Gain practical AI engineering skills, learn LLM internals and deployment, and build a production-grade project in a 4-month hybrid program at Tel Aviv University campus.
From LLM internals and training to scalable deployment, MLOps, and performance optimization
Inference scaling, orchestration, RAG systems, experiment management, and post-training
Build and deploy a production-ready AI system as your capstone project
Study with engineers and researchers from Nebius, Meta, and Google DeepMind
Lectures take place on campus at Tel Aviv University and are streamed live online for full remote participation
Solution architects working with cloud-based AI systems
Software developers & engineers building or integrating AI features
ML engineers, data scientists & DevOps specialists involved in model deployment and tooling
Professionals needing to quickly launch AI workflows and grasp LLMs in production
From LLM internals and training toscalable deployment, MLOps, and performance optimization
Bi-weekly structured home tasks
5 practical capstone projects with Fina onel: deploy a full production-grade AI system
Access totools and compute for real experimentation
How to build AI agents for your business tasks on top of a third-party API
From neural network essentials to the architectural choices that shape today's LLM landscape
Production deployment and scaling of AI systems, MLOps tools, experiment management, and monitoring
LLM performance engineering: from speculative decoding and quantization to custom CUDA kernels
Post-training and alignment of LLMs: from SFT to RL and back
Students receive an official Nebius Academy AI Engineer Certificate upon completion
Apply now and start your path to becoming an AI Performance Engineer
Through a careful selection process, we ensure a motivating and supportive learning environment and make sure every candidate has the time and ability to succeed in this intensive course
Fill out the form to submit your application. You’ll receive an email with further information about the test and the next steps in the process.
Take an online test assessing your analytical and programming skills
Meet the team in person or online and tell us more about your background, experience, and interests, as well as your motivation and goals for the program. A few technical questions might be asked during the interview
Successful candidates will receive an offer and be asked to confirm their spot. This marks the start of your AI engineering journey.
Receive an industry-recognized certificate that validates your skills and completion of the program
Stand out to employers with a credential designed together with cloud & AI experts
In one click, add your certificate to your LinkedIn profile, CV, and portfolio to highlight your professional growth.
Israel has been a strategic region for Nebius since 2018. Prepared hundred of top specialists working in the top companies in the Industry
Job: Data Science Manager, Cyera
Course: AI-Powered Data Science
(formerly Y-DATA)
The course is great, I think it’s the best professional course I have taken and for me personally, it’s a good substitution for a master’s degree (for now). Even though I’m already working as a Data Scientist i still learn new things, there are always fields that I’m less proficient in and the course fills the gap.
Job: Principal Software Engineer, Shopify
Course: AI-Powered Data Science
(formerly Y-DATA)
You know they say go with your passion, right? I’ve been programming since I was a kid, but I never really dealt with Data Science or Machine Learning before Y-Data. I already knew the math part of the introductory courses but they were so fast-paced that I wasn’t bored and quickly enough we got into supervised learning and deep learning. This gave me the tools to do things that I couldn’t have done before, and let me explore and widen the area of my thoughts.
Job: Principal Data Scientist, Dell Technologies
Course: AI-Powered Data Science
(formerly Y-DATA)
I realized that as a product manager in a travel tech startup, I needed heavy tools to analyze data, do predictions and more. So I started checking all kinds of data science boot camps, and machine learning academies, but unlike most of them, Y-DATA looked realistic. I chose Y-DATA because one year is better in terms of understanding things. Also, I could combine it with my previous work.
Job: Deep Learning Researches at Trigo
Course: AI-Powered Data Science (ex-YDATA)
It was obvious to me that math is the field for me. I did my B.Sc and M.Sc in math. In the industry, you can do a lot with math, but you must have knowledge in computer science as well. Y-Data was exactly right for me — it let me combine my background with computer science and strong data science foundations.
Both tracks require successfully completing all admission stages
Full program access with mentorship, project reviews, cloud credits, and career support—designed for learners who want guided practice and astructured path tostrong results
Access to all lectures (online & on-site)
Access to all learning materials & lecture recordings
Access to the Slack learning community
Full individual mentorship & supervision
Capstone projects access with reviews & mentor feedback
Cloud credits for hands-on practice
Program certificate upon successful completion
Career support (mock interviews, HR workshops,
industry prep)
Free access toall lectures, materials, and the online community upon successful admission. Agreat fit for independent learners who don’trequire mentorship
Access to all lectures (online & on-site)
Access to all learning materials & lecture recordings
Access to the Slack learning community
Outstanding students from accredited technical universities
Alumni of technical IDF units
Recently discharged soldiers
Underrepresented groups in tech
New immigrants (olim)
If you don ot qualify for these categories but successfully pass all admission stages and show strong motivation, we are open to discussing Nebius internal educational grants. We remain committed to our mission of making top-tier AI education accessible
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