AWS re:Invent 2022 (11th event)
Tags: aws, reinvent, beginners, discuss
Published: 2023-01-11 19:49:48

My journey to AWS re:Invent 2022 in Las Vegas, NV. I attended AWS re:Invent first time. It was really great experience and I wish i knew few thing before hand so i was thinking to share my journey, take aways and good to know. Here are few things that i thought to share and may help anyone attending first time.

`Pre-Event preparations: First Very important to reserve the sessions as soon the sessions are open to reserved, other wise you have to be in walk-in line at-least 2 hours before the session starts. Second thing you can upload your badge photo so you can save some time and you are sure if you like your photo on the badge.Third thing download AWS app` 


## Some Key factors:



**1. AWS re:invent App**

You will be notified by an email regarding to download the AWS app for the event. This is very helpful app. App will notify you about all updates like from where to pick your AWS badge (badge pickup are available in different locations including airport),Sessions, Shuttles, Meals timing and Menus, and any new update in the event. 

**2. Sessions**

Once you register the event you will be notified when the sessions will be available to reserve. There were 1000s of sessions that are available, so if you choose the sessions and add in "My Favorites", so when the Reservation you have all selected sessions in "My Favorites" and just click "Reserve" button. Book your favorite sessions proactively as session go to wait list very quickly.



**3. Venue**

While booking session make sure how far is each venue and give at least 60 minutes between each session to move from one venue to another.

**4. Meals**

Event provides breakfast and lunch in each venue, so be on time if you dot want to skip that. Such can also be grab and go. They will check your AWS badge

**5. Shuttles**

Each Venus have shuttle service from one venue to other, which is free. They will check your AWS Badge.

_**`Note: Please wear your AWS badge all the time during the event.`**_



![image 1](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/gwt06jpq4up4untq25ao.png)

Sessions:

Some of the sessions are:

![sessions](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xg5z2dfhwt73f9olnppa.png)

For full sessions details [click](https://dev.to/komallm/aws-reinvent-2022-sessions-3doc) here

During the AWS re:Invent I have attended following sessions:

1. Build a fitness activity tracker using machine learning.
2. Build a serverless web application for a theme park.
3. Learn and experiment with ML using Amazon SageMaker Studio Lab
4. Build a full-stack retail web application with AWS Amplify.
5. Building secure communications with AWS Wickr
6. Building perception for manipulation robots at Amazon
7. Design and build modern mobile apps
8. Serverlesspresso: Building an event-driven application from the ground up
9. Build smart camera applications using Amazon Kinesis Video Streams WebRTC
10. Build a cross-platform mobile app in Flutter with AWS Amplify
11. Deploy deep learning models cost-effectively on GPUs with Amazon SageMaker


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Following Images shows Amazon Wall of attendees.



![AWS Wall](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/q1bpr46724ypqmzsxtl6.png)






![Take Away](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/76pgomh3gxpjjfgh09r0.png)