on AWS.
• Validates expertise in applying machine learning concepts and best practices.
• Shows ability to use AWS ML services like SageMaker, Polly, Rekognition, and more.
• Enhances career prospects in machine learning and data science roles.
• Validates skills in scaling ML workflows and optimizing ML models for performance.
• Sows your ability to automate and secure machine learning models on AWS.

Who should take the AWS Certified Machine Learning Specialty Exam?

• Machine Learning Engineer
• Data Scientist
• AI Specialist
• Data Engineer
• Research Scientist
• Software Developer (with ML focus)
• Cloud Architect (with ML specialization)
• Analytics Specialist
• DevOps Engineer (with ML/AI focus)
• Business Intelligence Engineera

AWS Certified Machine Learning Specialty Certification Course Outline
Domain 1: Data Engineering
Domain 2: Exploratory Data Analysis
Domain 3: Modeling
Domain 4: Machine Learning Implementation and Operations