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Overview
Experience AWS SageMaker: A Practical Course with Hands-On Learning, Practice Tests and Certification Preparation What you'll learn: You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloudAWS Built-in algorithms, Bring Your Own, Ready-to-use AI capabilitiesComplete Guide to AWS Certified Machine Learning Specialty (MLS-C01)Includes a high-quality Timed practice test (a lot of courses charge a separate fee for practice test)Zero Downtime Model DeploymentHow to Integrate and Invoke ML from your ApplicationAutomated Hyperparameter...
Syllabus
- Introduction and Housekeeping
- SageMaker Housekeeping
- Machine Learning Concepts
- Model Performance Evaluation
- SageMaker Service Overview
- SageMaker Service and SDK Changes
- XGBoost - Gradient Boosted Trees
- Invoke Model Endpoint from External Clients
- Endpoint Changes with Zero Downtime
- No-Code/Low-Code Solutions in SageMaker: Canvas, Data Wrangler, and AutoPilot
Instructor
Chandra Lingam
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