MLS-C01: AWS Certified Machine Learning - Specialty

About this course

The AWS Certified Machine Learning - Specialty certification is aimed towards individuals who work in a development or data science role and have at least one year of experience in developing, architecting, or running machine learning or deep learning workloads on the AWS Cloud. To prepare for the certification exam, it is recommended that candidates have a minimum of two years of hands-on experience in developing, architecting, and running ML or deep learning workloads on AWS.In addition to technical skills, a candidate should have a strong understanding of basic ML algorithms and the ability to express their intuition. They should also have experience with performing basic hyperparameter optimization and working with ML and deep learning frameworks. Moreover, candidates should be able to follow best practices for model training, deployment, and operation.Overall, achieving the AWS Certified Machine Learning - Specialty certification demonstrates a high level of expertise in developing, architecting, and running machine learning and deep learning workloads on the AWS Cloud. This certification validates that an individual has the skills and knowledge required to design and implement AWS services to build intelligent solutions, and to perform model training, evaluation, and deployment in a production environment.Obtaining the AWS Certified Machine Learning - Specialty certification verifies a professional's proficiency in constructing, training, fine-tuning, and deploying machine learning (ML) models on AWS. This credential aids organizations in recognizing and fostering individuals with crucial abilities for executing cloud initiatives.

Course objectives

• prepare for the AWS Certified Machine Learning - Specialty certification
• develop expertise in architecting ML solutions on AWS
• apply best practices for ML model training and deployment