AWS Machine Learning Specialty Practice Exam

AWS Certified Machine Learning Specialty certification exam checks the knowledge of the candidates in planning, applying, deploying, and maintaining machine learning (ML) solutions. However, this exam is best for professionals in the role of development and data science professionals. Further, it also assesses candidate’s skills for creating, training, tuning, and deploying machine learning (ML) models using the AWS Cloud.

Who should take the AWS Machine learning Specialty Exam?

Candidate planning to take the exam must gain one to two years of applied experience in developing, architecting, or running ML/deep learning workloads on the AWS Cloud, together with the ability in expressing the intuition behind basic ML algorithms, experience in executing basic hyperparameter optimization, ML and deep learning frameworks, ability to follow model-training best practices, deployment, and operational best practices

AWS Machine Learning Specialty Course Structure

• Module 1: Learn Data Engineering (20%)
• Module 2: Learn Exploratory Data Analysis (24%)
• Module 3: Learn Modeling (36%)
• Module 4: Learn Machine Learning Implementation and Operations (20%)