A Cloud Guru | Automating AWS with Python [FCO]
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| 0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url | 409.6 B | ||
| 001 Course Introduction.mp4 | 14.2 MB | ||
| 001 Project Summary.mp4 | 10.4 MB | ||
| 002 AWS Rekognition Docs.txt | 102.4 B | ||
| 002 Boto3 Docs - Rekognition.html | 687.6 KB | ||
| 002 Boto3 Docs Create a keypair.txt | 307.2 B | ||
| 002 Boto3 homepage.txt | 102.4 B | ||
| 002 Configure EC2.mp4 | 145 MB | ||
| 002 Getting started with pipenv and boto3.mp4 | 91.8 MB | ||
| 002 Git commit for this lecture.txt | 307.2 B | ||
| 002 Intro to Rekognition.mp4 | 58.4 MB | ||
| 002 Machine Setup Mac.mp4 | 79.3 MB | ||
| 002 Pexels Videos.txt | 102.4 B | ||
| 002 Pipenv Homepage.txt | 102.4 B | ||
| 003 AWS Docs - Cloudwatch events.html | 48.4 KB | ||
| 003 AWS Docs - Rekognition Videos.html | 29.3 KB | ||
| 003 AWS Docs - S3 Event structure.html | 30 KB | ||
| 003 AWS Docs - S3 Event types.txt | 409.6 B | ||
| 003 Autoscale events and Cloud Watch.mp4 | 88.1 MB | ||
| 003 Boto3 Docs - Autoscale.html | 663.3 KB | ||
| 003 Click Website.txt | 102.4 B | ||
| 003 Git commit for this lecture.txt | 307.2 B | ||
| 003 Machine Setup Windows.mp4 | 42.4 MB | ||
| 003 S3 events and serverless.mp4 | 58.3 MB | ||
| 003 Script skeleton configure boto3 and command line arguments.mp4 | 48.4 MB | ||
| 003 Serverless Docs - S3 events.txt | 204.8 B | ||
| 003 Software list Windows.Software list Windows | 614.4 B | ||
| 004 AWS Docs - Cloudformation intrinsic functions (FnJoin).html | 24.9 KB | ||
| 004 AWS Docs - S3 event structure.html | 30 KB | ||
| 004 AWS Docs Website endpoints by region.txt | 204.8 B | ||
| 004 AWS Docs Website endpoints.html | 30 KB | ||
| 004 AWS Docs Website hosting policy.html | 31.9 KB | ||
| 004 Boto3 Docs Upload file.txt | 307.2 B | ||
| 004 Create and configure S3 bucket.mp4 | 103.9 MB | ||
| 004 Git commit for this lecture.txt | 307.2 B | ||
| 004 RFC 2616 Content Type.txt | 102.4 B | ||
| 004 Set up AWS account.mp4 | 25 MB | ||
| 004 Start Rekognition job.mp4 | 81.9 MB | ||
| 004 The Serverless framework.mp4 | 54.2 MB | ||
| 005 AWS Certificate Manager (ACM).html | 14.4 KB | ||
| 005 Boto3 Docs - Rekognition start label detection.txt | 307.2 B | ||
| 005 Git commit for this lecture.txt | 307.2 B | ||
| 005 Integrate SNS.mp4 | 74.5 MB | ||
| 005 Python Docs Pathlib.html | 133.2 KB | ||
| 005 Set up DNS and SSL.mp4 | 33.6 MB | ||
| 005 Sign up and configure slack.mp4 | 25.6 MB | ||
| 005 Slack webhook docs.txt | 102.4 B | ||
| 005 Sync directory tree to S3.mp4 | 81.2 MB | ||
| 005 kitten_web.zip | 166.9 KB | ||
| 006 AWS Docs - Cloudformation DynamoDB Table.html | 67.8 KB | ||
| 006 Boto3 Docs - Rekognition get label detection.txt | 307.2 B | ||
| 006 Git commit for Serverless notifier project.txt | 307.2 B | ||
| 006 Git commit for lambda to post to slack.txt | 307.2 B | ||
| 006 Git commit for pycodestylepydocstylepylint.txt | 307.2 B | ||
| 006 Git commit for this lecture.txt | 307.2 B | ||
| 006 Git commit to configure notifier service.txt | 307.2 B | ||
| 006 Git commit to post to slack example.txt | 307.2 B | ||
| 006 GitHub.txt | 102.4 B | ||
| 006 Github commit for refactor.txt | 307.2 B | ||
| 006 Learning Git.txt | 204.8 B | ||
| 006 PEP 8.txt | 102.4 B | ||
| 006 Refactor the script.mp4 | 160.6 MB | ||
| 006 Save data to DynamoDB Part 1.mp4 | 84.5 MB | ||
| 006 Send notification to slack.mp4 | 81.6 MB | ||
| 006 Serverless Python Packaging.txt | 204.8 B | ||
| 006 Serverless Python Requirements.txt | 204.8 B | ||
| 006 Set up Git repository.mp4 | 18 MB | ||
| 006 pycodestyle.txt | 102.4 B | ||
| 006 pydocstyle.txt | 102.4 B | ||
| 006 pylint docs.txt | 102.4 B | ||
| 007 AWS Docs - DynamoDB data type limits.txt | 307.2 B | ||
| 007 AWS E-Tag Discussion.txt | 409.6 B | ||
| 007 AWS E-Tags.txt | 204.8 B | ||
| 007 AWS S3 Multipart Chunk Size.txt | 204.8 B | ||
| 007 Boto3 Configuration.txt | 204.8 B | ||
| 007 Boto3 S3 Customization.html | 15.8 KB | ||
| 007 Boto3 S3 Transfer Config.txt | 307.2 B | ||
| 007 Git commit for this lecture.txt | 307.2 B | ||
| 007 Git commit to output website hostname.txt | 307.2 B | ||
| 007 Github commit to not upload files that havent changed.txt | 307.2 B | ||
| 007 Miscellaneous features.mp4 | 175.8 MB | ||
| 007 Python Docs - Floating point limitations.html | 32.3 KB | ||
| 007 Python Docs - Numeric data types.txt | 204.8 B | ||
| 007 Save data to DynamoDB Part 2.mp4 | 162.2 MB | ||
| 008 Boto3 Docs - Create Hosted Zone.txt | 307.2 B | ||
| 008 Configure DNS with Route 53.mp4 | 125.7 MB | ||
| 008 Github commit for this lecture.txt | 307.2 B | ||
| 008 Last lecture.mp4 | 6.6 MB | ||
| 009 Git commit for this lecture.txt | 307.2 B | ||
| 009 Publish to a CDN with Cloud Front SSL Support.mp4 | 174.2 MB | ||
| 010 Git commit for this lecture.txt | 307.2 B | ||
| 010 Packaging.mp4 | 39.6 MB | ||
| 010 Python Setuptools docs.txt | 102.4 B | ||
| 1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url | 307.2 B | ||
| 2. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, & more.etc.url | 204.8 B | ||
| 3. (FTUApps.com) Download Cracked Developers Applications For Free.url | 204.8 B | ||
| How you can help our Group!.txt | 204.8 B | ||
| ▲ 106 total files | |||
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.
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