TRAINING WORKSHOPS

AWS

AWS - Data Feature Engineer in Machine Learning

Date: 9th December 2020

Time: 12:30 PM – 2:30 PM

About: Every unique attribute of the data is considered a feature. For example, when designing a solution for a problem of predicting customer churn, you start with the customer data that has been collected over time. The customer data captures features (also known as attributes), such as customer location, age, income level, and recent purchases.

In this workshop, participants will explore how to process those features to build a model that will detect a fraud in a banking transaction.

Target Audience: Anyone looking forward to learn machine learning. No need for previous experience.

Trainer:
Mohamed Ezzat
Senior Solution Architect
Amazon Web Services

AWS

AWS - Building recommendation systems with Amazon Personalize

Date: 9th December 2020

Time: 2:30 PM – 5:00 PM

About: During this workshop, a demonstration will take place to build ML Model capable of delivering a wide array of personalization experiences, including specific product recommendations, personalized product re-ranking, and customized direct marketing.

Amazon Personalize is a fully managed machine learning service that goes beyond rigid static rule based recommendation systems and trains, tunes, and deploys custom ML models to deliver highly customized recommendations to customers across industries such as retail, media and entertainment.

Target Audience: Anyone looking forward to learn machine learning. No need for previous experience.

Trainer:
Mohamed Ezzat
Senior Solution Architect
Amazon Web Services

Ameen Altajer

A look on reinforcement learning for games

Date: 9th December 2020

Time: 12:30 PM – 1:30 PM

About: In this workshop, we are going to look at how reinforcement learning (part of machine learning) allows for a new game development paradigm for artificial intelligence, as you are not completely scripting the AI behavior (a typical case in game development), instead you are allowing your agent to stay dynamic according to the changes in the environment, and in some cases that might be too much!

Join us in this sessions to understand how AI generally works within games and how reinforcement learning offers something different.

Target Audience: Game developers / Programmers / Software Engineers

Trainer:
Ameen Altajer
CEO
INFINITWARE

Mohammed Buallay

How to become a Google Developer Expert?

Date: 9th December 2020

Time: 12:30 PM – 1:30 PM

About: Mohammed Buallay, Google Developer Expert (GDE) in Machine Learning, will shall his experience as a Google Developer Expert in AI and how to become a GDE.

Target Audience: University students, Employee looking to build AI Models.

Trainer:
Mohammed Buallay
Google Developer Expert

Sini Raj Pulari

Understanding Deep Learning Algorithm - Convolution Neural Networks with Real Time Applications, Using Python, Keras and Tensorflow

Date: 9th December 2020

Time: 12:30 PM – 2:30 PM

About: This workshop  would open the insights about the basic working of Convolution Neural Networks and its related real time applications. This workshop would also help participants to start with coding CNN using Python, Keras and Tensorflow. Participants will gain an understanding of how CNN works with suitable real time examples.

Target Audience: Students interested in Deep Learning, Research Scholars and Interested Faculty.

Trainer:
Sini Raj Pulari
Tutor
EDICT, Bahrain Polytechnic

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