Coding for Artificial Intelligence

by Mona, AI/ML Specialist Solution Architect at AWS

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I am Mona, an AI/ML (Artificial Intelligence/Machine Learning) Specialist Solution Architect at Amazon. My background, I did my bachelors in computer engineering followed by a Masters in Computer Information Systems from Georgia State University. I also worked for overall social development of underprivileged children through an NGO in India.

My Work

I work on helping organizations with adopting machine learning in AWS Cloud. My Industry is Information Technology. We also work with a lot of schools to help students learn machine learning in a fun way. At AWS, our mission is to put machine learning in the hands of every developer irrespective of their background in AI/ML. In order to achieve that mission we have created AI services to help with common machine learning use cases such as text to speech, speech to text, finding insights, and more. I was recently part of this show called AWS Power hour on Twitch where I taught developers how to use natural language processing using Amazon Comprehend by just using simple python APIs.

Before joining Amazon, I was a Java developer and did coding to support a financial application. Currently, I use simple Python coding to create machine learning solutions using AWS AI services. I write blogs to help anyone looking to learn AI/ML with no ML background. Links to my blog can be found from my LinkedIn page.

Amazon Deepracer

Try Amazon Deepracer, a fun way to get started with reinforcement learning (RL). RL is an advanced machine learning technique similar to how you would train your dog. It’s based on reward , you would reward your dog for positive behavior and punish for negative behavior. That’s how the dog learns new behavior. Similar concepts are used in RL and Amazon Deepracer, where you train your car to follow a path or track using a reward function. You would give positive reward if the car is in the centre of the track and would negatively reward it for going outside the track. That’s how you use reinforcement learning to play with Amazon Deepracer!

We provide you with a starting model to begin with, which you can load in the AWS DeepRacer and start learning RL in action.

Amazon DeepRacer is for all skill levels, offering the opportunity to get hands on with machine learning through a cloud based 3D racing simulator. A fully autonomous 1/18th scale race car driven by reinforcement learning allows developers to partake in global racing leagues!

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You can participate in DeepRacer events and compete with other developers here: https://aws.amazon.com/deepracer/league/

Programming Languages

Previously, I used to code in Java, now I use Python.


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I love to cook, explore new places and paint.

LinkedIn Profile

Hear from Mona in the AWS Tech U Series: Building a Technical Career at AWS


Interested in utilizing this resource in your elementary classroom? Check out our elementary version of this blog here. Comprehension is designed for upper elementary independent reading (Lexile level no greater than 1000), or guided reading for younger students.