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[FreeCoursesOnline.Me] A Cloud Guru - Automating AWS with Python

[FreeCoursesOnline.Me] A Cloud Guru - Automating AWS with Python

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Description
Lynda and other Courses >>> https://www.freecoursesonline.me/

For Developer Tools & Apps >>> https://ftuapps.com/

Forum for discussion >>> https://1hack.us/







By: Robin Norwood

Publisher: ACloud.Guru

Released: 2020

Course Source: https://acloud.guru/learn/automating-aws-with-python



This course is a project-based approach to learning to automate AWS with Python.



Description



Hello Cloud Gurus,



In this course, you'll learn techniques and strategies for automating AWS with Python:



• Command line scripts

• Lambda functions

• Authentication and permissions

• Creating and managing cloud resources

• Reporting and metrics

• Integrating with third party services

• Image processing



We'll do this through three real-world example projects:



1. Publish a local website to the internet with a single command

2. Notify your Slack team when the size of your EC2 instance fleet autoscales up and down

3. Detect objects and people in a video, and save the results in a database.



This course is designed for beginner to intermediate students who already know some basic Python and what want to get better at Python and improve their understanding of AWS. It's also for people who are using AWS professionally, but not yet using automation extensively. This course will help you understand how to automate AWS, use the boto3 library to manage AWS resources, coordinate processes and workflows, package and deploy code.



EXPECTED OUTCOMES



• Create Python commandline scripts and lambda functions

• Use the boto3 library to manage AWS resources

• Integrate your AWS infrastructure with third party services and APIs

• Use services and libraries to do more with less code

• Package and deploy your code so that it can be shared and re-used

• How to schedule and trigger your automation based on time and events

• Process and sanitize data

• Coordinate multi-step processes and workflows

• Set up and deploy machine-learning pipelines



INTENDED AUDIENCE



• Anyone who wants to automate parts of their job managing AWS.

• Operations people



PREREQUISITES



• Mac or Windows PC

• AWS account or credit card to sign up



About Author



Robin Norwood



I am a product manager, developer, and leader with over 15 years of experience building products and services for some of the world's greatest technology companies, including Rackspace and Red Hat.








File list
  • [FreeCoursesOnline.Me] A Cloud Guru - Automating AWS with Python
  • 0. Websites you may like/How you can help our Group!.txt 208 B
  • 01 Getting Started/001 Course Introduction.mp4 14.2 MB
  • 01 Getting Started/002 Machine Setup Mac.mp4 79.3 MB
  • 01 Getting Started/003 Machine Setup Windows.mp4 42.4 MB
  • 01 Getting Started/003 Software list Windows.Software list Windows 644 B
  • 01 Getting Started/004 Set up AWS account.mp4 25 MB
  • 01 Getting Started/005 AWS Certificate Manager (ACM).html 14.4 KB
  • 01 Getting Started/005 Set up DNS and SSL.mp4 33.6 MB
  • 01 Getting Started/006 Git commit for this lecture.txt 315 B
  • 01 Getting Started/006 GitHub.txt 60 B
  • 01 Getting Started/006 Learning Git.txt 204 B
  • 01 Getting Started/006 Set up Git repository.mp4 18 MB
  • 02 First Project Publish a website to S3/001 Project Summary.mp4 7.7 MB
  • 02 First Project Publish a website to S3/002 Boto3 homepage.txt 120 B
  • 02 First Project Publish a website to S3/002 Getting started with pipenv and boto3.mp4 91.8 MB
  • 02 First Project Publish a website to S3/002 Git commit for this lecture.txt 315 B
  • 02 First Project Publish a website to S3/002 Pipenv Homepage.txt 138 B
  • 02 First Project Publish a website to S3/003 Click Website.txt 78 B
  • 02 First Project Publish a website to S3/003 Git commit for this lecture.txt 315 B
  • 02 First Project Publish a website to S3/003 Script skeleton configure boto3 and command line arguments.mp4 48.4 MB
  • 02 First Project Publish a website to S3/004 AWS Docs Website endpoints by region.txt 255 B
  • 02 First Project Publish a website to S3/004 AWS Docs Website endpoints.html 30 KB
  • 02 First Project Publish a website to S3/004 AWS Docs Website hosting policy.html 31.9 KB
  • 02 First Project Publish a website to S3/004 Boto3 Docs Upload file.txt 264 B
  • 02 First Project Publish a website to S3/004 Create and configure S3 bucket.mp4 103.9 MB
  • 02 First Project Publish a website to S3/004 Git commit for this lecture.txt 315 B
  • 02 First Project Publish a website to S3/004 RFC 2616 Content Type.txt 150 B
  • 02 First Project Publish a website to S3/005 Git commit for this lecture.txt 315 B
  • 02 First Project Publish a website to S3/005 kitten_web.zip 166.9 KB
  • 02 First Project Publish a website to S3/005 Python Docs Pathlib.html 133.2 KB
  • 02 First Project Publish a website to S3/005 Sync directory tree to S3.mp4 81.2 MB
  • 02 First Project Publish a website to S3/006 Git commit for pycodestylepydocstylepylint.txt 315 B
  • 02 First Project Publish a website to S3/006 Github commit for refactor.txt 315 B
  • 02 First Project Publish a website to S3/006 PEP 8.txt 126 B
  • 02 First Project Publish a website to S3/006 pycodestyle.txt 114 B
  • 02 First Project Publish a website to S3/006 pydocstyle.txt 135 B
  • 02 First Project Publish a website to S3/006 pylint docs.txt 105 B
  • 02 First Project Publish a website to S3/006 Refactor the script.mp4 160.6 MB
  • 02 First Project Publish a website to S3/007 AWS E-Tag Discussion.txt 372 B
  • 02 First Project Publish a website to S3/007 AWS E-Tags.txt 243 B
  • 02 First Project Publish a website to S3/007 AWS S3 Multipart Chunk Size.txt 240 B
  • 02 First Project Publish a website to S3/007 Boto3 Configuration.txt 252 B
  • 02 First Project Publish a website to S3/007 Boto3 S3 Customization.html 15.8 KB
  • 02 First Project Publish a website to S3/007 Boto3 S3 Transfer Config.txt 312 B
  • 02 First Project Publish a website to S3/007 Git commit to output website hostname.txt 315 B
  • 02 First Project Publish a website to S3/007 Github commit to not upload files that havent changed.txt 315 B
  • 02 First Project Publish a website to S3/007 Miscellaneous features.mp4 175.8 MB
  • 02 First Project Publish a website to S3/008 Boto3 Docs - Create Hosted Zone.txt 315 B
  • 02 First Project Publish a website to S3/008 Configure DNS with Route 53.mp4 125.7 MB
  • 02 First Project Publish a website to S3/008 Github commit for this lecture.txt 315 B
  • 02 First Project Publish a website to S3/009 Git commit for this lecture.txt 315 B
  • 02 First Project Publish a website to S3/009 Publish to a CDN with Cloud Front SSL Support.mp4 174.2 MB
  • 02 First Project Publish a website to S3/010 Git commit for this lecture.txt 315 B
  • 02 First Project Publish a website to S3/010 Packaging.mp4 39.6 MB
  • 02 First Project Publish a website to S3/010 Python Setuptools docs.txt 135 B
  • 03 Second Project Notifications for Cloud Watch events/001 Project Summary.mp4 6.2 MB
  • 03 Second Project Notifications for Cloud Watch events/002 Boto3 Docs Create a keypair.txt 309 B
  • 03 Second Project Notifications for Cloud Watch events/002 Configure EC2.mp4 145 MB
  • 03 Second Project Notifications for Cloud Watch events/002 Git commit for this lecture.txt 315 B
  • 03 Second Project Notifications for Cloud Watch events/003 Autoscale events and Cloud Watch.mp4 88.1 MB
  • 03 Second Project Notifications for Cloud Watch events/003 AWS Docs - Cloudwatch events.html 48.4 KB
  • 03 Second Project Notifications for Cloud Watch events/003 Boto3 Docs - Autoscale.html 663.3 KB
  • 03 Second Project Notifications for Cloud Watch events/003 Git commit for this lecture.txt 315 B
  • 03 Second Project Notifications for Cloud Watch events/004 The Serverless framework.mp4 54.2 MB
  • 03 Second Project Notifications for Cloud Watch events/005 Sign up and configure slack.mp4 25.6 MB
  • 03 Second Project Notifications for Cloud Watch events/005 Slack webhook docs.txt 120 B
  • 03 Second Project Notifications for Cloud Watch events/006 Git commit for lambda to post to slack.txt 315 B
  • 03 Second Project Notifications for Cloud Watch events/006 Git commit for Serverless notifier project.txt 315 B
  • 03 Second Project Notifications for Cloud Watch events/006 Git commit to configure notifier service.txt 315 B
  • 03 Second Project Notifications for Cloud Watch events/006 Git commit to post to slack example.txt 315 B
  • 03 Second Project Notifications for Cloud Watch events/006 Send notification to slack.mp4 81.6 MB
  • 03 Second Project Notifications for Cloud Watch events/006 Serverless Python Packaging.txt 171 B
  • 03 Second Project Notifications for Cloud Watch events/006 Serverless Python Requirements.txt 183 B
  • 04 Third Project Analyze videos with Rekognition/001 Project Summary.mp4 10.4 MB
  • 04 Third Project Analyze videos with Rekognition/002 AWS Rekognition Docs.txt 144 B
  • 04 Third Project Analyze videos with Rekognition/002 Boto3 Docs - Rekognition.html 687.6 KB
  • 04 Third Project Analyze videos with Rekognition/002 Git commit for this lecture.txt 315 B
  • 04 Third Project Analyze videos with Rekognition/002 Intro to Rekognition.mp4 58.4 MB
  • 04 Third Project Analyze videos with Rekognition/002 Pexels Videos.txt 81 B
  • 04 Third Project Analyze videos with Rekognition/003 AWS Docs - Rekognition Videos.html 29.3 KB
  • 04 Third Project Analyze videos with Rekognition/003 AWS Docs - S3 Event structure.html 30 KB
  • 04 Third Project Analyze videos with Rekognition/003 AWS Docs - S3 Event types.txt 360 B
  • 04 Third Project Analyze videos with Rekognition/003 Git commit for this lecture.txt 315 B
  • 04 Third Project Analyze videos with Rekognition/003 S3 events and serverless.mp4 58.3 MB
  • 04 Third Project Analyze videos with Rekognition/003 Serverless Docs - S3 events.txt 189 B
  • 04 Third Project Analyze videos with Rekognition/004 AWS Docs - Cloudformation intrinsic functions (FnJoin).html 24.9 KB
  • 04 Third Project Analyze videos with Rekognition/004 AWS Docs - S3 event structure.html 30 KB
  • 04 Third Project Analyze videos with Rekognition/004 Git commit for this lecture.txt 315 B
  • 04 Third Project Analyze videos with Rekognition/004 Start Rekognition job.mp4 81.9 MB
  • 04 Third Project Analyze videos with Rekognition/005 Boto3 Docs - Rekognition start label detection.txt 348 B
  • 04 Third Project Analyze videos with Rekognition/005 Git commit for this lecture.txt 315 B
  • 04 Third Project Analyze videos with Rekognition/005 Integrate SNS.mp4 74.5 MB
  • 04 Third Project Analyze videos with Rekognition/006 AWS Docs - Cloudformation DynamoDB Table.html 67.8 KB
  • 04 Third Project Analyze videos with Rekognition/006 Boto3 Docs - Rekognition get label detection.txt 342 B
  • 04 Third Project Analyze videos with Rekognition/006 Git commit for this lecture.txt 315 B

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