Artificial Intelligence and Machine Learning Course in Qatar
Master Python, Pandas, NumPy, and Tableau tools in 90 hours
Learn ML, NLP, and Deep Learning techniques
Work on 5+ industry use cases and a capstone project
Access CareerHub for interviews and resumes
Gain lifetime access to classes and CareerHub for job readiness
4.9/56167 EnrolledEnrolled Learners
4.9/56167 EnrolledEnrolled Learners
Overview
What you will learn:
- Understanding AI, machine learning, deep learning, and generative AI foundations
- Applying prompt engineering and Claude tools for workplace productivity
- Creating predictive machine learning models with Python and statistics
- Constructing neural architectures and deep learning models for analysis
- Building NLP, Generative AI, and RAG-driven business solutions
- Developing agentic AI systems and autonomous multi-agent workflows
- Connecting AI models with Power BI dashboards and APIs
- Launching, tracking, and managing responsible, production-ready AI systems
Upcoming sessions
Meet your Trainer
Our Trainers
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
After completing the training, you will be able to:
1
Build complete machine learning and deep learning systems for organizations
2
Create Generative AI, RAG, and LLM solutions for business use
3
Develop autonomous agentic AI workflows and multi-agent orchestration systems
4
Embed predictive algorithms and AI insights into Power BI dashboards
5
Learn to deploy and manage AI systems in operational settings
6
Use responsible AI principles on real-world business challenges
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Overall ratings by our students
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Frequently asked questions
In the Artificial Intelligence and Machine Learning Course in Qatar, participants gain practical skills in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, and Agentic AI. This curriculum covers prompt engineering, Python-based predictive modelling, neural networks, NLP, RAG systems, multi-agent workflows, and Power BI integration.
Participants also explore autonomous AI systems, AI deployment approaches, and responsible AI principles. Each module focuses on workplace applications, helping participants apply their learning to data-driven projects and AI-related initiatives in Qatar.
Yes. The training is designed to accommodate working professionals in Qatar with limited coding experience. This program begins with Artificial Intelligence foundations and prompt engineering before introducing Python essentials for data analysis in a structured, practical way.
Participants progress gradually through statistical concepts, Machine Learning models, and Generative AI applications. Each stage includes guided exercises so professionals can build confidence and apply skills without needing advanced prior programming knowledge.
Yes, participants can apply the skills from this course immediately in workplace projects in Qatar. The course curriculum focuses on practical techniques such as prompt engineering, building Machine Learning models with Python, creating RAG systems, and integrating insights into Power BI dashboards.
Every module includes business-focused exercises and real scenarios, so participants develop solutions that transfer directly to organizational tasks. This approach supports faster contribution towards data analysis, intelligent automation, and Generative AI initiatives without lengthy additional preparation.
Yes, this program includes dedicated coverage of prompt engineering and AI productivity tools such as Claude. Participants learn how to write effective prompts for business tasks, summarise documents, support research, and automate routine workflows using structured techniques.
The course also explores Claude alongside other AI assistants and demonstrates how role-specific AI workflows can be developed. These skills help participants improve workplace productivity and apply Generative AI tools confidently in everyday professional settings across Qatar.
Yes, this training includes a comprehensive industry simulation that reflects real enterprise challenges in Qatar and the wider region. Participants take on the role of an Enterprise Artificial Intelligence Center of Excellence and lead a large-scale transformation initiative across multiple business functions.
The simulation covers the full AI lifecycle, from identifying organizational problems and preparing data to building predictive models, Generative AI solutions, RAG architectures, and autonomous agent workflows. Participants also integrate insights with business intelligence tools and explore governance requirements within the simulated environment.
Assessment in this AI and ML training in Qatar focuses on practical competency rather than theoretical recall alone. Participants receive continuous guidance that tracks progress at every stage, with skills validated through case studies, scenarios, and workplace-style activities that reflect real organizational challenges.
Formative feedback is provided during the training to help participants refine their approach. A final summative assessment consolidates the learning covered during the program and evaluates overall performance against defined criteria. Participants who successfully complete the program receive a certificate confirming completion of the training.
Yes, teams from different functions in Qatar can benefit from this AI and ML program. The course curriculum is designed for professionals across HR, finance, analytics, project management, and operations who need practical skills in Artificial Intelligence, Machine Learning, and Generative AI.
Participants develop shared capabilities in data analysis, predictive modelling, intelligent automation and Power BI integration. This cross-functional approach helps teams collaborate more effectively on AI-driven projects and support organization-wide digital transformation initiatives without requiring every participant to have a technical background.
Learners Point has supported professional development across the Middle East since 2001, with a consistent focus on practical capability building for organizations and individuals in the GCC.
These are the reasons Learners Point stands out for this training:
- Over two decades of experience delivering professional training across the UAE, Saudi Arabia, and the wider MENA region
- Proprietary Friction Method™ that links concepts directly to workplace application and measurable skill improvement
- Structured industry simulation where participants operate as an Enterprise AI Center of Excellence
- Practical assessment approach using case studies, scenarios, and continuous feedback rather than theory-only testing
- Curriculum covering the full pathway from prompt engineering and Python to Generative AI, RAG, and Agentic AI systems
- Strong emphasis on responsible AI and business intelligence integration for real organizational use
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