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Artificial Intelligence Course in Qatar

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Join Edoxi's AI Training Course with Python in Qatar! Our 60-hour training program covers essential topics and advanced machine learning techniques, suitable for both beginners and experienced IT professionals. This course teaches you to organize and analyze data effectively, enabling you to build and train AI models. With hands-on exercises using Jupyter Notebook, Pandas, and NumPy, you’ll gain practical experience. Join us today to be part of the AI revolution.

Course Duration
35 Hours
Corporate Days
5 Days
Level
Advanced
Modules
18
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Course Rating
4.9
star-rating-4.9
Mode of Delivery
Online
Offline
Accredited by

What Will You Learn From an Artificial Intelligence Course?

Python Programming Fundamentals
You'll be on your way to mastering Python basics with Edoxi. Dive into data structures, object-oriented programming, and discover essential libraries like NumPy and Pandas, all vital for your AI development journey.
Data Analysis and Visualization
Learn how to manipulate data effectively using Pandas. You’ll conduct exploratory data analysis and create compelling visualizations with Matplotlib, offering you insights that make your data speak.
Machine Learning Foundations
Gain practical experience with supervised learning techniques such as regression and classification. You'll also explore unsupervised learning algorithms, like clustering, so you can understand how to process and analyze your data with confidence.
Natural Language Processing Basics
You'll grasp and implement key NLP concepts using both classical and deep learning approaches in Python, setting you up to work effectively with language data.
Neural Network Implementation
Discover the fundamentals of artificial neural networks and convolutional neural networks. You'll learn how to apply these concepts to real-world AI applications, enhancing your skills in this exciting field.
Practical AI Project Development
Put your newfound skills to the test with hands-on projects in Jupyter Notebook. You’ll work with various data formats, including JSON, CSV, and Pickle, preparing you for real-world scenarios in AI development.

 About Our Artificial Intelligence Course in Qatar

Edoxi offers a comprehensive 60-hour Artificial Intelligence course in Qatar with Python. It is suitable for beginners and experienced IT professionals and covers AI applications in various sectors, such as finance and healthcare.

The program has 18 modules and requires no prior programming experience. An expert in AI with over 12 years of Python programming experience teaches the classes. The lessons combine theory with hands-on coding and problem-solving.

Classes are held Monday to Thursday and Saturday from 11:00 AM to 8:00 PM, with Sunday sessions from 9:00 AM to 6:00 PM, allowing flexibility for working professionals and students. 

The course emphasises analytical thinking and communication skills essential for data science and AI success. Participants gain practical experience with tools like Jupyter Notebook, Pandas, and NumPy, preparing them for roles in leading AI companies.

Whether you're interested in automation or data-driven decision-making, our structured program will help you achieve your technical goals. Start your journey today!

Artificial Intelligence Course Features

Personalised Learning Options

You can choose between personalised 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 Qatar 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 Qatar?

Fresh Graduates

Recent graduates in computer science, IT, engineering, or mathematics can deepen their AI knowledge and enhance their employability in tech-driven industries.

STEM Professionals

Current STEM professionals can build on their technical skills to specialize in AI applications relevant to their fields.

Software Developers & IT Professionals

Software developers and IT professionals looking to pivot into AI can gain practical experience and enhance their programming skills in Python.

Business & Analytics Professionals

Business and analytics professionals from finance or healthcare sectors can learn to apply AI for improved decision-making and operational efficiency.

Career Transitioners

Individuals from various backgrounds aiming to shift to AI careers can develop foundational skills in AI and programming to enhance their marketability.

Corporate Teams

Corporate teams looking to upskill will receive tailored training in practical AI applications and Python programming to innovate in their organizations.

Artificial Intelligence with Python 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 Artificial Intelligence Course Brochure

Projects and Case Studies on Artificial Intelligence with Python Course

In our Python AI Training, you'll engage in practical projects and real-life case studies that highlight essential concepts in Artificial Intelligence. These activities will deepen your knowledge of machine learning, deep learning, and making decisions based on data.

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

By completing the Artificial Intelligence with Python course, you'll gain not just technical skills but also practical experience that prepares you for real-world AI applications. Here are the major course outcomes:

Course Outcome Image
You will develop a solid foundation in Python programming, essential for AI development.
You will gain insight into fundamental AI principles, including machine learning, deep learning, and natural language processing.
You will learn to apply AI techniques to real-world challenges.
You will acquire skills in data manipulation and analysis using libraries like Pandas and NumPy, crucial for effective AI modelling.
You will design, implement, and evaluate AI models using frameworks such as TensorFlow or PyTorch.
You will enhance your critical thinking and problem-solving abilities, equipping you to address complex business challenges with AI solutions.
You will be prepared for diverse roles in AI development, data analytics, and machine learning engineering, blending technical skills with industry knowledge.
Connect with industry professionals and peers, fostering valuable relationships in the AI and tech community.

Job Roles Requiring After AI Training in Qatar

  • Data Scientist/Analyst
  • Machine Learning Engineer
  • AI Research Scientist
  • AI Software Developer
  • Robotics Engineer
  • AI Consultant
  • Healthcare AI Specialist
  • Financial Analyst – AI Focus
  • AI Ethics and Policy Expert
  • Education and Training Specialist

Top Companies Hiring AI Developers in Qatar

  • Systems Limited
  • Microsoft
  • MMH Technologies
  • Octopus Digital
  • Agile Tech
  • Amazon
  • Astrolab agency
  • Cisco
  • Dataline Technology Services
  • Ginger Technologies
  • IBM
  • MediaGuru

AI Training Options

Classroom Training

  • Learn AI & Python at our facility

  • 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)

  • Flexible Pricing Options

  • Enterprise Dashboards for Individuals and Teams

  • Learner Assistance and After-Support

Do you want to customise Artificial Intelligence course for Corporate Training?

Talk with our course advisors for course customisation.

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 Artificial Intelligence?

Join Edoxi’s Artificial Intelligence Course

Why Choose Edoxi for AI Course in Qatar?

Here are the compelling reasons to select Edoxi for your AI training needs in Qatar.

Hands-On Project-Based Learning

Every concept, from basic Python to sophisticated artificial intelligence, is solidified through a variety of mini-projects. This approach guarantees practical expertise in machine learning models, data analysis, and neural networks.

Comprehensive Portfolio Development

Participants will build an extensive portfolio through practical exercises in data manipulation, predictive modelling, and AI implementation, utilising tools like Jupyter Notebook, NumPy, and Pandas.

Structured Learning Pathway

Our well-organized curriculum consists of 18 modules, starting with programming basics and gradually advancing to complex AI topics. This structure allows for easier comprehension of intricate subjects through a hands-on learning methodology.

Targeted Career Readiness

Engaging coding sessions, along with analytical problem-solving tasks, effectively equip participants for job opportunities in the growing AI industry in the United Arab Emirates. We prioritise both technical skills and practical application.

Learning Support

As a participant, you will receive comprehensive learning support that includes

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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 Qatar?

To join Edoxi’s Artificial Intelligence with Python course in Qatar, you typically don’t need any specific prerequisites. The course accommodates both beginners and experienced professionals, making it accessible to anyone interested in artificial intelligence and Python programming.


While prior programming knowledge is not required, having a basic understanding of programming concepts can be beneficial. The course starts from the fundamentals, allowing participants to progress to more advanced topics. Familiarity with data handling and a foundational understanding of mathematics can also enhance your learning experience, particularly in areas like machine learning and data analysis. 


Ultimately, anyone motivated to learn and interested in AI can benefit from this course.

What is the duration and schedule of AI training courses at Edoxi Qatar?
The AI training courses at Edoxi span a total of 60 hours and are held at our Qatar location. If you want to customise the course and duration, please contact our course advisors at +974 6687 3399. 
What is the scope of Artificial Intelligence careers in Qatar?
The scope of Artificial Intelligence (AI) careers in Qatar is expanding rapidly, driven by the country's push toward diversifying its economy and enhancing its technological landscape. AI careers in Qatar look promising, with considerable growth potential driven by government support, industry demand, and educational development. Those looking to pursue a career in this field can expect a dynamic and rewarding environment.
What tools and technologies are included in the AI course?
The AI course covers a range of essential tools and technologies, including Python, Jupyter Notebook, NumPy, Pandas, and popular machine learning libraries. The curriculum encompasses various topics, from data analysis to deep learning implementation.
Does Edoxi offer corporate AI training in Qatar?

Yes, Edoxi provides corporate AI training in Qatar. We offer customised AI and Python training programs for companies, helping teams develop practical skills that align with their business objectives.