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Artificial Intelligence Course in Qatar

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Edoxi's AI Training Course in Qatar is a 60-hour program suitable for both beginners and experienced IT professionals. The course covers Python programming basics and advanced AI/ML concepts. Gain hands-on expertise in data analysis using industry-standard Python libraries like Pandas and NumPy. Participants learn to write, test, and debug Python code for AI applications. Enrol now and prepare for roles like Machine Learning Engineer, Data Scientist, Data Engineer, and more in Qatar’s booming AI Sector

Course Duration
60 Hours
Corporate Days
5 Days
Level
All Levels
Modules
18
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Course Rating
4.9
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Mode of Delivery
Online
Classroom
Certification by

What Will You Learn From an Artificial Intelligence Course?

Python Programming Fundamentals
Start by mastering Python basics and then dive into data structures and object-oriented programming. 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 in Machine learning with supervised learning techniques such as regression and classification. Explore unsupervised learning algorithms, like clustering, to process and analyse your data.
Natural Language Processing Basics
Grasp and implement key NLP concepts using both classical and deep learning approaches in Python. This sets you up to work effectively with language data.
Neural Network Implementation
Discover the fundamentals of artificial neural networks and convolutional neural networks. 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. 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

Qatar is investing in digital transformation and aiming for its National Vision 2030, making AI a key technology. Edoxi Training Center in Qatar delivers a 60-hour AI Course for beginners and IT professionals. The training is led by an instructor with over 12 years of Python and AI experience and aims to build AI skills with Python.

Our AI Course offers flexible delivery options, including classroom and online, ensuring you choose the training format that suits you the best. For the organisation, we offer corporate training that can be customised according to the training needs and goals. 

Our training ensures you build a solid understanding of Python itself, especially for data manipulation, which is crucial for AI. Once the Python foundation is set, the course shifts to the theoretical and practical aspects of Artificial Intelligence and Machine Learning (ML). Learners develop skills in machine learning, data analytics, and automation. Our AI training with Python emphasises analytical thinking to troubleshoot complex model failures and soft skills to collaborate effectively with cross-functional teams.

Edoxi’s Artificial Intelligence course offers a well-structured curriculum with 18 modules. No prior coding knowledge is needed to join. Participants learn how AI works in various sectors in Qatar, such as finance, healthcare, oil and gas, logistics, and smart city projects. The training integrates hands-on projects and case studies. Students work with Python libraries like Jupyter Notebook, Pandas, and NumPy. Upon completing the course, you’ll receive a professional AI certification that demonstrates your skills to potential employers.

Enrol now and secure high-demand Machine Learning and Data Scientist roles in Qatar’s AI-driven industries.

Features of the AI Course in Qatar

Personalised Learning Options

Choose between personalised one-on-one sessions or small group training, ensuring focused attention and interactive learning.

Practical Project Portfolio

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

Comprehensive Study Materials

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

Multiple Training Formats

Choose between in-person training at our Qatar facility or online sessions according to your preference.

Interactive Coding Environment

Work in industry-standard development environments, ensuring you gain practical programming experience.

Professional Assessment & Certification

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

During our AI Training with Python, 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. Here are a few projects that you will be involved in;

Projects

  • Predicting Housing Prices

    Build a sophisticated machine learning model using Python and Scikit-learn to predict the sale or rental prices of high-end residential properties. This project will use historical data reflecting location (proximity to economic hubs), amenities (e.g., beachfront access, smart technology), and market volatility.

  • Customer Segmentation Using Clustering

    Perform detailed customer segmentation using unsupervised learning (K-Means Clustering) on simulated or anonymised transaction and behavioural data from a local financial institution. The goal is to categorise customers (e.g., High-Net-Worth, Digital-First, Investment-Focused) to tailor services like personalised investment advice or digital banking features.

  • Image Classification Using Deep Learning

    Create a robust Convolutional Neural Network (CNN) using TensorFlow and Keras to classify images taken from drones inspecting critical infrastructure (e.g., pipelines, solar farms, industrial equipment). The model will identify and classify defects (e.g., rust, leaks, physical damage) automatically.

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 in Qatar

By completing the Artificial Intelligence course in Qatar, participants gain not just technical skills but also practical experience that prepares them for real-world AI applications. Here are the major course outcomes:

Course Outcome Image
Develop a solid foundation in Python programming, essential for AI development.
Gain insight into fundamental AI principles, including machine learning, deep learning, and natural language processing.
Acquire skills in data manipulation and analysis using libraries like Pandas and NumPy, crucial for effective AI modelling.
Design, implement, and evaluate AI models using frameworks such as TensorFlow or PyTorch.
Enhance your critical thinking and problem-solving abilities, equipping you to address complex business challenges with AI solutions.
Open up career opportunities across multiple sectors in Qatar, including Oil and Gas, Healthcare, Finance, Education, and Transportation.
Prepare for diverse roles in AI development, data analytics, and machine learning engineering across Qatar’s booming AI sector.
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

  • Qatar Petroleum (QatarEnergy)
  • Qatar Foundation
  • Ooredoo Qatar
  • Qatar Airways
  • Qatar Digital Government
  • Boeing Qatar
  • Qatar University & Research Centers
  • MEEZA QSTP
  • Hyperlink InfoSystem
  • Management Solutions International (MSI)

AI Training Options

Classroom Training

  • 60-hour AI Course in Qatar

  • 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

  • 60-hour AI Course in Qatar

  • 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

  • 8-10 days of comprehensive Corporate Training

  • Customised Learning (Digital/ Instructor-led)

  • Flexible Pricing Options

  • Enterprise Dashboards for Individuals and Teams

  • Learner Assistance and After-Support

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

Do You Want a Customised Training for Artificial Intelligence?

Get expert assistance in getting your AI Course customised!

How To Get AI Certification in Qatar?

Here’s a four-step guide to becoming a certified AI professional in Qatar.

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?

Edoxi is a top AI training institute in Qatar, providing the best AI Courses. Here are the compelling reasons to select Edoxi for your AI training needs in Qatar.

Hands-On, Qatar-Focused Project-Based Learning

Every concept, from basic Python to sophisticated AI, is solidified through mini-projects and specialised case studies. This guarantees practical expertise in machine learning, data analysis, and neural networks.

Comprehensive Portfolio Development for Local Employers

Build an extensive, job-ready portfolio through practical exercises in data manipulation, predictive modelling, and AI implementation. Your portfolio will directly showcase your ability to solve Qatari industry challenges.

Structured Learning Pathway Aligned with Career Goals

Our well-organised curriculum starts with programming basics and gradually advances to complex AI topics. This structured approach ensures you master intricate subjects effectively.

Targeted Career Readiness for Qatar's Vision 2030

Engaging coding sessions, combined with a core emphasis on analytical thinking and communication skills. Our training effectively equips participants for high-demand job opportunities in Qatar’s rapidly growing AI-driven industries.

Dedicated Learning Support & Industry Tools

Receive support in IDE setup assistance for Google Colab and Jupyter Notebook, instruction on Git practices for effective version control, access to study resources, and post-course guidance tailored for AI career success

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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

Athar Ahmed

Athar Ahmed is a skilled technical trainer with more than 15 years of experience in both educational institutions and the software development business. Athar specialises in technology stacks including Advanced Excel, Python, Power BI, SQL, .NET, Java, PHP, Full Stack Web Development, Agile, Data Science, Artificial Intelligence, Data Analytics, and DevOps.

He holds several certifications and licenses that underscore his expertise in the field. These include MCTS (Microsoft Certified Technology Specialist), MCP (Microsoft Certified Professional), and a Certificate in Artificial Intelligence and Machine Learning for Business. He also completed a Certificate Course in Unix, C++, and C# from CMC Academy, among other qualifications.

Athar also holds a Bachelor of Computer Applications (BCA) and a Master of Computer Applications (MCA). Additionally, he earned a Master of Technology (M. Tech) in Machine Learning and Artificial Intelligence, as well as a Doctorate of Philosophy (PhD) in Computer Applications.

Locations Where Edoxi Offers AI Course

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

FAQ

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.
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 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. However, having a basic understanding of programming concepts, familiarity with data handling and a foundation in mathematics can enhance the learning experience.

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. The training is also available online with weekend and weekday scheduling options. 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.
Can I learn Artificial Intelligence without a computer science background?
Definitely! You can start learning Artificial Intelligence without a computer science background. Our structured curriculum is tailored for learners of all levels, guiding you from the basics of Python to more advanced AI concepts.
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.

What types of AI projects will I work on during the training?
Throughout the training, you'll work on hands-on projects that include data analysis, predictive modelling, machine learning applications, and neural networks, helping you build a comprehensive portfolio as you advance in the course.
What is the salary of an AI professional in Qatar?
An AI professional's salary in Qatar can range from approximately QAR 14,000 to QAR 19,000 per month for entry-level roles, with experienced professionals potentially earning QAR 22,000 to QAR 32,000 per month.
Why Qatar Is Becoming a Hub for AI Careers?
Qatar actively supports AI through its National AI Strategy, the TASMU Smart Qatar initiative, and significant investments in digital infrastructure and talent. The country is implementing AI across various sectors like government services, healthcare, and transportation, and has partnered with major tech companies to advance its AI ecosystem. As a result, if you are interested in starting a career in this booming sector, then now is the best time.