No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Signing into AWS Console

The video tutorial provides a step-by-step guide on creating an AWS account, discussing both free and paid subscription options. It then explores the AWS Management Console, highlighting the vast array of services available, including analytics, machine learning, and developer tools. The tutorial concludes with an introduction to Amazon SageMaker, a key service for machine learning, setting the stage for a more detailed discussion in the next lecture.

What is a benefit of signing up for an AWS free tier account?

• Access to all AWS services without any limitations

• A trial period of 30 days for all services

• The ability to experiment with AWS services at no cost

• Priority customer support

Which of the following is NOT a service category offered by AWS?

• Blockchain

• Business Applications

• Application Integration

• Space Exploration

Approximately how many services does AWS offer?

• 100

• 50

• 500

• 200

What is the AWS Management Console best described as?

• An application for monitoring network traffic

• A simple interface for basic cloud computing tasks

• A feature-rich environment with a wide range of services

• A tool for managing only AWS databases

Under which category does Amazon SageMaker fall in AWS services?

• Blockchain

• Application Integration

• Machine Learning

• Content Delivery