English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 1h 36m | 204 MB
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.
Topics include:
- 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
Table of Contents
Introduction
1 Business solutions with AWS
2 What you should know
Getting to Know Amazon Web Services (AWS)
3 AWS introduction and planning
4 AWS compared to previous IT solutions
5 Measuring the benefits and risks of AWS
6 The AWS global footprint
7 AWS security
8 AWS pricing
9 The AWS Free Tier
10 AWS Cost Management overview
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
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
Mobile Solutions Using AWS
22 Planning AWS for mobile services
23 AWS Mobile Hub
24 AWS Mobile SDK
IoT Approaches with AWS
25 AWS IoT introduction and planning
26 AWS IoT platform
27 AWS Greengrass
AR and VR on AWS
28 Planning AWS AR and VR technology solutions
29 Using AWS Sumerian for AR and VR solutions
Blockchain on AWS
30 Planning an AWS blockchain solution
31 AWS Managed Blockchain
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
Robotics on AWS
36 Robotics overview
37 Introduction to AWS RoboMaker
Conclusion
38 AWS resource teardown
39 Next steps
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