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Artificial Intelligence [AI] Course in Dubai

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AI with Python Training will enable you to learn an ideal language for AI & machine learning tasks. Join Edoxi's 60-hour AI training program using Python to learn AI principles with a focus on problem-solving. Benefit from a supportive community and tools like NumPy, Pandas, TensorFlow, and PyTorch. The course covers fundamental and advanced machine-learning concepts, featuring practical exercises with Jupyter Notebook, Pandas, and NumPy, preparing you for roles in top companies.
Course Duration
60 Hours
Corporate Days
5 Days
Course Modules
18
Learners Enrolled
300+
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Course Rating
4.9
star-rating-4.9
Mode of Delivery
Online
Offline
Certification by

What You'll Learn From the Artificial Intelligence Course?

Python Programming Fundamentals
Edoxi will help you master Python basics. Understand data structures, object-oriented programming, and essential libraries like NumPy and Pandas for AI development.
Data Analysis and Visualization
Learn to manipulate data using Pandas. Conduct exploratory data analysis. Create visualizations with Matplotlib for meaningful insights.
Machine Learning Foundations
Gain practical experience with supervised learning (regression and classification). Explore unsupervised learning (clustering) algorithms using Python.
Natural Language Processing Basics
Understand and implement NLP concepts using classical and deep learning approaches in Python.
Neural Network Implementation
Learn the fundamentals of artificial neural networks and convolutional neural networks for AI applications.
Practical AI Project Development
Apply your skills through hands-on projects using Jupyter Notebook. Work with data formats like JSON, CSV, and Pickle in real-world scenarios.

About Our Artificial Intelligence Course in Dubai 

Edoxi’s Artificial Intelligence with Python course in Dubai is designed to help you, whether you're just starting out or already working in IT, to confidently step into the world of AI. This 60-hour program blends the power of Python programming with real-world AI applications, making it ideal for learners of all backgrounds, even if you’ve never coded before.

You’ll learn how to apply AI techniques in industries like finance, healthcare, retail, and more through a mix of engaging theory and hands-on projects. The course includes practical exercises using tools like Jupyter Notebook, Pandas, and NumPy, so you’ll build actual experience that employers value.

Led by an expert trainer with over 12 years of industry experience, the course goes beyond coding, it helps you strengthen your problem-solving, communication, and analytical thinking skills, which are essential for AI and data science careers.

We offer flexible class schedules to suit working professionals and full-time students, with sessions available on both weekdays (Mon–Thurs) and weekends (Sat–Sun).

By the end of the course, you’ll have a clear pathway to career opportunities in top UAE tech firms like Emirates AI and PAX AI. More than just a course, this is your first step toward mastering automation, intelligent systems, and data-driven decision-making.

Key Benefits of Choosing AI with Python Training:

  • Learn AI from scratch, no programming background needed.
  • Master Python and industry-standard tools used by top AI companies.
  • Gain practical experience with real-world projects and case studies.
  • Build skills that are in high demand across multiple industries.
  • Flexible timing to fit your schedule.
  • Guidance from a trainer with deep real-world AI experience.
  • Kickstart your career with confidence in Dubai’s growing AI job market.

So, are you ready to start your AI journey? Learn more about our Course Features. 

Artificial Intelligence with Python Course Features

Personalised Learning Options

You can choose between personalized one-on-one sessions or small group training (4-6 students), ensuring focused attention and interactive learning.

Practical Project Portfolio

You will engage in mini-projects that involve data handling, machine learning models, and neural networks to build a portfolio showcasing your skills.

Comprehensive Study Materials

You will have access to detailed presentations and PDF notes designed to support both in-class learning and self-study.

Multiple Training Formats

You can choose between in-person training at our Dubai facility or online sessions according to your preference.

Interactive Coding Environment

You will have the chance to work in industry-standard development environments, ensuring you gain practical programming experience.

Professional Assessment & Certification

You will receive Edoxi’s course completion certificate after successfully passing the post-course assessment.

Who Can Join Edoxi’s AI Training in Dubai?

Fresh Graduates (Computer Science, IT, Engineering, Mathematics or any related discipline) & STEM Professionals

Software Developers & IT Professionals looking to enhance their AI skills or transition to AI-focused careers.

Business & Analytics Professionals from the finance or healthcare sectors

Career Transitioners from any background with analytical thinking abilities and basic familiarity with programming concepts

Corporate Teams looking to upskill their technical teams with practical AI knowledge and Python programming capabilities.

Self-learners & Tech Enthusiasts with a drive for problem-solving and data-driven decision-making.

Artificial Intelligence Course Modules

Module 1: Introduction to Python
  • Chapter1.1: Python Fundamentals

    • Lesson 1.1.1: Overview of Python and its features
    • Lesson 1.1.2: Setting up the Python development environment
  • Chapter 1.2: Programming Basics

    • Lesson 1.2.1: Python syntax and basic structure
    • Lesson 1.2.2: Writing and running Python programs
Module 2: Variables, Data Types and Operators
  • Chapter 2.1: Working with Data Types

    • Lesson 2.1.1: Working with variables and data types(numbers, strings, booleans)
    • Lesson 2.1.2: Type conversion and casting
  • Chapter 2.2: Understanding Operators

    • Lesson 2.2.1: Arithmetic, assignment, comparison and logical operators
Module 3: Control Flow and Loops
  • Chapter 3.1: Conditional Programming

    • Lesson 3.1.1: Conditional statements (if/else, Elif)
    • Lesson 3.1.2: Breaking and continuing loop execution
  • Chapter 3.2: Loops and Iteration

    • Lesson 3.2.1: Looping structures (for, while)
    • Lesson 3.2.2: Working with lists and iterating over them
Module 4: Functions and Modules
  • Chapter 4.1: Function Fundamentals

    • Lesson 4.1.1: Creating and invoking functions
    • Lesson 4.1.2: Function parameters and return values
  • Chapter 4.2: Module Management

    • Lesson 4.2.1: Variable scope and global keyword
    • Lesson 4.2.2: Importing and using modules in Python=
Module 5: Strings and File Handling
  • Chapter 5.1: String Operations

    • Lesson 5.1.1: Manipulating strings (concatenation, slicing, formatting)
  • Chapter 5.2: File Operations

    • Lesson 5.2.1: Reading from and writing to files
    • Lesson 5.2.2: Opening, closing, and deleting files
    • Lesson 5.2.3: File permissions and error handling
Module 6: Data Structures
  • Chapter 6.1: Basic Data Structures

    • Lesson 6.1.1: Working with lists, tuples, and dictionaries
    • Lesson 6.1.2: Accessing and modifying elements in data structures
  • Chapter 6.2: Advanced Data Structure Operations

    • Lesson 6.2.1: Iterating and manipulating data structures
    • Lesson 6.2.2: Working with sets and frozen sets
Module 7: Object-Oriented Programming (OOP) in Python
  • Chapter 7.1: OOP Concepts

    • Lesson 7.1.1: Introduction to OOP concepts (classes, objects, methods, attributes)
    • Lesson 7.2.2: Creating and using classes in Python
  • Chapter 7.2: OOP Implementation

    • Lesson 7.2.1: Encapsulation, inheritance, and polymorphism
    • Lesson 7.2.2: Working with Objects and Class Relationships
Module 8: File Input/output (I/O) and Serialization
  • Chapter 8.1: File Handling

    • Lesson 8.1.1: Reading and writing data from/to files
  • Chapter 8.2: Data Serialization

    • Lesson 8.2.1: Serialization and deserialization of objects (pickle, JSON, CSV)
    • Lesson 8.2.2: Working with CSV and JSON files
Module 9: Regular Expressions
  • Chapter 9.1: Regex Basics

    • Lesson 9.1.1: Introduction to regular expressions
    • Lesson 9.1.2: Using regular expressions for pattern matching and search
  • Chapter 9.2: Text Processing

    • Lesson 9.2.1: Validating and manipulating text using regular expressions
Module 10: Introduction to Python Libraries and Frameworks
  • Chapter 10.1: Python Ecosystem

    • Lesson 10.1.1: Overview of popular Python libraries and frameworks
  • Chapter 10.2: Applications

    • Lesson 10.2.1: Introduction to data analysis, scientific computing, and web development with Python
Module 11: Working with Data
  • Chapter 11.1: Data Analysis Fundamentals

    • Lesson 11.1.1: Introduction to data analysis with pandas
    • Lesson 11.1.2: Dataframes: creation, manipulation, and analysis
  • Chapter 11.2: Data Visualization

    • Lesson 11.2.1: Basic data visualization with Matplotlib
Module 12: Introduction to Artificial Intelligence
  • Chapter 12.1: AI Fundamentals

    • Lesson 12.1.1: Definition and history of AI
    • Lesson 12.1.2: Types of AI: Narrow AI vs General AI
  • Chapter 12.2: Industry Applications

    • Lesson 12.2.1: AI applications in various industries
Module 13: Introduction to Machine Learning
  • Chapter 13.1: ML Basics

    • Lesson 13.1.1: Basics of Machine Learning
    • Lesson 13.1.2: Supervised and Unsupervised Learning
    • Lesson 13.1.3: Data Preparation and Preprocessing
  • Chapter 13.2: Data Processing

    • Lesson 13.1.1: Importance of data in AI
    • Lesson 13.1.2: Data cleaning and preprocessing techniques
    • Lesson 13.1.3: Handling missing values, normalization, and standardization
Module 14: Supervised Learning - Regression
  • Chapter 14.1: Basic Regression Techniques

    • Lesson 14.1.1: Simple Linear Regression
    • Lesson 14.1.2: Multiple Linear Regression
    • Lesson 14.1.3: Polynomial Regression
  • Chapter 14.2: Advanced Regression

    • Lesson 14.2.1: Decision Tree Regression
    • Lesson 14.2.2: Random Forest Regression
    • Lesson 14.2.3: Regression Model Selection
    • Lesson 14.2.4: Evaluating Regression Model
Module 15: Supervised Learning - Classification
  • Chapter 15.1: Classification Fundamentals

    • Lesson 15.1.1: Logistic Regression
    • Lesson 15.1.2: K-Nearest Neighbour (k-NN)
  • Chapter 15.2: Model Evaluation

    • Lesson 15.2.1: Classification Model Selection
    • Lesson 15.2.2: Evaluating the Classification Model
Module 16: Unsupervised Learning - Clustering
  • Chapter 16.1: Clustering Basics

    • Lesson 16.1.1: Introduction to clustering
  • Chapter 16.2: Clustering Techniques

    • Lesson 16.2.1: k-Means clustering
    • Lesson 16.2.2: Hierarchical Clustering
Module 17: Natural Language Processing (NLP)
  • Chapter 17.1: NLP Fundamentals

    • Lesson 17.1.1: Introduction to NLP
    • Lesson 17.1.2: Types of NLP
  • Chapter 17.2: Implementation

    • Lesson 17.2.1: Classical vs Deep Learning Model
    • Lesson 17.2.2: Natural Language Processing in Python
Module 18: Deep Learning
  • Chapter 18.1: Neural Networks

    • Lesson 18.1.1: Artificial Neural Networks
  • Chapter 18.2: Advanced Neural Networks

    • Lesson 18.2.1: Convolutional Neural Network

Download AI Course Brochure

Projects and Case Studies on Artificial Intelligence with Python Course

In our AI Training with Python, you'll work on hands-on projects and real-world case studies that illustrate key Artificial Intelligence concepts. These experiences will enhance your understanding of machine learning, deep learning, and data-driven decision-making.

Projects

  • Predicting Housing Prices

    Build a machine learning model using Python to predict housing prices based on historical data. This project will help you apply concepts of data preprocessing, regression, and evaluation of machine learning models.

  • Customer Segmentation Using Clustering

    Perform customer segmentation by building an unsupervised learning model using k-means clustering. You will work with real-world datasets to categorize customers based on purchasing behaviours.

  • Image Classification Using Deep Learning

    Create a convolutional neural network (CNN) to classify images. This project will give you hands-on experience with deep learning using TensorFlow and Keras.

Case Studies

  • AI Implementation for Retail Demand Forecasting

    A retail company used AI models developed by one of our course participants to accurately forecast product demand. The company saw a 20% reduction in overstock and understock scenarios, optimising its supply chain management.

Artificial Intelligence Course Outcome and Career Opportunities

Taking an Artificial Intelligence (AI) course with a focus on Python can open up numerous career opportunities and equip you with valuable skills. Here are the potential outcomes and career paths after completing the AI course. After completing Edoxi's AI training in Dubai, you will:

Course Outcome Image
Learn how to manipulate and analyse data using libraries like Pandas and NumPy, which are crucial for effective AI modelling.
Gain knowledge of fundamental AI principles, including machine learning, deep learning, and natural language processing.
Be able to design, implement, and evaluate AI models using frameworks such as TensorFlow or PyTorch.
Engage with industry professionals and peers, which leads to valuable connections in the AI and tech community.
Prepared for roles in AI development, data analytics, and machine learning engineering, with a unique blend of technical skills and industry knowledge.
Develop critical thinking and problem-solving skills, enabling you to tackle complex business challenges with AI solutions.
Develop a strong foundation in Python programming, which is essential for AI development.
Learn to apply AI techniques to real-world problems.

Career Opportunities After AI Training

  • Data Analyst
  • Associate ML Engineer
  • Associate Data Analytics Developer
  • Associate NLP Engineer
  • AI Research Assistant
  • Machine Learning Specialist

Top Companies Hiring AI Developers in Dubai

  • Accenture
  • Amazon
  • Builder.ai
  • Segula Technologies
  • IBM
  • IIQAF Group

AI Training Options

Classroom Instructor-Led Training

  • 35-hour expert-led training

  • Learn AI & Python at our Dubai facility (Next to Burjuman Metro Station)

  • Dedicated mentor guidance in small batches (4-6 learners) or one-on-one

  • Hands-on machine learning exercises with direct supervision

  • Real-time interaction for complex AI concepts

Live Online Training

  • Same curriculum and mentorship quality from your location

  • Choose between small groups (4-6 learners) or one-on-one sessions

  • Live demonstrations of Python coding and ML algorithms

  • Flexible scheduling for working professionals

Corporate Training

  • Customised Learning (Digital/ Instructor-led)

  • Training is delivered at a star hotel, at the client’s premises or Edoxi.

  • Flexible Pricing Options

  • Enterprise Dashboards for Individuals and Teams

  • Learner Assistance and After-support

Do you want to customise this course for Corporate Training?

Talk with our course advisors for course customisation.

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How To Get Certified in Edoxi’s AI Course?

Here’s a four-step guide to becoming a certified AI professional,

Do you want to be a Certified Professional in AI?

Join Edoxi’s 35-Hour Artificial Intelligence Course with Python in Dubai

Why Choose Edoxi?

Here are the reasons why you must choose Edoxi for AI Training with Python in Dubai.

Project-Based Learning Throughout the Journey

Each concept, ranging from foundational Python to advanced artificial intelligence, is reinforced through a series of mini-projects. This methodology ensures the practical mastery of machine learning models, data analysis, and neural networks.

Industry-Ready Portfolio Development

Participants will create a comprehensive portfolio through hands-on exercises in data handling, predictive modelling, and artificial intelligence implementation, utilising tools such as Jupyter Notebook, NumPy, and Pandas.

Progressive Learning Path

Our structured curriculum comprises 18 modules, beginning with programming fundamentals and systematically progressing to advanced AI concepts. This design facilitates accessibility to complex topics via a learn-by-doing approach.

Focused Career Preparation

Interactive coding sessions, coupled with analytical problem-solving exercises, effectively prepare you for employment opportunities in the expanding AI sector in the United Arab Emirates. We place a strong emphasis on both technical proficiency and practical implementation skills.

Learning Support

Participants will receive comprehensive support, including IDE setup for Google Colab and Jupyter Notebook, instruction on Git practices, take-home study resources, and post-course guidance for further study and career development.

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Edoxi is Recommended by 95% of our Students

Meet Our Mentor

Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!

mentor-image

Tausifali Saiyed

Begin your AI journey at Edoxi under the expert guidance of Mr. Tausifali Saiyed, a technology professional with over 12 years of experience. He has trained more than 500 professionals and combines his extensive knowledge of Python and AI with practical applications in the classroom.

Mr. Saiyed holds an M.Sc. in Codmputer Science from the University of Greenwich and a Bachelor's in Computer Engineering from Sardar Patel University. His expertise covers full-stack development, Python application development, and various database technologies.

As a corporate trainer, he specialises in Python, AI, Machine Learning, and Deep Learning, having worked with organizations like Tech Mahindra and SBI. His background also includes teaching as an Assistant Lecturer at the University of Greenwich.

Locations Where Edoxi Offers AI Course

Here is the list of other major locations where Edoxi offers AI Course

FAQ

What are the prerequisites to join Edoxi’s Artificial Intelligence with Python course in Dubai?

To join Edoxi’s Artificial Intelligence with Python course in Dubai, there are generally no strict prerequisites. The course is designed for both beginners and experienced professionals, making it accessible to anyone interested in learning about artificial intelligence and Python programming. 


However, having a basic understanding of programming concepts can be helpful. No prior programming knowledge is required, allowing participants to start from the fundamentals and progress to more advanced topics. Having familiarity with working with data and a foundational understanding of mathematics can also enhance your learning experience, especially in areas like machine learning and data analysis. 


Overall, anyone who is motivated to learn and interested in AI can benefit from this course.

What is the duration and schedule of AI training courses at Edoxi Dubai?
The AI training courses at Edoxi span a total of 60 hours and are held at our Dubai location. We offer flexible scheduling from Monday to Thursday and Saturday, running from 11:00 AM to 8:00 PM, and on Sunday from 9:00 AM to 6:00 PM, with Friday as a day off. This setup is designed to cater to both in-person and online learners, making it ideal for those balancing work and study.
What are the entry-level job roles and the salary in the UAE after completing the AI Training in Dubai?
Below are the entry-level job roles and the average salary you can expect after completing the AI Training. 

Entry-Level Job Designations

Average Monthly Salary (in AED)

Data Analyst

5,000 - 10,000

Associate ML Engineer

7,000 - 14,000

Associate Data Analytics Developer

6,500 - 13,000

Associate NLP Engineer

7,500 - 15,000

AI Research Assistant

5,500 - 11,000

Machine Learning Specialist

10,000 - 20,000 

 
These salary ranges are compiled through comprehensive research including professional salary websites (UAESalary.com, SalaryExpert.com, PayScale.com) and insights from industry professionals in the UAE. Figures are indicative and vary based on factors like qualifications, certifications, technical skills, company size, and experience. Subject to change according to market conditions.
Can I learn Artificial Intelligence without a computer science background?
Absolutely! You can dive into Artificial Intelligence even if you don't have a computer science background. Our well-organised curriculum is designed for learners from all walks of life, guiding you step by step from the fundamentals of Python to more complex AI topics.
What kind of AI projects will I work on during the training?
During the training, you'll engage in hands-on projects that involve data analysis, predictive modelling, machine learning applications, and neural networks, allowing you to create a well-rounded portfolio as you progress through the course.