As one of the six specialty level certifications offered by AWS, it is recommended for professionals experienced in developing, architecting, or running machine learning workloads on AWS.
AWS Certified Machine Learning Specialty
This 9+ hour training program includes a video course, 5 section quizzes, and practice tests, providing a comprehensive understanding of the AWS Machine Learning exam.
AWS Certified Machine Learning – Specialty (MLS-C01)
This path encompasses data engineering, exploratory data analysis, modeling, machine learning implementation, and operations, providing essential information and resources for the exam.
AWS Certified Machine Learning Specialty 2023 - Hands On!
This 11-hour video course includes a 30-minute quick assessment practice exam, four hands-on labs for model tuning, feature engineering, and data engineering, allowing you to gain valuable experience and practice the topics and style of the real exam.
AWS Machine Learning Training
This skill track will teach you how to apply machine learning, artificial intelligence, and deep learning, while also preparing you for the certification exam.
Become a Machine Learning Engineer
You'll master the skills necessary to become a successful Machine Learning Engineer by learning data science and machine learning techniques, and building and deploying machine learning models in production using Amazon SageMaker.
AWS Machine Learning Certification — Specialty
The AWS Certified Machine Learning Specialty certification is intended for ML Engineers and data scientists who want to validate their skills and expertise on the AWS platform.
Holding a Specialty credential not only validates your skills but also provides you with access to exclusive AWS resources, such as webinars, whitepapers, and practice exams, to help you stay up-to-date with the latest industry trends and best practices.
To prepare for the certification exam, you can access various resources, such as exam blueprints, online courses, and whitepapers, to gain a comprehensive understanding of AWS Machine Learning services and platforms. You need to be proficient in using AWS services, such as Amazon SageMaker, AWS Glue, and Amazon Rekognition, to build, train, and deploy machine learning models.
Is it right for you?
It is open to all data science and machine learning practitioners and can help you stand out in the competitive job market by certifying your expertise in building and deploying ML solutions on AWS.
The exam tests your understanding of core concepts related to machine learning and deep learning and requires you to demonstrate your ability to explain the intuition behind machine learning algorithms.
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