AWS Certified Machine Learning - Specialty
Design, implement, deploy, and maintain machine learning solutions for given business problems.
Exam Topics
Data engineering
Exploratory data analysis
Modeling
Machine learning implementation and operations
Prerequisites
2+ years ML/deep learning experience on AWS
Our Preparation Approach
Structured Curriculum
Aligned with latest exam objectives and updated for current exam patterns
Hands-On Labs
Practical exercises using real cloud environments and enterprise scenarios
Practice Exams
Mock exams modeled on real questions with detailed answer explanations
Expert Guidance
Learn from a trainer with 16+ active certifications and 98% student pass rate
Frequently Asked Questions
What is the MLS-C01 AWS Certified Machine Learning - Specialty certification?
Design, implement, deploy, and maintain machine learning solutions for given business problems.
How long is the MLS-C01 exam?
The MLS-C01 exam duration is 180 minutes. The passing score is 750/1000. The exam fee is $300 USD.
What topics does the MLS-C01 exam cover?
The MLS-C01 exam covers: Data engineering; Exploratory data analysis; Modeling; Machine learning implementation and operations.
What are the prerequisites for MLS-C01?
Prerequisites include: 2+ years ML/deep learning experience on AWS.
How long is the MLS-C01 certification valid?
The MLS-C01 certification is valid for 3 years.
Does Gennoor Tech offer MLS-C01 preparation training?
Yes, we offer expert-led MLS-C01 preparation with hands-on labs, practice exams, and personalized guidance. Our trainer holds 16+ active certifications with a 98% student pass rate across all exams.
Other AWS Certifications
AWS Certified Cloud Practitioner
Validate overall understanding of the AWS Cloud, independent of specific technical roles.
AWS Certified AI Practitioner
Validate knowledge of AI, machine learning, and generative AI concepts and use cases on AWS.
AWS Certified Machine Learning Engineer - Associate
Build, deploy, and maintain machine learning solutions in the AWS Cloud for business problems.
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