Accelerated career entry
Gain the essential AI and ML skills and a recognised qualification in a single year.
Professional Diploma
Applied Artificial Intelligence & Machine Learning
One year. Open to any bachelor's degree. A fast, hands-on route into AI and machine learning — for people who will build with these technologies, not reinvent them.
- 1yearone intensive academic cycle
- >500hoursof taught contact time
- 15coursesacross two semesters
- 2modeshybrid learning (theory + labs)
The programme
An intensive, compact one-year diploma
The diploma in Applied Artificial Intelligence and Machine Learning is offered by the Lebanese University — Faculty of Sciences. It is designed for ambitious people from any academic background and provides a fast-track entry into the rapidly growing fields of artificial intelligence and machine learning.
The programme is built for rapid skill acquisition and a quicker entry into the AI and ML workforce. It blends theoretical grounding with hands-on practice, so graduates leave with the competencies employers are actually asking for.
Comprehensive fundamentals
Despite its compact format, the curriculum covers the fundamental concepts and the practical applications needed for a solid command of applied AI.
Hybrid learning
Theoretical lectures, tutorials and discussions run online. Hands-on labs run on site, and all written exams are held on campus.
Built for diverse backgrounds
Open to bachelor's degree holders from any discipline. Preparatory courses are integrated for students who need the foundations in programming, mathematics and statistics.
Applied and industry-focused
Real-world case studies and projects, focused on regionally relevant challenges, so you are ready for the job market.
Ethics throughout
Ethical considerations and responsible AI practice are woven through the curriculum, not bolted on at the end.
Academic structure
Curriculum
Every course carries 30 contact hours (+10 follow-up course-project hours), except the final project, which carries 80.
Semester 0
90+30 hPreparatory · September–October · only if needed
- Introduction to Programming (Python)30+10 h
- Basic Mathematics: Linear Algebra and Calculus30+10 h
- Probability and Statistics30+10h
These courses give students who lack the required background the necessary prerequisites. A placement test or your prior academic record determines whether you need to enrol.
Semester 1
180+60 hCore applied concepts
- Programming for AI & Data Science30+10 h
- Applied Mathematics and Statistics for AI & ML30+10 h
- Machine Learning Concepts and Practice30+10 h
- Natural Language Processing (NLP)30+10 h
- Neural Networks30+10 h
- Multimedia Processing30+10 h
Semester 2
230+50 hAdvanced concepts and project
- Deep Learning30+10 h
- Introduction to LLMs and their Applications30+10 h
- GenAI Basics and Prompt Engineering30+10 h
- AI Ethics and Responsible AI30+10 h
- Introduction to AI Agents and Agentic AI30+10 h
- Project — build and present a real AI/ML solution80h
Assessment and evaluation
Students are evaluated through a variety of methods that take into account both theoretical understanding and practical application. The distribution of grades is tailored to the learning objectives of each course.
General components include quizzes, assignments, projects and written exams. All written exams are held on site and are not available online, which keeps evaluation standardised and secure. There are two examination sessions: if you do not pass a written exam in the first session, you may retake it in the second.
Who can apply
Admission requirements
- A bachelor's degree from any recognised university, in any discipline.
- An assessment process — review of academic transcripts, and possibly an interview — to determine your foundational knowledge.
- Applicants without a background in programming, mathematics or statistics complete the September–October preparatory courses.
After the diploma
Where it leads
Tuition
Fees and special conditions
The total tuition fee for the one-year diploma, including the preparatory courses, is set as follows. Fees are payable in US dollars or the equivalent in Lebanese pounds.
2400 USD
registration fee for the full academic year
For students holding a bachelor's degree from universities other than the Lebanese University.
800 USD
registration fee for the full academic year
For students holding a bachelor's degree from the Lebanese University.
Military and security personnel
Students currently serving in any Lebanese military or security field — the Lebanese Army, General Security, the Internal Security Forces or State Security — are considered equivalent to Lebanese University graduates and are eligible for the 800 USD annual rate.
Academic calendar
How the year runs
The diploma operates on an annual cycle. This calendar is provisional and may be adapted to prevailing circumstances.
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September–October
Preparatory courses
Admitted students who need foundations in programming, mathematics or statistics take these courses over September and October. Spreading them across two months keeps the pace realistic and makes sure everyone is ready before the core curriculum begins.
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October → July
Core diploma courses
The main academic year runs continuously from October to the end of July, including the periods set aside for examinations. Students taking the preparatory courses follow both in parallel during October.
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Two sessions
Examinations
All written exams are held on campus. Students have two examination sessions; a written exam not passed in the first session can be retaken in the second.
No commitment
Keep me informed
Not ready to register yet? Leave your details and we will contact you when applications open, and when key dates are confirmed.
Your details are used only to contact you about this diploma.
Pre-registration
Reserve your place
Complete the form below to reserve a place in the next cohort. This is a pre-registration: the faculty will contact you to confirm your file, arrange the placement assessment if needed, and complete the official enrolment.
Questions
Frequently asked
Do I need a computer science degree?
No. The diploma is open to holders of a bachelor's degree in any discipline. Students who lack the programming, mathematics or statistics background take the September–October preparatory courses, which are included in the fee.
Is the programme online or on campus?
Both. Theoretical lectures, tutorials and discussions are online. Hands-on labs are on site, and all written exams are held on campus.
How deep does the theory go?
The programme is applied. You learn the principles and the technologies well enough to build real systems with them, without the depth of mathematical theory a research degree would require.
What happens if I fail a written exam?
There are two examination sessions each year. A written exam you do not pass in the first session can be retaken in the second.
Does the fee cover the preparatory courses?
Yes. The annual fee includes the preparatory (freshman) courses for the students who need them.
What do I do after I reserve a place?
The faculty contacts you to confirm your file, review your transcript, arrange a placement assessment if needed, and complete the official enrolment.