AWS SageMaker — End-to-End ML Platform
Training, tuning, deploying, and monitoring ML models
Author: AI Learning Club Team · Difficulty: Intermediate · Duration: 8 hours · Modules: 11
Modules
- Introduction to SageMaker (60 min)
- SageMaker Studio & Notebooks (60 min)
- Data Preparation with Processing Jobs (60 min)
- Built-in Algorithms (60 min)
- Training Jobs (60 min)
- Hyperparameter Tuning (60 min)
- Model Deployment & Endpoints (60 min)
- SageMaker Pipelines (60 min)
- SageMaker Feature Store (60 min)
- Monitoring & Cost Optimization (60 min)
- Resources & References (2 min)
Frequently Asked Questions
Is the AWS SageMaker — End-to-End ML Platform course free?
Yes, completely free. All 11 modules are accessible without payment. Sign in with Google to track progress and earn a certificate.
What are the prerequisites for AWS SageMaker — End-to-End ML Platform?
No prerequisites. This course starts from the basics and builds up progressively.
How long does AWS SageMaker — End-to-End ML Platform take to complete?
The course takes approximately 8 hours to complete across 11 modules. You can learn at your own pace.
Can I run the code examples in my browser?
Yes. Every module includes a "Open in Google Colab" button that lets you run Python code directly in your browser — no setup needed.
Do I get a certificate after completing AWS SageMaker — End-to-End ML Platform?
Yes. Complete all modules and pass the quizzes to earn a shareable certificate.
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