EMPOWER YOUR FUTURE, LEAD IN AI

Nomu Al Ghurair: Women in AI

Women in AI offers an immersive online program designed to upskill Emirati women in Machine Learning and Artificial Intelligence. With a curriculum crafted by industry experts, our program focuses on foundational AI knowledge, practical applications, and career readiness, empowering women to excel in the tech industry.

Start here

THE IMPORTANCE OF
WOMEN IN AI

The Middle East expects an annual AI growth rate ranging from 20 to 34 per cent, projecting a potential impact of $320 billion by 2030

01

AI skills are in high demand across various industries globally, especially in the UAE.

02

 Empowering women in AI leads to diverse perspectives and innovative solutions in technology.

03

Women with AI expertise open doors to international career opportunities and leadership roles.

04

Knowledge in AI and Machine Learning significantly enhances career prospects, making women more competitive in the job market.

PROGRAM STRUCTURE

A comprehensive machine learning program designed to equip participants with foundational and advanced skills in machine learning. The program is structured into distinct phases and covers a variety of modules to ensure a well-rounded education.

Phase 1

12 Weeks

Learning Phase

Data Science Foundations

Introduction to data science concepts, data preprocessing, and exploratory data analysis.

Machine Learning Foundations

Fundamentals of machine learning, including supervised and unsupervised learning algorithms.

Statistical Model Validation & Testing

Techniques for validating and testing models to ensure reliability and accuracy.

Neural Networks & Deep Learning

Basics of neural networks, deep learning principles, and building simple neural network models.

Deep Learning in Advanced Data Types

Applying deep learning techniques to various data types such as images, text, and time series data.

Transformers & Large Language Models

Understanding transformers and their applications in natural language processing and large language models.

Machine Learning in Production

Deploying machine learning models in production environments, scaling, and maintaining them.

Career Development week

During the learning phase, one week is dedicated to soft skills development, covering essential topics such as:

  • Communication skills
  • Resume writing
  • Job interview preparation
  • Networking skills

Phase 2

8 Weeks

Job Readiness Phase

Capstone Project

Participants work on a real-life project proposed by a partnering company, applying the skills learned during the course. This phase includes weekly mentorship sessions to guide participants through the project.

Acquired Professional
Skills

01

Analyze complex data sets and derive meaningful insights with confidence.

02

Apply Machine Learning algorithms and techniques to solve real-world problems.

03

Develop and deploy AI models in professional and academic settings.

04

Effectively communicate technical findings and project results to both technical and non-technical audiences.

Enrollment process

01

FILL OUT THE REGISTRATION FORM

Provide your personal information and wait for our email.

02

COMPLETE A 1:1 INTERVIEW

If you meet the eligibility requirements, you will be invited to a 1:1 interview to assess your readiness and motivation for the program.

03

NOW YOU’RE ENROLLED!

Once you successfully complete the interview, you will be enrolled in the program for free. We’ll guide you through every step.

Program Recap

20-week training program

Self-paced/online learning mode

Real-life ML challenges

Online live office hours delivered by instructors

Online live technical sessions

Eligibility Criteria

To apply for this program, ensure you meet the following criteria:

01

Aged between 20 to 35 years old.

02

Emirati or Arab nationals residing in the UAE.

03

Fluent in English.

04

Familiar with Python programming language.

05

Young professionals aiming to shift careers into Machine Learning.

06

Recent graduates having a university degree or senior year students.

07

Committed to dedicating 20 to 30 hours per week to the program.

For inquiries please send an email to: [email protected]
APPLY NOW