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Interactive way to teach and learn AWS from the developers to the developers

License: MIT License

CSS 1.74% HTML 45.33% JavaScript 52.92%

aws-workshop's Introduction

AWS Workshop: `Dive into the Cloud`

❗ Project is still in development ❗

An interactive introduction to Amazon Web Services.

Created by developers to developers.

For lecturer (AWS guru)

See docs for setting up infrastructure

For student (participant, colleague)

See docs for getting personalized credentials

Why

You, as a colleague:
- Will get practical experience with AWS (logging in to the real AWS)
- (In project's future releases) Will learn in a fun (internal jokes, scoreboard) and efficient (hear, see, try) way
- (In project's future releases) Learn at your pace and depth (basic and extra tasks, links for official documentation, open-source)
- (In project's future releases) Technical topics (and jokes) tailored to your usual work
I, as a creator/contributor:
- Believe in DevOps transformation, and it should start from the culture. Like git become a de facto tool for the software developer (remember days of svn?), I believe Cloud solutions should also become this de facto tool for modern software developers.
- AWS based learning material about AWS is an alternative way to learn in becoming AWS Certified professional. (however, it takes a lot of time also)
- It is fun to hack what is possible and create value to the community (however, not all assumptions are valid and workarounds requires a lot of effort)
In this format (while there already A Cloud Guru, Full day introduction classes, AWS Classroom training, etc...)
- From Practice to theory
  
  Most online material starts with abstract concepts and then goes to Hello world examples. But in day to day work, we are dealing with more complex situations So picking a more complex example and using it as an illustration for various concepts, could be a better way to lean (going from steep learning curve to story telling format)
- Long term reference instead of one time information dump
  
  Most of the learning materials are slides or video recording of some technical aspects. But technologies (and AWS in particular) is changing too frequently, so updating slides/videos is not feasable. Moreover, learning material ideally should be used not only during workshop, but as a reference in day-to-day job. So using git and automation to make learning material easy to update (Pull requests), link (open source), and validate (run/deploy).
- Local instead of global use case
  
  Internet is full of various AWS material, but the goal is to have not only one guru in organization, but to share knowledge, so everyone could grow. In common learning materials/conferences a generalized examples and use cases are discussed. But in day to day work, confidential and business project specific questions/issues are more useful. So this interactive tool should help colleagues to try and identify unknown/alternative ways of using AWS. During workshop (video call) colleagues could use confidential business project specific issues to discuss and better relate learning material with day-to-day job.
- (in project's future releases) Learn at participant, not lecturer pace
  
  In any group there will always be people of different knowledge levels and different learning pace. Lecturer could try to align with the average level, but there will always be someone already bored and mind-blown. So adding multiple ways (difficulties) to finish the task, will occupy both experts and newcomers. In addition, seeing a complex example and not understanding it at first – is better than just simple topics, because in the future day-to-day job it would be easier to reference this example and learn it fully.

How to contribute

Tell your pain points or how you are using AWS daily – so learning material could be tailored for you
Improve visual feel (JavaScript magic, images) of the game (preferably via Pull requests)
Use your creativity for AWS/game tasks, that would be interesting to do and possible to automate (because it supposes to be a game)
Improve links to documentation, the wording of the tasks, etc (preferably via Pull requests)
Fork and do your own (and better) version (future of learning should be interactive and open-source)