Amazon SageMaker Getting Started

Übersicht

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

Fachgebiete