Getting Started with Amazon SageMaker | Complete Beginner Guide to AWS ML Service

Описание: In this video, you'll learn everything about Amazon SageMaker, AWS's fully managed Machine Learning service used by beginners
to Fortune 500 companies!

Whether you're new to AWS or looking to build and deploy ML models
in the cloud, this tutorial covers all the essentials.
📌 What You'll Learn:
✅ What is Amazon SageMaker?
✅ SageMaker ML Lifecycle Workflow
✅ Key Components (Studio, Notebooks, Training, Endpoints, Autopilot)
✅ SageMaker Pricing Breakdown + Free Tier
✅ Studio vs Studio Classic
✅ Best Practices to Save Costs
✅ Hands-On Notebook Lab

🔗 Useful Links:
► AWS SageMaker Official Docs: https://docs.aws.amazon.com/sagemaker
► AWS Free Tier: https://aws.amazon.com/free
► SageMaker Pricing: https://aws.amazon.com/sagemaker/pricing

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➡️ Subscribe 🔔 to learn more about AI/ML Essentials
➡️ Drop your questions in the comments 💬
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⏱️ Timestamps Below 👇
00:00 Introduction
00:13 What is Amazon SageMaker?
01:47 SageMaker Workflow: The ML Lifecycle
03:24 SageMaker Components Overview
05:25 Exploring the SageMaker AI Console
07:57 Why SageMaker vs DIY on EC2?
10:00 SageMaker Pricing Breakdown
14:35 SageMaker Studio vs Studio Classic
16:50 Best Practices for SageMaker
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