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tech fellows PROGRAM

Elevating Lebanon's Brightest Tech Minds


PROGRAM Description 

This year, for its fourth cohort, LebNet Tech Fellows is being redesigned as a three-month fellowship to address the rapidly evolving AI education landscape. The program is structured to equip the next generation of Lebanese technologists with rigorous theoretical foundations in AI alongside comprehensive, hands-on training to meet the demands of an AI-driven future.

Applications for the 2026 Tech Fellows Program are opening soon, stay tuned.

COMPREHENSIVE AI TALENT DEVELOPMENT

GUEST LECTURES BY EXPERTS FROM NORTH AMERICA

HANDS ON COLLABORATIVE PROJECTS

OPPORTUNITY FOR IMPACT IN LEBANON

PROGRAM PILLARS

This program is an evidence-based AI tech fellowship focused on merging rigorous theory with practical application to address real-world challenges in Lebanon.

THEORETICAL MASTERY

  • Current applications of AI and the evolution of AI over the years
  • Basic setup of a machine learning problem: loss function, model class, optimization algorithm, train/test split, evaluation metrics, feature engineering
  • Basics of neural networks and transformers
  • Training pipeline of modern day LLMs: pre-training, post-training
  • Broader implications of deploying AI models: safety, privacy, ethics, human-AI collaboration
  • Current limitations and evolving topics

PRACTICAL SKILLS

  • Training a ML model given tabular data
  • Prompting an LLM to accomplish any given task which may involve tool use, learning advanced LLM prompting patterns: agents, ReACT, sub-agents, RAG… for many real world use cases
  • Fine tuning a small LLM given specially selected data
  • Applying learnings to broader real-life situations

APPLIED PROJECT

  • Addressing a real-life scenario or problem in Lebanon or a scientific complexity
  • Producing presentable artifacts (write-up, code, data, demo, model)

PROGRAM CURRICULUM

The program is led by leading AI industry and research experts and is designed to ensure Lebanese technologists remain globally competitive, positioning Lebanon as an emerging hub for innovative AI talent that leverages cutting-edge technologies to solve real-world problems in Lebanon and beyond.

Machine learning fundamentals

large language models (llms)

agentic ai systems

a capstone project

PROGRAM Impact

Requirements

Eligibility: Currently enrolled in an undergraduate program at a university in Lebanon

Admissions pre-requisites: 1- Basic programming, 2- Basic math understanding: basic probability, basic calculus


Field of Study: Majoring in fields such as computer science, engineering (computer, mechanical, mechatronics, electrical), mathematics, statistics, or other computational/technical disciplines.


Qualifications: Demonstrates a strong passion for a technology-focused career or advanced studies, backed by relevant experiences, strong English proficiency, and a commitment to meeting the fellowship's rigorous standards.

MEEt the LTF team

Aya Mouallem

Engineering PhD Candidate
at Stanford

LTF Program Founder and Co-Leader

Joseph Jabbour

Quantitative Analyst
at RBC Capital Markets

LTF Program Co-Leader

Hussein Mozannar

MIT PhD, Incoming Researcher
at Microsoft

LTF Program Co-Leader

Yasmine Attar

Co-Investigator

at Lebanese American University

LTF Program Co-Leader


Lynn Mouallem

Associate

at Strathaus

LTF Program Co-Leader


Frequently Asked Questions

Yes, you are eligible to apply and will be considered a first-year undergraduate applicant.



Please submit the transcript of your final year in high school instead.



The fellowship program offerings are set up with the expectation that fellows will have at least one year of studies left to incorporate the takeaways from the fellowship program into their academic and professional profile, in preparation for transition to post-university life.



We do not have a GPA cut-off. We will review applications holistically, so applicants’ academic and extracurricular experiences, as well as ambitions and goals will factor into our decision.



Please reach out to the LebNet Tech Fellows team at [email protected]

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