About AWS Certified Machine Learning - Specialty Certification Validate your knowledge and skills in building, training, deploying, monitoring, and optimizing machine learning models on the AWS cloud. Professionals must have at least two years of experience in developing machine learning solutions in the AWS to be eligible for the AWS Machine Learning - Specialty certification exam. Prepare for the MLS-C01 AWS Machine Learning - Specialty exam by taking our AWS Machine Learning training courses.
Abilities Validated by the AWS Certified Machine Learning Certification:
- 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.
Who should take this exam?
AWS Certified Machine Learning - Specialty is intended for individuals who perform a development or data science role and have more than one year of experience developing, architecting, or running machine learning/deep learning workloads in the AWS Cloud. Before you take this exam, we recommend you have:
- 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
Skills Measured:
- Domain 1: Data Engineering (20% of scored content)
- Domain 2: Exploratory Data Analysis (24% of scored content)
- Domain 3: Modeling (36% of scored content)
- Domain 4: Machine Learning Implementation and Operations (20% of scored content)
Exam Overview:
- Length: 180 minutes to complete the exam
- Format: 65 questions, either multiple choice or multiple response
- Delivery Method: Pearson VUE testing center or online proctored exam.
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