# 9. AWS cloud and Machine Learning

When I was living in Japan (I was there for 3 years during COVID) I am a loyal customer to Amazon - You could totally break your bank to shop on Amazon in the UK but the Japanese have delivery spirit in their blood and therefore JP Amazon is affordable to a point that it is comparable to storefront offer.  I know I am drifting off - there are many cloud platform providers (CIPS) on the market, why AWS?

<figure><img src="https://4217215440-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fo6SLVna6kyWn4aaQaIFl%2Fuploads%2FNj1RRlL8p6Mhz9sTYHsX%2Fimage.png?alt=media&#x26;token=bd050f1f-e630-447e-9fbb-3cc4036a7d31" alt=""><figcaption><p><a href="https://aws.amazon.com/blogs/aws/aws-named-as-a-leader-in-the-2022-gartner-cloud-infrastructure-platform-services-cips-magic-quadrant-for-the-12th-consecutive-year/">AWS Named as a Leader in the 2022 Gartner Cloud Infrastructure &#x26; Platform Services (CIPS) Magic Quadrant for the 12th Consecutive Year | AWS News Blog</a></p></figcaption></figure>

It was totally NOT because of this market analysis - and don't get me started on why IBM is clustering with Chinese providers, I am still in a shock when someone 8 years younger than me asked me "which one is better at quantum computing, \*insert a boutique IT consultancy\* and IBM?" - it was only because the company I was at funded fully on AWS courses while provided partial support only on Microsoft and Google.  THAT was the reason.

Simply put sometimes choices are not totally rational but rational enough to be a reason.  And more importantly it is about to learn the cloud infrastructure as a basis on cloud technology.  UX/UI can always change in an overnight, but the concept behind does not change that much, and when one looks at the no-code environment trend nowadays, coding is really a job for programmer while brains born with different settings should work on more suitable jobs such as to train a high-scoring AI/ML model than to code for the AI/ML model.

{% hint style="success" %}
[The competition I was at](https://github.com/cg-gdsc/GDSC-6/tree/gdsc_6)&#x20;

**Global Data Science Challenge**

Duration - 1 month

Resources - AWS platform

Input - Normal working hour

outcome - exposure to ML; project experience;&#x20;

prize if I scored better than 80% - AWS Machine Learning cert exam voucher
{% endhint %}

I thought for a second what is the best way I want this section to be - and this already has nothing to do with NGS anymore, although I don't think it is irrelevant to science - the point when I came up with a [lame idea](https://nks.gitbook.io/rna-seq/1.-preface/next-generation-science-also-ngs).

Enough for digression and time to get to work!


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