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SEC 1: Introduction to Sagemaker
Introduction to Sagemaker
Download Resources
Sagemaker Features
Intro to the simple end-to-end ML problem
Free Tier Options
SEC 2: Sagemaker Studio
Sagemaker Studio Setup (Live)
Exploring the Studio
How sagemaker works internally
Course Review
SEC 3: Sagemaker Initial Setup
Setting up Boto and sagemaker packages
Execution Role and role of S3
SEC 4: Getting Data into Sagemaker and S3
Begin data preprocessing
How to upload data from S3 from Sagemaker?
SEC 5: Preprocessing Jobs
How to handle compute intensive tasks in dedicated container
Overview of Docker
Preprocessing job - part 1
Preprocessing job - part 2
Why transfer the Python code file to S3
Understanding the arguments for running the processing job
Inspecting Processing Jobs
SEC 6: Sagemaker Experiments
Experiments and Trials
Steps to conduct an experiment in sagemaker
Creating tracker
Create Trial Image
Running training trial for XGBoost Estimator
SEC 7: Model Deployment
Batch processing vs model serving
Real Time Inference
Model Endpoint Part 1 - Creating Model.mp4
Model Endpoint Pt 2 - Create Endpoint Config
Model Endpoint Pt 3 - Create Endpoint and monitor
Remember to delete endpoints
SEC 8: Hyper Parameter Tuning in Sagemaker
Hyper Parameter Tuning with Sagemaker