Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

CodeSignal

Managing ML Resources in SageMaker AI Console

via CodeSignal

Overview

Master the SageMaker AI Console to efficiently manage your machine learning resources and workflows. Learn to navigate the web console interface for monitoring training jobs, managing endpoints, and organizing model artifacts. Gain practical skills in resource management, cost optimization, endpoint deployment, and setting up comprehensive monitoring and alerts for production ML systems.

Syllabus

  • Unit 1: Navigating Amazon SageMaker AI Console
    • Discovering Your SageMaker AI Console
  • Unit 2: Resource Management Operations
    • Managing Resources in SageMaker AI Console
  • Unit 3: Deploying Models to Production Endpoints
    • Deploying Models in SageMaker AI Console
  • Unit 4: Monitoring Endpoints with CloudWatch Alarms
    • Monitoring Endpoints with CloudWatch Alarms

Reviews

Start your review of Managing ML Resources in SageMaker AI Console

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.