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GenAI & LLMs Applications Development

Come develop AI agents using large language models and integrate innovative technologies into organizations

Registration is now open!

Registration Questionnaire
Background

In a world where Artificial Intelligence is reshaping industries and redefining our work, organizations must quickly adapt and integrate advanced AI technologies to stay competitive. This course is designed to train professionals to develop GenAI and LLM-based applications, focusing on building AI agents tailored to organizational content and needs. The most sought-after professionals will be those who can bridge cutting-edge AI technologies and real business challenges. 

About the course

 

In an era where AI is redefining business and technological landscapes, organizations must rapidly adapt and integrate AI to remain competitive. This course is designed to prepare participants for exactly that role. Its core focuses on the technical aspects of developing LLM-based applications and tailoring them to unique organizational needs. Participants will work with AI APIs and environments including Google Gemini, OpenAI, Anthropic, and Hugging Face, and explore infrastructures such as LangChain and LangGraph for building AI agentic flows. They will apply RAG techniques using tools like LlamaIndex and Pinecone, prompt engineering methods, and utilize tools like LangSmith to improve the stability and usability of LLM applications over time. Beyond technical development, the course also examines how GenAI tools can be integrated into daily organizational workflows, supporting various departments such as marketing, HR, and customer service. Guest lectures by industry experts will share practical insights on GenAI adoption and effective internal guidance. 

Course Syllabus
Why Learn GenAI Development?
  • Lead innovation in the AI revolution 
  • Acquire in-demand skills for a rapidly growing field 
  • Hands-on learning with theory, practice, and real projects 
  • Industry-driven training based on current best practices in the AI field 
  • Build a diverse portfolio of real-world applications customized to unique company needs 
Course Structure

  • Start Date: July 6, 2025
    Duration: 3 months (~120 academic hours)
  • Hybrid learning model:
    Sundays 4:00 PM – 8:00 PM (in-person at Google Campus Tel Aviv)
    Wednesdays 4:00 PM – 8:00 PM (online)
  • *Lectures will be delivered in Hebrew. Course materials, assignments, and exercises will be in English.
  • **Subject to change
Who Is This Course For?

The course is intended for experienced developers familiar with Python and capable of leading innovative processes. It’s ideal for those with a passion for software development, quick learners of new technologies, and individuals who enjoy both collaborative and independent work. Participants will receive all the necessary tools to become GenAI leaders, guiding organizations into the AI era. 

 

A minimum of one year of experience in the high-tech industry OR Former members of military technology units (e.g. Unit 8200) with hands-on experience \ knowledge in Python is required for admission.  

Priority will be given to applicants with proven programming experience in Python, as well as relevant academic or professional training.  

Alternatively, graduates of Computer Science programs with a GPA of 80 or above may also be considered. 

*Please note spots are limited and only qualified candidates will be accepted. 

Screening Process

To be accepted into our course, you must go through an admissions process that includes several steps.
This selection process is designed to ensure your suitability for the course.
Good luck!

Questionnaire

Fill in personal details and general information

5 min

Registration Questionnaire
Personal Conversation

An opportunity to meet
*There might be a home assignment

30 min

Acceptance to the program

How exciting! Now is the time to arrange payment

Meet the Course Faculty

Dr. Kfir Bar, Academic Director

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Yuval Belfer, Senior Lecturer

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Kai Golan, Lecturer

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FAQs
  • What certificate is awarded?

    Graduates will receive a completion certificate signed by Reichman University and Google Tech School

    Industry Integration

    This course was developed by senior instructors and industry experts and aligned with the current needs of the Israeli tech ecosystem. It combines theoretical foundations with practical training, including up-to-date tools in Generative AI, guest lectures, and real-world exercises to prepare participants for success in the field. 

    Can I work while studying?

    The course is highly intensive and requires full attendance as well as the submission of all projects. It is best suited for those who can commit time and effort beyond scheduled class hours. 

    *Attendance is mandatory 

    *We recommend coordinating with your employer in advance 

    What does the curriculum include?

    Click here to view the syllabus. 

    What is the course fee?

    The total course cost is 22,400 NIS (including VAT): 

    21,900 NIS (including VAT) tuition plus up to 500 NIS for AI platform credits (e.g., OpenAI, Gemini, Anthropic). 

    *Students are fully responsible for their use of AI platforms and must comply with each provider’s terms of service.
     

    A 1,000 NIS early registration discount is available for participants who finalize both registration and payment by May 19, 2025. 

      

    Payments are available according to the Terms and Conditions. 

    *No double discounts. 

     

    Payment Terms: 

    • A tuition fee of 21,900 NIS (including VAT) will be collected upon official acceptance to the course 
    • During the course, an additional payment of up to 500 NIS will be required for AI platform usage, which each participant will activate individually. As noted, all usage of AI platforms is the sole responsibility of the student 
    • Tuition, whether in full or in part, will only be required after formal acceptance into the course 
    • Payment in installments is available, in accordance with the tuition payment policy 

     

    *Please note: No double discounts will be granted. 

     

    To promote equality of opportunity and support the development of skilled and diverse talent, we offer scholarships to eligible candidates. These scholarships are available exclusively to applicants who meet specific criteria — including individuals from underrepresented groups in tech, those entering the industry for the first time, or candidates returning to the workforce after an extended period of unemployment or due to socio-economic challenges. 

    • Scholarships are limited.  
    • Eligibility for a scholarship will be assessed after reviewing the suitability for the program.   
    • Applicants must submit relevant documents.  
    • The scholarship committee reviews each case individually, and a response will be provided before the program begins. 
    What is the admissions process?
    • Registration form including; CV or LinkedIn profile, and an Official University transcript (relevant for graduates only) 
    • Initial Call with our Training Advisory Team 
    • A personal interview if needed 
    Where and when does the program take place?

    Sundays 4:00 PM – 8:00 PM in-person at Google Campus Tel Aviv 
     Wednesdays 4:00 PM – 8:00 PM online 
     *Subject to change