TGx:A Cloud Guru | Automating AWS with Python [FCO]

Hot Picks

First Cam

New Movies

1080p x265

New TV

Misc

Torrent details for "A Cloud Guru | Automating AWS with Python [FCO]" Log in to bookmark

Quicknav > Description Read comments 0 Post guest comment

Torrent details

Name:

A Cloud Guru | Automating AWS with Python [FCO]

Controls:

Report Torrent

Torrent verified by Prom3th3uS

Category:

Other > Training

Language:

English

Total Size:

2.11 GB

Info Hash:

d46e70ce30c41a3dd4b24fb73a4156f0a367bfe0

Added By:

Prom3th3uS :_verified_uploader:

Added:

15-05-2020 16:25

Views:

1,735

Update stats Post guest comment 0

Health:

Seeds:

Leechers:

Completed:

281

File	Size
0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url	377.00 B
0. Websites you may like/1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url	286.00 B
0. Websites you may like/2. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, & more.etc.url	163.00 B
0. Websites you may like/3. (FTUApps.com) Download Cracked Developers Applications For Free.url	239.00 B
0. Websites you may like/How you can help our Group!.txt	208.00 B
01 Getting Started/001 Course Introduction.mp4	14.24 MB
01 Getting Started/002 Machine Setup Mac.mp4	79.30 MB
01 Getting Started/003 Machine Setup Windows.mp4	42.39 MB
01 Getting Started/003 Software list Windows.Software list Windows	644.00 B
01 Getting Started/004 Set up AWS account.mp4	25.00 MB
01 Getting Started/005 AWS Certificate Manager (ACM).html	14.43 kB
01 Getting Started/005 Set up DNS and SSL.mp4	33.64 MB
01 Getting Started/006 Git commit for this lecture.txt	315.00 B
01 Getting Started/006 GitHub.txt	60.00 B
01 Getting Started/006 Learning Git.txt	204.00 B
01 Getting Started/006 Set up Git repository.mp4	17.98 MB
02 First Project Publish a website to S3/001 Project Summary.mp4	7.72 MB
02 First Project Publish a website to S3/002 Boto3 homepage.txt	120.00 B
02 First Project Publish a website to S3/002 Getting started with pipenv and boto3.mp4	91.82 MB
02 First Project Publish a website to S3/002 Git commit for this lecture.txt	315.00 B
02 First Project Publish a website to S3/002 Pipenv Homepage.txt	138.00 B
02 First Project Publish a website to S3/003 Click Website.txt	78.00 B
02 First Project Publish a website to S3/003 Git commit for this lecture.txt	315.00 B
02 First Project Publish a website to S3/003 Script skeleton configure boto3 and command line arguments.mp4	48.42 MB
02 First Project Publish a website to S3/004 AWS Docs Website endpoints by region.txt	255.00 B
02 First Project Publish a website to S3/004 AWS Docs Website endpoints.html	29.97 kB
02 First Project Publish a website to S3/004 AWS Docs Website hosting policy.html	31.88 kB
02 First Project Publish a website to S3/004 Boto3 Docs Upload file.txt	264.00 B
02 First Project Publish a website to S3/004 Create and configure S3 bucket.mp4	103.94 MB
02 First Project Publish a website to S3/004 Git commit for this lecture.txt	315.00 B
02 First Project Publish a website to S3/004 RFC 2616 Content Type.txt	150.00 B
02 First Project Publish a website to S3/005 Git commit for this lecture.txt	315.00 B
02 First Project Publish a website to S3/005 kitten_web.zip	166.89 kB
02 First Project Publish a website to S3/005 Python Docs Pathlib.html	133.23 kB
02 First Project Publish a website to S3/005 Sync directory tree to S3.mp4	81.21 MB
02 First Project Publish a website to S3/006 Git commit for pycodestylepydocstylepylint.txt	315.00 B
02 First Project Publish a website to S3/006 Github commit for refactor.txt	315.00 B
02 First Project Publish a website to S3/006 PEP 8.txt	126.00 B
02 First Project Publish a website to S3/006 pycodestyle.txt	114.00 B
02 First Project Publish a website to S3/006 pydocstyle.txt	135.00 B
02 First Project Publish a website to S3/006 pylint docs.txt	105.00 B
02 First Project Publish a website to S3/006 Refactor the script.mp4	160.55 MB
02 First Project Publish a website to S3/007 AWS E-Tag Discussion.txt	372.00 B
02 First Project Publish a website to S3/007 AWS E-Tags.txt	243.00 B
02 First Project Publish a website to S3/007 AWS S3 Multipart Chunk Size.txt	240.00 B
02 First Project Publish a website to S3/007 Boto3 Configuration.txt	252.00 B
02 First Project Publish a website to S3/007 Boto3 S3 Customization.html	15.82 kB
02 First Project Publish a website to S3/007 Boto3 S3 Transfer Config.txt	312.00 B
02 First Project Publish a website to S3/007 Git commit to output website hostname.txt	315.00 B
02 First Project Publish a website to S3/007 Github commit to not upload files that havent changed.txt	315.00 B
02 First Project Publish a website to S3/007 Miscellaneous features.mp4	175.76 MB
02 First Project Publish a website to S3/008 Boto3 Docs - Create Hosted Zone.txt	315.00 B
02 First Project Publish a website to S3/008 Configure DNS with Route 53.mp4	125.68 MB
02 First Project Publish a website to S3/008 Github commit for this lecture.txt	315.00 B
02 First Project Publish a website to S3/009 Git commit for this lecture.txt	315.00 B
02 First Project Publish a website to S3/009 Publish to a CDN with Cloud Front SSL Support.mp4	174.17 MB
02 First Project Publish a website to S3/010 Git commit for this lecture.txt	315.00 B
02 First Project Publish a website to S3/010 Packaging.mp4	39.56 MB
02 First Project Publish a website to S3/010 Python Setuptools docs.txt	135.00 B
03 Second Project Notifications for Cloud Watch events/001 Project Summary.mp4	6.18 MB
03 Second Project Notifications for Cloud Watch events/002 Boto3 Docs Create a keypair.txt	309.00 B
03 Second Project Notifications for Cloud Watch events/002 Configure EC2.mp4	145.05 MB
03 Second Project Notifications for Cloud Watch events/002 Git commit for this lecture.txt	315.00 B
03 Second Project Notifications for Cloud Watch events/003 Autoscale events and Cloud Watch.mp4	88.14 MB
03 Second Project Notifications for Cloud Watch events/003 AWS Docs - Cloudwatch events.html	48.42 kB
03 Second Project Notifications for Cloud Watch events/003 Boto3 Docs - Autoscale.html	663.31 kB
03 Second Project Notifications for Cloud Watch events/003 Git commit for this lecture.txt	315.00 B
03 Second Project Notifications for Cloud Watch events/004 The Serverless framework.mp4	54.24 MB
03 Second Project Notifications for Cloud Watch events/005 Sign up and configure slack.mp4	25.63 MB
03 Second Project Notifications for Cloud Watch events/005 Slack webhook docs.txt	120.00 B
03 Second Project Notifications for Cloud Watch events/006 Git commit for lambda to post to slack.txt	315.00 B
03 Second Project Notifications for Cloud Watch events/006 Git commit for Serverless notifier project.txt	315.00 B
03 Second Project Notifications for Cloud Watch events/006 Git commit to configure notifier service.txt	315.00 B
03 Second Project Notifications for Cloud Watch events/006 Git commit to post to slack example.txt	315.00 B
03 Second Project Notifications for Cloud Watch events/006 Send notification to slack.mp4	81.65 MB
03 Second Project Notifications for Cloud Watch events/006 Serverless Python Packaging.txt	171.00 B
03 Second Project Notifications for Cloud Watch events/006 Serverless Python Requirements.txt	183.00 B
04 Third Project Analyze videos with Rekognition/001 Project Summary.mp4	10.45 MB
04 Third Project Analyze videos with Rekognition/002 AWS Rekognition Docs.txt	144.00 B
04 Third Project Analyze videos with Rekognition/002 Boto3 Docs - Rekognition.html	687.56 kB
04 Third Project Analyze videos with Rekognition/002 Git commit for this lecture.txt	315.00 B
04 Third Project Analyze videos with Rekognition/002 Intro to Rekognition.mp4	58.40 MB
04 Third Project Analyze videos with Rekognition/002 Pexels Videos.txt	81.00 B
04 Third Project Analyze videos with Rekognition/003 AWS Docs - Rekognition Videos.html	29.27 kB
04 Third Project Analyze videos with Rekognition/003 AWS Docs - S3 Event structure.html	29.99 kB
04 Third Project Analyze videos with Rekognition/003 AWS Docs - S3 Event types.txt	360.00 B
04 Third Project Analyze videos with Rekognition/003 Git commit for this lecture.txt	315.00 B
04 Third Project Analyze videos with Rekognition/003 S3 events and serverless.mp4	58.29 MB
04 Third Project Analyze videos with Rekognition/003 Serverless Docs - S3 events.txt	189.00 B
04 Third Project Analyze videos with Rekognition/004 AWS Docs - Cloudformation intrinsic functions (FnJoin).html	24.88 kB
04 Third Project Analyze videos with Rekognition/004 AWS Docs - S3 event structure.html	29.99 kB
04 Third Project Analyze videos with Rekognition/004 Git commit for this lecture.txt	315.00 B
04 Third Project Analyze videos with Rekognition/004 Start Rekognition job.mp4	81.92 MB
04 Third Project Analyze videos with Rekognition/005 Boto3 Docs - Rekognition start label detection.txt	348.00 B
04 Third Project Analyze videos with Rekognition/005 Git commit for this lecture.txt	315.00 B
04 Third Project Analyze videos with Rekognition/005 Integrate SNS.mp4	74.50 MB
04 Third Project Analyze videos with Rekognition/006 AWS Docs - Cloudformation DynamoDB Table.html	67.79 kB
04 Third Project Analyze videos with Rekognition/006 Boto3 Docs - Rekognition get label detection.txt	342.00 B
04 Third Project Analyze videos with Rekognition/006 Git commit for this lecture.txt	315.00 B
04 Third Project Analyze videos with Rekognition/006 Save data to DynamoDB Part 1.mp4	84.53 MB
04 Third Project Analyze videos with Rekognition/007 AWS Docs - DynamoDB data type limits.txt	285.00 B
04 Third Project Analyze videos with Rekognition/007 Git commit for this lecture.txt	315.00 B
04 Third Project Analyze videos with Rekognition/007 Python Docs - Floating point limitations.html	32.29 kB
04 Third Project Analyze videos with Rekognition/007 Python Docs - Numeric data types.txt	183.00 B
04 Third Project Analyze videos with Rekognition/007 Save data to DynamoDB Part 2.mp4	162.24 MB
04 Third Project Analyze videos with Rekognition/008 Last lecture.mp4	6.59 MB

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.