Overview
Welcome to "Amazon SageMaker Getting Started" course. Designed for individuals new to Amazon SageMaker AI, this course offers a comprehensive introduction to its benefits and technical concepts. You'll learn to navigate the AWS Management Console and use a Jupyter notebook instance for training and prediction with a machine learning model.
Course Activities
- Presentations
- Videos
- Knowledge checks
Course Objectives
- Identify the purpose and advantage of Amazon SageMaker AI.
- Understand challenges addressed by SageMaker AI.
- Gain insights into SageMaker AI's key pricing characteristics.
- Learn practical usage of SageMaker AI.
Intended Audience
- Architects
- Machine Learning Engineers
- Data Scientists
Recommended Skills
- Basic Python proficiency
- AWS Technical Essentials knowledge
Course Outline
Module 1: Introduction
- Overview of Amazon SageMaker AI
- Architecture and Use Cases
Module 2: Using Amazon SageMaker AI
- Creating a SageMaker AI Notebook Instance
- Running Sample Code in a SageMaker AI Notebook
Module 3: Resources
- Further Learning Resources
- Contact Us for Support
