AWS Certified Machine Learning – Specialty (MLS-C01)

Course Overview The AWS Certified Machine Learning – Specialty (MLS-C01) course by Stalwart Learning is designed for data scientists, machine learning engineers, and AI enthusiasts who want to deepen their…

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Stalwart Learning

Category

Date & Time

Price

Duration

4.5 Days / 36hrs

Location

https://stalwartlearning.com/

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Course Description

The AWS Certified Machine Learning – Specialty (MLS-C01) course by Stalwart Learning is designed for data scientists, machine learning engineers, and AI enthusiasts who want to deepen their expertise in building and deploying ML solutions on AWS. This course covers key services like SageMaker, Rekognition, and Comprehend, and dives into topics such as data preparation, model training, optimization, and deployment. Through hands-on labs and real-world projects, participants will learn to apply machine learning to solve complex problems and prepare confidently for the MLS-C01 certification exam.

36 hours (4.5 days)

  • Familiarity with machine learning concepts and algorithms.
  • Experience with Python programming and AWS services is recommended.
  • Overview of machine learning and AI services
  • Key principles of ML workflows on AWS
  • Cleaning and preparing datasets with AWS Glue
  • Automating feature engineering using SageMaker Data Wrangler
  • Model training and tuning in SageMaker
  • Hyperparameter optimization techniques
  • Evaluating model accuracy and performance
  • Deploying models with SageMaker endpoints
  • Using AWS Rekognition for computer vision
  • AWS Comprehend for natural language processing
  • Training on large datasets with distributed computing
  • Cost and performance optimization strategies
  • Monitoring ML models in production with SageMaker Model Monitor
  • Automating workflows with AWS Step Functions
  • MLS-C01 exam structure and study strategies
  • Practice tests and real-world scenarios

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