Machine Learning Prerequisites
- Course Introduction
- Prerequisites
- ML Basics Fundamentals of Model Training and Inference
- ML Basics Fundamentals of Model Training and Inference Part 2
- ML Pipeline
- How Much Math Do I Need
- How Much Math Do I Need Part 2
- How Much Math Do I Need Part 3
- Why is SageMaker Intimidating
- Why Learn SageMaker by Persona
- Why Learn SageMaker by Persona Part 2
SageMaker Introduction
- SageMaker What Makes it a Managed Service
- Introduction to Jupyter Notebooks
- Introduction to Jupyter Notebooks Part 2
- Demo Jupyter Notebooks
- The SageMaker SDK for Python Why not boto3
SageMaker User Interface
- Navigating the UI
- Demo Navigating the UI
- SageMaker Domains and SageMaker Studio
- SageMaker Domains and SageMaker Studio Part 2
- SageMaker Domains and SageMaker Studio Part 3
- Options for Collaboration in SageMaker Studio
- Code Editor Alternative to JupyterLab
- Code Editor Alternative to JupyterLab Part 2
- SageMaker Studio Classic vs SageMaker Studio New
Persona SageMaker Activities - Data Engineer
- Tabular Data Preparation
- SageMaker Canvas Low Code Data Preparation and ML Training
- SageMaker Canvas Low Code Data Preparation and ML Training Part 2
- Demo SageMaker Canvas Data Wrangler
- Demo SageMaker Canvas Data Wrangler Part 2
- Demo SageMaker Canvas AutoML
- SageMaker Data Processing Jobs
Persona SageMaker Activities - Data Scientist
- An Introduction to Feature Engineering
- An Introduction to Feature Engineering Part 2
- Demo Feature Engineering in SageMaker Studio
- Training Model in SageMaker Studio and Monitoring Training Jobs
- Training Model in SageMaker Studio and Monitoring Training Jobs Part 2
- Training Model in SageMaker Studio and Monitoring Training Jobs Part 3
- Demo Training Your Model in SageMaker Studio Using Python SDK
- Introduction to Experiment Management
- Optimizing the Training Process with Automation
- Keeping Track of Models Using the SageMaker Model Registry
- Keeping Track of Models Using the SageMaker Model Registry Part 2
- Demo Keeping Track of Models Using the SageMaker Model Registry
Persona SageMaker Activities - MLOps Engineer
- Options to Host a Model for Inference
- Options to Host a Model for Inference Part 2
- Advanced Inference Options
- Advanced Inference Options Part 2
- Advanced Inference Options Part 3
- Demo Deploy a Hosted Model Using SageMaker Endpoints
- Demo Deploy a Hosted Model Using SageMaker Endpoints Part 2
- Automate ML Pipeline with SageMaker Pipeline
- End to End CICD ML Pipelines from SageMaker Project Templates
- Demo End to End CICD ML Pipelines from SageMaker Project Templates
- Monitoring and Observability
- Monitoring and Observability Part 2
- Demo Add Monitoring to Deployed Model
Wrap Up
- Demystifying Advanced SageMaker
- Demystifying Advanced SageMaker Part 2
- Demystifying Advanced SageMaker Part 3
- Whats New for 2025
- Is SageMaker Demystified for You