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Amazon Web Services: Exploring Business Solutions

Amazon Web Services: Exploring Business Solutions

1h 37mIntermediate2023-10-12

Authors

Ryan Spence

Ryan Spence

Senior Sales Engineer at Lacework

Course details

Are you an IT professional considering making a move to the cloud? If so, this course can help you get up to speed with one of the most popular and powerful cloud solutions on the market—Amazon Web Services (AWS). Instructor Ryan Spence helps to acquaint you with the benefits and drawbacks of AWS, exploring the key services offered by the cloud platform. Ryan discusses how to use AWS for big data work, including the AWS options for warehouse services. He also showcases the platform's backup and recovery options; goes over its mobile service solutions; and covers bringing IoT solutions together with the AWS IoT platform. Plus, he explores emerging technologies, including how to plan robotics, blockchain, and machine learning solutions with AWS.

Learning objectives
Comparing AWS to previous IT solutions
Benefits of AWS
AWS security and pricing
Planning big data solutions on AWS
Cloud storage and databases
Data warehousing
Backing up data
AWS for mobile services
IoT approaches
Augmented reality (AR) and virtual reality (VR) on AWS
Planning AWS blockchain solutions
Deep learning and robotics on AWS

Skills covered

Amazon Web Services (AWS)AmazonCloud ServicesCloud PlatformsCloud ComputingOne-Off

Concepts

0. Introduction

  • 01 - Business solutions with AWS
  • 02 - What you should know

1. Getting to Know Amazon Web Services (AWS)

  • 03 - AWS introduction and planning
  • 04 - AWS compared to previous IT solutions
  • 05 - Measuring the benefits and risks of AWS
  • 06 - The AWS global footprint
  • 07 - AWS security
  • 08 - AWS pricing
  • 09 - The AWS Free Tier
  • 10 - AWS Cost Management overview

2. Building Big Data on AWS

  • 11 - Planning AWS for big data work
  • 12 - AWS cloud storage and databases
  • 13 - AWS big data design patterns
  • 14 - AWS for big data outside organization
  • 15 - AWS for big data inside organization
  • 16 - AWS data warehousing

3. Backing Up Data with AWS

  • 17 - Planning AWS for backup - File storage
  • 18 - AWS for backup - Lifecycle and replication
  • 19 - AWS database backup
  • 20 - AWS office site backup
  • 21 - Restore AWS content backup

4. Mobile Solutions Using AWS

  • 22 - Planning AWS for mobile services
  • 23 - AWS Mobile Hub
  • 24 - AWS Mobile SDK

5. IoT Approaches with AWS

  • 25 - AWS IoT introduction and planning
  • 26 - AWS IoT platform
  • 27 - AWS Greengrass

6. AR and VR on AWS

  • 28 - Planning AWS AR and VR technology solutions
  • 29 - Using AWS Sumerian for AR and VR solutions

7. Blockchain on AWS

  • 30 - Planning an AWS blockchain solution
  • 31 - AWS Managed Blockchain

8. Machine Learning on AWS

  • 32 - Planning AWS machine learning solution
  • 33 - Introduction to AWS SageMaker
  • 34 - AWS text and image recognition
  • 35 - Deep learning on AWS

9. Robotics on AWS

  • 36 - Robotics overview
  • 37 - Introduction to AWS RoboMaker

Conclusion

  • 38 - AWS resource teardown
  • 39 - Next steps

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