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Unleash the Power of AI and Machine Learning for the Future

Nomu Al Ghurair AI/ML Bootcamp

Immerse yourself in an end-to-end learning experience, mastering Python, Machine Learning, Deep Learning, and Generative AI. Gain hands-on expertise in building, deploying, and optimizing cutting-edge models to solve real-world problems.

Why Pursue AI and Machine Learning?

NO Thriving Business.

AI/ML roles are rapidly growing as industries embrace intelligent systems. Here's why these fields are essential:

01

Driving Innovation: Revolutionize industries with intelligent automation and predictive analytics.

02

Endless Applications: Transform healthcare, finance, education, and more with AI solutions.

03

Future-Ready Skills: Equip yourself with the expertise demanded by top employers globally.

04

High-Paying Careers: AI/ML professionals are among the most sought-after and well-compensated experts.

In a tech-driven world, AI and ML skills are your ticket to shaping tomorrow.

PROGRAM JOURNEY

Acquired Professional
Skills

01

Write
Python code to solve AI/ML-specific problems, demonstrating mastery of syntax, data types, control flow, and object-oriented programming.

02

Debug
Python code effectively to resolve issues in AI/ML applications.

03

Manipulate
datasets using Pandas and NumPy, ensuring accurate data preprocessing and transformations.

04

Analyze
datasets to extract meaningful insights, using tools like Pandas and NumPy.

06

Visualize
datasets to present data insights clearly and effectively.

05

Build
machine learning models using TensorFlow, Keras, and PyTorch, focusing on achieving specific performance benchmarks.

07

Train
machine learning models through hands-on projects, refining them to improve accuracy.

08

Evaluate
machine learning models by assessing their performance against predefined benchmarks.

09

Optimize
models through hyperparameter tuning and performance metrics, enhancing model accuracy and efficiency.

10

Engineer
features to enhance model performance in various case studies.

11

Preprocess
data to prepare it for analysis and model development, following best practices.

12

Manage
large datasets by optimizing data pipelines for efficiency, demonstrated in big data projects.

13

Apply
deep learning techniques in specific projects, focusing on achieving defined objectives.

14

Apply
NLP techniques such as transformers and sequence models in practical applications.

15

Implement
generative models in projects to solve industry-relevant problems.

16

Develop
effective communication skills to work seamlessly with cross-functional teams.

Used Tools

Python

TensorFlow

MySQL

MongoDB

Keras

Matplotlib

NLTK

Colab

LangChain

Program Specifications

Duration (Hrs): 290+

Tasks: 60+

Projects: 5+

Weeks: 12

Live Sessions: 20+

Workload (Hrs / Week): 25

Impact: Hiring

Language: Arabic with English Artifacts

Market Jobs

  • 1

    Machine Learning Engineer

  • 2

    Data Scientist

  • 3

    Generative AI Engineer

  • 4

    NLP Engineer

  • 5

    Deep Learning Engineer

Enrollment process

01

Click "Apply Now"

02

Complete the Registration Form

03

Take the Technical Assessment

04

Begin Your Free Learning Journey

ELIGIBILITY CRITERIA

01

Age Range: 21-35 years

02

Nationality: UAE Nationals

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