AWS-Machine-Learning
AWS Certified Machine Learning Specialty (2023)
This set of labs is designed to help you learn and prepare for the AWS Certified Machine Learning – Specialty certification exam. This prestigious certification validates a candidate’s comprehensive ability to design, construct, deploy, optimize, train, tune, and maintain Machine Learning (ML) solutions tailored to specific business problems, all within the versatile AWS Cloud environment. This set of labs closely aligns with the AWS Certified Machine Learning – Specialty objectives, providing a well-structured and focused route to support your journey toward achieving this sought-after certification.
The target candidate for the AWS Certified Machine Learning - Specialty exam should be an experienced professional with a strong background in machine learning (ML) or deep learning workloads in the AWS Cloud. Candidates are expected to have a minimum of 2 years of hands-on experience in developing, architecting, and running ML or deep learning workloads within the AWS environment. While there are no strict prerequisites, individuals who are new to AWS are advised to start with the AWS Technical Essentials Learning Path to establish a foundational understanding. Additionally, for candidates looking to enhance their DevOps and automation skills in the context of machine learning, completing the AWS Certified DevOps Engineer - Associate or AWS Certified DevOps Engineer - Professional certifications prior to pursuing the AWS Certified Machine Learning - Specialty can be beneficial.
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