Tausifali Saiyed
Jan 14, 2026
The demand for AI professionals is increasing rapidly in Qatar's growing technology sector, with companies looking to fill these vacancies as quickly as possible. To meet this need, Edoxi offers a hands-on, workplace-relevant AI training program that will prepare you to fulfill the needs of employers.
In Qatar, the utilization of AI continues to grow by over 30% each year, which means there is an ongoing, high-level demand for talent in many different areas. Some of the most prominent organizations in Qatar, such as QatarEnergy, Ooredoo, Qatar Airways, QNB and Microsoft Qatar are actively recruiting and searching for candidates with expertise in Python, machine learning, deep learning and data analysis. By providing training in industry-standard tools, real-world projects and a comprehensive learning structure, Edoxi has taken away the challenges you face in learning how to apply these skills to a real job. You will be able to develop a strong professional portfolio and job-ready skills to fill one of the many fast-growing roles available in Qatar's technology market: AI Engineer, Data Scientist and ML Engineer.
As the demand is obviously increasing and employers are expecting authentic and demonstrable skills, it becomes quite crucial to know how Edoxi actually develops this capacity in the learners. Continue reading to find out more about the course layout, the learning outcomes, the tools you will be proficient with, and the career opportunities that will be accessible to you once you finish the program.
Qatar's AI sector is growing at a fast pace. The sector is expected to increase its value from QAR 1.55 billion in 2024 to QAR 7 billion by 2030. The investments under the Qatar National Vision 2030 are estimated to create 13,000 new jobs and add USD 5 billion to the economy. Despite all these, the country is still lacking talent because:
In order to be successful in the AI job market in Qatar, professionals should have:
Edoxi provides a comprehensive AI course focused on projects and Python development.
60 hours of extensive exploration of 18 modules that are a mix of programming basics and AI topics (machine learning, NLP, neural networks).
During the AI course in Qatar, you will perform hands-on exercises on a large number of projects. An example of practical exercises included in our course:
You will develop multiple AI models using Python in the Jupyter Notebook environment and apply your new skills to various real-world challenges like predicting house prices or classifying images, and build an extensive project portfolio of AI-related work.
Edoxi AI training focuses on creating an industry-ready portfolio where each module is supported by a project (data modelling or neural networks). The combination of these projects in your portfolio, along with your newly acquired AI skills, shows prospective employers in Dubai that you are prepared for positions as an AI Engineer or a Data Scientist.
Edoxi’s AI course curriculum covers comprehensive topics, including;
The hands-on learning approach produces outcomes where you do not just learn theory. Each topic includes the use of labs, so that you can develop and deploy Quality Artificial Intelligence Products at the end of the course, just as a professional would.
The training sessions may be either face-to-face or remotely conducted. A single individual or a very small group (4-6 students) can be trained. Classes are held not only on weekdays but also on weekends, thus giving an opportunity to office-going professionals to attend the training sessions.
At Edoxi, you’ll master the top artificial intelligence skills and tools that power modern AI development. Each skill is taught through practical, hands-on learning to prepare you for real industry roles.
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Skill |
Description |
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Learn Python, with an emphasis on data types, control flow, and functions. No prior experience is required. |
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Learn how to change data with NumPy and Pandas, and create the visual representations of that data with Matplotlib and Seaborn. |
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Use machine learning methods with Scikit-learn for regression, classification, and clustering. |
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Construct neural networks, such as CNNs, with TensorFlow or PyTorch |
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Natural Language Processing (NLP) |
Understand the basics of text processing to be able to create simple NLP applications with the help of Python libraries. |
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Tool |
Description |
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NumPy |
This library is a key component of Python's numerical computation capabilities and allows for the manipulation of multidimensional arrays. |
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Pandas |
This is a library used for manipulating and analyzing structured data in Python, with an emphasis on tabular formats, including CSV files and DataFrames. |
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Matplotlib & Seaborn |
These libraries provide ways to visualize data. In particular, Matplotlib provides basic visualization support, while Seaborn provides an advanced visual experience. |
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Scikit-learn |
This is a machine learning library in Python for creating machine learning models, including regression and classification. |
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TensorFlow & PyTorch |
Both of these are frameworks for developing deep learning (DL) and other advanced AI models. |
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Jupyter Notebook |
This is a popular interactive coding environment used to write Python programs. It is frequently used in data science. |
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Google Colab |
This is a cloud-based development environment for Python where you can work on Jupyter Notebooks or run your Jupyter notebooks online. |
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Cloud platforms for deploying AI models (knowledge not mandatory but helpful for deployment). |
After finishing a course in AI, you will be eligible to take up numerous high-demand job roles in the tech sector, which is growing very fast in Qatar. In fact, all these positions are characterized by a strong career growth and attractive salaries.
|
Role |
Key Skills |
Companies Hiring in Qatar |
Salary (Monthly) |
|
AI Engineer |
Python, ML, DL, TensorFlow, PyTorch, Azure AI |
QatarEnergy, Ooredoo, Qatar Airways, QNB, Microsoft Qatar |
QAR 12,000 – 28,000 |
|
Machine Learning Engineer |
ML algorithms, Scikit-learn, model optimisation, cloud deployment |
Vodafone Qatar, Commercial Bank, QIB, ICT Qatar projects |
QAR 10,000 – 26,000 |
|
Data Scientist |
Python, statistics, data visualisation, cloud analytics |
QNB, Qatar Airways, QatarEnergy, Deloitte Qatar, Accenture Qatar |
QAR 12,000 – 30,000 |
|
NLP Specialist |
NLP models, transformers, text processing, Arabic NLP |
Ooredoo, Microsoft Qatar, Education & Government AI units |
QAR 11,000 – 25,000 |
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Data Analyst |
SQL, Excel, Power BI, data dashboards |
Qatar Foundation, Ashghal, Hamad Medical Corporation, QNB |
QAR 8,000 – 18,000 |
|
AI & Automation Specialist |
ML automation, NLP automation, RPA tools |
QatarEnergy, QFZ, Logistics firms, Banking sector |
QAR 10,000 – 22,000 |
|
Computer Vision Engineer |
OpenCV, CNNs, image processing, deep learning |
Smart city projects, airports, security companies, healthcare tech |
QAR 12,000 – 27,000 |
|
Cloud AI Engineer (AWS/Azure) |
AWS AI services, Azure ML, cloud pipelines, MLOps |
Microsoft Qatar, Ooredoo, Enterprise IT companies |
QAR 12,000 – 30,000 |
Choosing Edoxi means choosing a practical, industry-shaped learning path at a time when Qatar urgently needs AI-skilled professionals. The country’s digital economy is growing fast, and roles in AI, data, cloud, and automation are opening quicker than talent can fill them. Edoxi gives you exactly what employers look for, real projects, modern tools, and clear guidance, so you don’t just learn AI, you become job-ready. If you’re serious about building a future in Qatar’s AI sector, now is the right moment to act. Start your AI journey today and give yourself a real advantage in a market that’s expanding every single year.
Full stack developer
Tausifali Sayed is an experienced full-stack developer and corporate trainer with over a decade of expertise in the field. He specialises in both the education and development of cutting-edge mobile and web applications. He is proficient in technologies including Core Java, Advanced Java, Android Mobile applications, and Cross-Platform Applications. Tausifali is adept at delivering comprehensive training in full-stack Web App Development, utilising a variety of frameworks and languages such as Java, PHP, MERN, and Python.
Tausifali holds a Master of Science (M.Sc.) in Computer Science from the University of Greenwich in London and a Bachelor of Engineering in Computer Engineering from Sardar Patel University in Vallabh Vidyanagar, India. Tausifali possesses a diverse skill set that includes expertise in Python, Flutter Framework, Java, Android, Spring MVC, PHP, JSON, RESTful Web Services, Node, AngularJS, ReactJS, HTML, CSS, JavaScript, jQuery, and C/C++. Fluent in English and Hindi, Tausifali is a versatile professional capable of delivering high-quality training and development in the IT industry.