- Certification Path Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
- AI
- Cloud
AWS Certified Machine Learning - Specialty (MLS-C01)
The AWS Certified Machine Learning - Specialty is intended for development or data science roles with more than one year of experience developing, architecting, or running machine learning/deep learning workloads in the AWS Cloud.
Content in this path
AWS Certified Machine Learning - Specialty (MLS-C01)
The AWS Certified Machine Learning - Specialty (MLS-C01) path has been designed in line with the domains from the exam guide. You'll find coverage for each of the four domains and their associated task statements in the courses provided. The final course in the path focuses on preparing you for the exam, and will teach you the mindset and thought process of approaching the AWS Certified Machine Learning - Specialty (MLS-C01) exam questions.
Build confidence to ace your certification exam with a variety of prep tools, including video courses, labs, and practice exams.
- Select and justify the appropriate ML approach for a given business problem.
- Identify appropriate AWS services to implement ML solutions.
- Design and implement scalable, cost-optimized, reliable, and secure ML
- solutions.
- At least two years of hands-on experience developing, architecting, and running ML or deep learning workloads in the AWS Cloud
- Ability to express the intuition behind basic ML algorithms
- Experience performing basic hyperparameter optimization
- Experience with ML and deep learning frameworks
- Ability to follow model-training, deployment, and operational best practices
- Machine Learning
- Data Science
- Development
- Cloud Architect
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