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AWS Certified Machine Learning – Specialty (MLS-C01) Cert Prep: 4 Machine Learning Implementation and Operations

Via LinkedIn Learning

LinkedIn Learning based on 59 ratings

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Overview

“AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 4 Machine Learning Implementation and Operations” is a focused course module designed to prepare learners for the critical phase of deploying and managing machine learning models on AWS. This course emphasizes practical skills needed to implement, monitor, and optimize ML models in production environments. Participants learn how to use AWS services like Amazon Sage Maker for model deployment, AWS Lambda for event-driven automation, and Amazon Cloud Watch for monitoring model performance...

Syllabus

Introduction

  • Overview

1. Build ML Solutions for Performance, Availability, Scalability, Resiliency, and Fault

  • AWS environment logging and monitoring
  • Multiple regions, multiple AZs
  • Reproducible workflows
  • AWS flavored DevOps

2. Recommend and Implement the Appropriate ML Services and Features for a Given Problem

  • Provisioning EC2
  • Compute choices
  • Provisioning EBS
  • AWS AI machine learning services

3. Apply Basic AWS Security Practices to Machine Learning Solutions

  • Principle of least privilege (PLP)
  • Integrated security

4. Deploy and Operationalize Machine Learning Solutions

  • SageMaker workflow
  • Predictions with SageMaker Canvas
  • Retraining models

Conclusion

  • Summary
AWS Certified Machine Learning – Specialty (MLS-C01) Cert Prep: 4 Machine Learning Implementation and Operations
Go to Class

via LinkedIn Learning

26 minutes

Certificate Available

English

On-Demand

Instructor

Noah Gift

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