📁 Folder Tree
- 📁 Machine Learning on AWS Deep Dive
- 📂 CHAPTER 01 Introduction
- 📂 01-01 Course Introduction
- 📂 01-02 How to Follow Along with Demos in This Course
- 📂 CHAPTER 02
- 📂 02-01 Section Introduction
- 📂 02-02 SageMaker Canvas Overview
- 📂 02-03 Setting Up SageMaker Canvas
- 📂 02-04 Running Predictions in SageMaker Canvas
- 📂 02-05 SageMaker Studio Lab Overview
- 📂 02-06 Setting Up a SageMaker Studio Lab Account
- 📂 02-07 Exploring the SageMaker Studio Lab Examples
- 📂 02-08 SageMaker Studio Overview
- 📂 02-09 Setting Up SageMaker Studio for Course Demos
- 📂 02-10 Section Summary
- 📂 CHAPTER 03 Preparing Data with SageMaker Data Wrangler and Feature Store
- 📂 03-01 Section Introduction
- 📂 03-02 Importing Data into Data Wrangler
- 📂 03-03 Analyzing and Visualizing Data in Data Wrangler
- 📂 03-04 Transforming Data in Data Wrangler
- 📂 03-05 Exporting Data for Training
- 📂 03-06 Working with the SageMaker Feature Store
- 📂 03-07 Ingesting and Accessing Features in SageMaker Feature Store
- 📂 03-08 Section Summary
- 📂 CHAPTER 04 Building and Training Models with SageMaker Studio
- 📂 04-01 Section Introduction
- 📂 04-02 Using SageMaker's Built-In Algorithms
- 📂 04-03 SageMaker's Algorithms in Action
- 📂 04-04 Using Popular Frameworks
- 📂 04-05 Working in Script Mode with a Framework
- 📂 04-06 Using SageMaker Experiments to Manage Training Jobs
- 📂 04-07 Detecting Bias with SageMaker Clarify
- 📂 04-08 Using SageMaker for Collaboration
- 📂 04-09 Section Summary
- 📂 CHAPTER 05 Deployment and Inference with SageMaker Studio
- 📂 05-01 Section Introduction
- 📂 05-02 Working with SageMaker Batch Transform
- 📂 05-03 Hosting Real-Time Endpoints for Live Inference
- 📂 05-04 Optimizing Machine Learning Deployments
- 📂 05-05 Section Summary
- 📂 CHAPTER 06 Security Best Practices for Machine Learning on AWS
- 📂 06-01 Section Introduction
- 📂 06-02 Securing Your Resources in a VPC
- 📂 06-03 Using the Principle of Least Privilege
- 📂 06-04 Encrypting Data at Rest and in Transit
- 📂 06-05 Protecting Credentials with Secrets Manager
- 📂 06-06 Monitoring Model Input and Output
- 📂 06-07 Enabling Logging for Model Access
- 📂 06-08 Using Version Control on Model Artifacts
- 📂 06-09 Section Summary
- 📂 CHAPTER 07 Conclusion
- 📂 07-01 Course Summary
- 📂 07-02 Conclusion and What's Next