AWS Machine Learning & Artificial Intelligence Specialty

About the Program

The intensive 10-week weekend curriculum equips organizations and professionals with the tools to adeptly identify and cultivate talent possessing essential proficiencies vital for implementing successful cloud initiatives.

Earning AWS Certified Machine Learning - Specialty validates expertise in building, training, tuning, and deploying machine learning (ML) models on AWS.

Eligibility Criteria

The AWS Certified Machine Learning - Specialty certification is designed for individuals engaged in development or data science roles, boasting over a year of experience in developing, architecting, or managing machine learning/deep learning tasks within the AWS Cloud environment. Prior to attempting this examination, it is advisable to ensure that you possess.:

• At least two years of direct engagement in the development, architecture, and execution of ML or deep learning tasks within the AWS Cloud infrastructure.

• Capability to effectively communicate the intuition behind elementary machine learning algorithms.

• Hands-on experience in executing fundamental hyperparameter optimization techniques.

• Experience in ML and deep learning frameworks

• Has the ability to follow model-training, deployment, and operational best practices

How to earn this certification?

To obtain this certification, you must successfully complete the AWS Certified Machine Learning - Specialty exam (MLS-C01), which includes both multiple-choice and multiple-response question formats. Further details, including the exam content outline and passing score, are available in the exam guide.

If you are looking for a more detailed syllabus, click below

If you are interested and want to apply, click below.

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