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GenAI & LLMs Applications Development

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


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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

This course is designed for developers with hands-on experience and aims to prepare participants for roles involving the implementation and integration of AI tools within organizations. The core of the program focuses on the technical aspects of building LLM-based applications and adapting them to the unique needs of companies and enterprises. 

Participants will explore AI APIs and development environments such as Google Gemini, OpenAI, Anthropic, and Hugging Face. The course includes hands-on practice using advanced frameworks like LangChain and LangGraph for building AI Agentic Flows, implementing various RAG techniques using tools such as LlamaIndex and Pinecone, and mastering Prompt Engineering to maximize the value of language models. 

We will also cover evaluation and performance monitoring principles using platforms like LangSmith to help improve the stability and usability of LLM-based applications over time 

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 individuals who are passionate about software development, quick to learn new technologies, and eager to work with people, lead processes, and drive innovation. Whether you prefer teamwork, mentoring and leading, or enjoy working independently on complex technical solutions—this program provides the tools to become GenAI leaders and help organizations enter the AI era. 

At least one year of proven experience in Software Engineering roles or military tech units.  

Priority will be given to applicants with relevant academic degrees. 

Alternatively, graduates of computer science degree from a known university or college. 

*The course will be taught using Python 3, and a working knowledge of the language is required.
**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

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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FAQs
  • 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

    Why is Python required?

    The course is intended for participants with prior programming experience and familiarity with Python. However, in-depth knowledge or the ability to develop complex systems is not required—only the ability to use Python as a practical, functional tool. 

    *Note: Python 3 will be used throughout the course. 

    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 
    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 does the curriculum include?

    Click here to view the syllabus. 

    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 

    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. 

    What certificate is awarded?

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