AWS Certified Machine Learning - Specialty (MLS-C01)
The AWS Certified Machine Learning - Specialty certification validates your ability to design, implement, and maintain ML solutions on AWS.
Practice with comprehensive exams covering data engineering, exploratory data analysis, modeling, and ML implementation.
Exam Domains Covered
- Domain 1: Data Engineering (20%) - Create data repositories and implement data pipelines
- Domain 2: Exploratory Data Analysis (24%) - Prepare data for modeling
- Domain 3: Modeling (36%) - Frame business problems as ML problems and select appropriate models
- Domain 4: ML Implementation and Operations (20%) - Build and deploy ML solutions
How the 30-Day Path Works
Phase 1: Foundation (Days 1-10)
Build your ML fundamentals with daily quizzes covering data engineering, feature engineering, and SageMaker basics.
Phase 2: Deep Dive (Days 11-20)
Master model selection, training, hyperparameter tuning, and evaluation metrics.
Phase 3: Mastery (Days 21-30)
Complete ML operations, deployment, monitoring, and take full-length practice exams to test your readiness for MLS-C01.
Full-Length Practice Exams
Test your knowledge with 2 practice exams (65 questions each) that simulate the real AWS Certified Machine Learning - Specialty (MLS-C01) exam experience.
Earn Your Certificate
Upon completing the 30-day path and achieving 80% or higher on practice exams, earn your NestedCerts completion certificate for AWS Certified Machine Learning - Specialty (MLS-C01).
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