--- source_url: "https://academy.nebius.com/ai-engineering-il" title: AI Perfomance Engineering mirrored_at: 2026-08-13T03:07:55.355Z host: academy.nebius.com cited_in_42a: true mirror_canonical: "https://index.42a.ai/academy.nebius.com/ai-engineering-il" --- > **Original source:** https://academy.nebius.com/ai-engineering-il Starts March 17 Applications are closed ## AI Performance Engineering Gain practical AI engineering skills, learn LLM internals and deployment in 14-week hybrid program at Tel Aviv University campus. [ Join the waitlist ](#waitlist) Applications are closed ![Computer screen displaying Python code with tabs labeled Preview, Code, and Blame, alongside floating icons of a code bracket and a Git branch symbol.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/694049ff380e99eb937e6ef1_mobImage%20container.webp)![Code snippet showing a Python function named eval\_agent with tabs for Preview, Code, and Blame.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/694049797255a4ff2fa3cff2_Image%20container.webp)![Code snippet showing a Python function eval\_agent that builds a container, runs an agent, collects a patch, and evaluates the patch by applying it to a test container.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/696168e7bd0c630684b1e39e_Profile%20Container.webp) AI basics to production From LLM internals and training to scalable deployment, MLOps, and performance .optimization Learn real AI workflows Inference scaling, orchestration, RAG systems, experiment management, and .post-training Build real-world projects Work on real projects that focus on practical AI methods and .hands-on experimentation Learn from top experts Study with engineers and researchers from Nebius, AI21 Labs, Deepchecks ## A structured, intensive 14-week program ### Hybrid learning at Tel Aviv University Lectures take place on campus at Tel Aviv University and are streamed live online for full remote participation ![Group of graduates smiling and holding Nebius Academy diplomas during a graduation ceremony.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6942a345e503b19affa49209_Frame%202087332611.webp)![Group of graduates smiling and holding Nebius certificates at Nebius Academy Graduation Day.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6942a346a416b7ef2444148d_Frame%202087332610.webp) Duration: 14 week Workload: 85 hours of classroom study and over 280 hours of homework Pace: 2 classes per week + bi-weekly home tasks ![Group of graduates smiling and holding Nebius certificates at Nebius Academy Graduation Day.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6942a346a416b7ef2444148d_Frame%202087332610.webp) ## Who is this for? 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 ### Prerequisites Confident Python programming experience Basic ML knowledge is welcome Familiarity with cloud platforms or deployment tools is a plus [ Join the Waiting List ](#) ![Audience seated in blue chairs clapping and smiling during an event or presentation.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/694159ffc61d34834f046783_Frame%202087332604.webp)![Audience seated in blue chairs clapping and smiling during an event or presentation.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/694159ffc61d34834f046783_Frame%202087332604.webp) ## Hands-on learning Weekly practical labs From LLM internals and training to scalable deployment, MLOps, and performance optimization Home tasks Bi-weekly structured home tasks Practical capstone Capstone projects focused on building and deploying production-grade AI systems. Real experimentation Access to tools and compute for real experimentation ## Program structure Module 1, March 17–May 8, Tuesdays 17:30–20:30 From AI model to AI product How to build AI agents for your business tasks on top of a third-party API Module leader: Yuval Belfer (AI21 Labs) Guest Lecturer: Tom Braude (Stealth Startup) Module 2, March 20–May 26, Fridays 09:30–12:30 LLM Architecture From neural network essentials to the architectural choices that shape today's LLM landscape Module leader: Noa Yehezkel Lubin (Israel AI Agency) Module 3, May 12–June 16, Tuesdays 17:30–20:30 MLOps Production deployment and scaling of AI systems, MLOps tools, experiment management, and monitoring Module leaders: Simon Karasik (Nebius) & Liran Jdanov (Nebius) Module 4, June 5–July 10, Fridays 09:30–12:30 AI Performance Engineering LLM performance engineering: from speculative decoding and quantization to custom CUDA kernels Module leader: Asaf Joseph Gardin (AI21 Labs) Guest Lecturers: Yonatan Glassner (NVIDIA), Yehoshua (Shuki) Cohen (AI21 Labs) Module 5, June 23–July 7, Tuesdays 17:30–20:30 Post-training & RL Post-training and alignment of LLMs: from SFT to RL and back Module leader: Elik Sror (WSC Sport) Certification Students receive an official Nebius Academy AI Engineer Certificate upon completion ## Admission process 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 1 2 3 Application Fill out the form to apply. You’ll get an email with details about the test and next steps. Online Test Take an online test assessing your analytical and programming skills Interview Meet the team in person or online to discuss your background, motivation, and goals; some technical questions may follow. Acceptance to the course Successful candidates will receive an offer and confirm their spot, starting their AI engineering journey. ## Syllabus 5 Modules ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839b03f373c2e04137b58ae_ModuleIcons-custom%20\(1\).svg) Module 1: From an AI model to an AI product 5 weeks, 3h/week ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839a2209ce729d2f8392cf6_L.svg) - Intro to AI. Potential for startups and services.  - LLM APIs. Model zoo. Evaluation and benchmarks. Hallucinations and other risks - LLM orchestration. Tools and agents. MCPs - Test-time compute scaling. LLM Reasoning.  - Planning and agentic orchestration. Creating agentic systems with Agno AI and Python SDK for MCPs - Ensuring factuality. Databases and RAG. RAG evaluation ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839b03f54961c9924ebf6d0_ModuleIcons-custom%20\(5\).svg) Module 2: LLM architecture 8 weeks, 3h/week ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839a2209ce729d2f8392cf6_L.svg) - What is an AI model? Features and targets. From metric to loss  - How models are trained - Neural networks and learnable representations - Working with sequences. Tokenizers and the attention mechanism - Transformers, encoders and LLMs. Masked attention - Overview of LLM training. Fine tuning and LoRA - Architectural components of today’s LLMs. LLM inference: pre-fill and auto-regressive generation, KV-cache, PrefixCache. MoE. RoPE - AI models outside LLMs: vision, multimodality, life science ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839b03faa5398f11f8973ba_ModuleIcons-custom%20\(4\).svg) Module 3: MLOps 6 weeks, 3h/week ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839a2209ce729d2f8392cf6_L.svg) - What does it mean to deploy a service? What makes deployment of AI/LLM models special. Clouds and virtual machines. Docker containers. CI/CD. - Model deployment, batch and online.  - Organizing LLM inference. Production-ready LLM deployment with vLLM - Scaling. K8s and Terraform. Serverless options: Modal, Runpod - Evaluation, monitoring, observability, interpretability. Prometheus, Grafana, Evidently AI - Databases and storage for AI. Vector databases. S3 and object storages. - Experiment management. MLFlow ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839b03fe6056364ba666da2_ModuleIcons-custom%20\(3\).svg) Module 4: Performance engineering 6 weeks, 3h/week ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839a2209ce729d2f8392cf6_L.svg) - GPUs and why they are so important for neural networks. Cuda kernels. Network. GPU profiling - Efficient inference - architectural components, compilers, and inference providers - Efficient inference - speculative decoding and quantization - Parallel training: data, context, pipeline, model parallelism, fsdp. Megatron framework for distributed training - Low-level optimization: creating custom CUDA kernels with Triton ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/683ec49f3aab2220a04cae6d_ModuleIcons-custom%20\(8\).svg) Module 5: LLM post-training 3 weeks, 3h/week ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6839a2209ce729d2f8392cf6_L.svg) - Why RL matters in AI: RLHF and RLVR, training models for coding and agentic tasks - Policy gradient, PPO, GRPO, DAPO. From RL to SFT: DPO. The trl and verl libraries - RL optimizations for LLMs and long-context training ## Showcase your AI engineering skills with credibility Prove your expertise Receive an industry-recognized certificate that validates your skills and completion of the program Boost your professional credibility Stand out to employers with a credential designed together with cloud & AI experts Showcase your achievement In one click, add your certificate to your LinkedIn profile, CV, and portfolio to highlight your professional growth. ## We help you turn AI capabilities into innovation As Nebius's education and research arm, Nebius Academy helps professionals and teams apply AI in real workflows and support innovation. ![Smiling man and woman standing closely together in a cozy, modern café setting with shelves and glasses in the background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf99e97a11aa4570fed_Frame%202087332632.webp)![Young man with short curly hair wearing a striped shirt and blue lanyard looking intently to the right.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf8898efecdbf042644_Frame%202087332633.webp) 15,000+ learners across Europe the US, and Israel 3,000+ engineers, researchers, and tech leaders in our community ![Audience seated in a theater clapping and smiling during an event.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf92c85268c765877b3_Frame%202087332631.webp)![Woman with brown hair in a bun, wearing glasses, a maroon shirt, and a blue lanyard, standing indoors near a wooden wall and a blurry poster.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf984c016cf386ef4ad_Frame%202087332634.webp) ![Smiling man and woman standing closely together in a cozy, modern café setting with shelves and glasses in the background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf99e97a11aa4570fed_Frame%202087332632.webp)![Young man with short curly hair wearing a striped shirt and blue lanyard looking intently to the right.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf8898efecdbf042644_Frame%202087332633.webp) 15,000+ learners across Europe the US, and Israel 3,000+ engineers, researchers, and tech leaders in our community ![Audience seated in a theater clapping and smiling during an event.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf92c85268c765877b3_Frame%202087332631.webp)![Woman with brown hair in a bun, wearing glasses, a maroon shirt, and a blue lanyard, standing indoors near a wooden wall and a blurry poster.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf984c016cf386ef4ad_Frame%202087332634.webp) ![Smiling man and woman standing closely together in a cozy, modern café setting with shelves and glasses in the background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf99e97a11aa4570fed_Frame%202087332632.webp)![Young man with short curly hair wearing a striped shirt and blue lanyard looking intently to the right.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf8898efecdbf042644_Frame%202087332633.webp) 15,000+ learners across Europe the US, and Israel 3,000+ engineers, researchers, and tech leaders in our community ![Audience seated in a theater clapping and smiling during an event.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf92c85268c765877b3_Frame%202087332631.webp)![Woman with brown hair in a bun, wearing glasses, a maroon shirt, and a blue lanyard, standing indoors near a wooden wall and a blurry poster.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf984c016cf386ef4ad_Frame%202087332634.webp) ![Smiling man and woman standing closely together in a cozy, modern café setting with shelves and glasses in the background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf99e97a11aa4570fed_Frame%202087332632.webp)![Young man with short curly hair wearing a striped shirt and blue lanyard looking intently to the right.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf8898efecdbf042644_Frame%202087332633.webp) 15,000+ learners across Europe the US, and Israel 3,000+ engineers, researchers, and tech leaders in our community ![Audience seated in a theater clapping and smiling during an event.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf92c85268c765877b3_Frame%202087332631.webp)![Woman with brown hair in a bun, wearing glasses, a maroon shirt, and a blue lanyard, standing indoors near a wooden wall and a blurry poster.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69629bf984c016cf386ef4ad_Frame%202087332634.webp) ## Alumni testimonials Israel has been a strategic region for Nebius since 2018. Prepared hundred of top specialists working in the top companies in the Industry ![](https://cdn.prod.website-files.com/67e16eb180bb6d0148b42af4/694197ba6288b97d65077267_Image-2.avif) Rachel Shalom **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. ![](https://cdn.prod.website-files.com/67e16eb180bb6d0148b42af4/69419696721e9fb10e615ebd_Image-6%20\(1\).avif) Yael Hamrani **Job:** Data Science & Integration R&D Engineer **Course:** LLM Engineering Essentials The course is practical, insightful, and the community aspect adds a lot of value. I’d recommend it to anyone looking to meaningfully expand their AI skill set. ![](https://cdn.prod.website-files.com/67e16eb180bb6d0148b42af4/696f8af669d4f8e952a964c0_Image%20\(1\).avif) Dina Karakash **Job:** Venture Partner and Head of AI & Research **Course:** Intro to ML from an LLM Standpoint Most students were already in the field, tackling real AI challenges — from building models and AI agents to applying flexible AI frameworks in specific industries. The lecturers were both researchers and practitioners deeply passionate about AI. This course went well beyond 36 hours of content. ![](https://cdn.prod.website-files.com/67e16eb180bb6d0148b42af4/69419791dcdec396e09ebec4_Image-3.avif) Ido Nissim **Job:** Data Engineer at AllCloud **Course:** AI-Powered Data Science (formerly Y-DATA) I think the very best thing about the course is the people. The selection of the students for the course was really good. Heterogeneous people from all kinds of fields and different backgrounds — that’s really good. We had some projects together, and worked as groups, which was a good way to get to know other people. We were all sitting in the classroom together, talking and trying to figure out how to do the homework later on. It’s great. ![](https://cdn.prod.website-files.com/67e16eb180bb6d0148b42af4/694195f01f99c0ac5487adfa_Image-7.avif) Andi Mardinsyah **Job:** Data Scientist **Course:** Practical Generative Al I chose the Generative AI program from Nebius Academy because of its well-structured curriculum that balances theory and practice. The first module on Generative AI applications was extremely useful, especially with its hands-on coding approach. Despite my busy schedule, the short yet informative lectures made learning manageable. This program is a great fit for Data Scientists working with NLP and LLM, and I’d definitely recommend it to my colleagues. ![](https://cdn.prod.website-files.com/67e16eb180bb6d0148b42af4/694197e36cd5f9081437051d_Image-1.avif) Liad Yosef **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. ![](https://cdn.prod.website-files.com/67e16eb180bb6d0148b42af4/6941973ce651e419f2f6ce63_Image-4.avif) Tal Heletz **Job:** Deep Learning Researches at Trigo **Course:** AI-Powered Data Science (formerly Y-DATA) 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. ![](https://cdn.prod.website-files.com/67e16eb180bb6d0148b42af4/6941980d7dbb99932c3381b2_Image.avif) Andrey Nikitin **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. ## Faculty & mentors ![Smiling young woman with long dark hair wearing a beige shirt against a light gray background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/696202036759aeb999e2bceb_Illustration.webp) Noa Lubin VP Technology at Israel AI Agency Read more Noa Lubin is VP of Technology at the Israel AI Agency and an AI leader with extensive experience in NLP, healthcare, and space technologies. Previously Director of Data Science at Fido, she has held roles at NASA, Amazon, Diagnostic Robotics, Elbit Systems, and the Israeli Aerospace Industry, leading and applying machine learning solutions in high-impact domains. Noa holds an MSc in Computer Science (Magna Cum Laude) from Bar-Ilan University, where she specialized in Natural Language Processing under the supervision of Prof. Yoav Goldberg, and a BSc in Electrical Engineering (Summa Cum Laude) from the Technion. Alongside her industry work, she is an active lecturer and public speaker in AI and data science, combining deep technical expertise with a strong commitment to socially impactful AI initiatives. ![Smiling man with short dark hair and beard wearing a black deepchecks t-shirt on a dark background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/696201febe28200e104371e3_Illustration-1.webp) Philip Tannor CEO at Deepchecks Read more Philip Tannor is the Co-Founder and CEO of Deepchecks, an ML and LLM evaluation company known for its open-source validation tooling and practical approaches to monitoring and quality measurement in production AI systems. He is also recognized as a Forbes 30 Under 30 honoree and regularly shares hands-on insights on LLMs, MLOps, and evaluation for real-world applications. Before Deepchecks, Philip led data science research teams in the Israel Defense Forces, combining algorithmic research with applied delivery across multiple ML domains. He holds an MSc in Electrical and Electronics Engineering from Tel Aviv University, where his research proposed a new ML algorithm combining neural networks with gradient boosting and was accepted to IJCAI 2019, and a BSc in Physics from the Hebrew University of Jerusalem. His work bridges rigorous research foundations with building practical tools that help teams iterate on AI quality, reliability, and compliance. ![Smiling man with short brown hair wearing a black shirt against a plain white background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/696e39b10de9a48275161d33_Rectangle.avif) Liran Jdanov Senior Solutions Architect at Nebius Read more Liran Jdanov is a Senior Solutions Architect at Nebius, where he helps organizations design and deploy AI and machine learning workloads on large-scale cloud infrastructure. His work focuses on enabling companies to adopt modern AI technologies through scalable cloud architectures, automation, and production-ready ML environments. Before joining Nebius, Liran led solution engineering and platform architecture initiatives for SaaS and private cloud products, guiding teams through large-scale infrastructure design, CI/CD automation, and cloud migrations. Earlier in his career, he worked on complex telecom and distributed systems projects at Ericsson and Motorola. Liran holds a Master’s degree in Computer Engineering and has extensive experience in cloud architecture, infrastructure automation, and enterprise-scale systems. ![Portrait of a smiling man with short dark hair wearing a black shirt and backpack against a light gray background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/696fae531ace53bbb22ccc8c_Rectangle%20\(6\).avif) Simon Karasik Lead of research infrastructure at Nebius AI R&D Read more Simon Karasik is a Senior Machine Learning Engineer and Team Lead at Nebius, where he leads research infrastructure for large-scale AI development. His work focuses on building systems for training and running large language models across thousands of GPUs, as well as developing infrastructure for modern AI agents and research workflows. Before joining Nebius, Simon worked on large-scale machine learning systems at Yandex, where he developed and deployed models for high-load production environments. He holds a degree in Applied Mathematics from Belarusian State University and specializes in ML infrastructure, large-scale model training, and practical AI system design. ![Portrait of a man with short dark hair and beard wearing a black shirt against a red background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/696e39b16c99676b8f151265_Rectangle-2.avif) Yuval Belfer Senior Developer Advocate at AI21 Labs Read more Yuval Belfer is a Senior Developer Advocate at AI21 Labs, specializing in Large Language Models, RAG systems, and AI agents. He works at the intersection of research and real-world GenAI deployment, helping teams design, evaluate, and scale production-ready AI systems. Yuval holds an MSc in Computer Science from the Weizmann Institute of Science, where he conducted research on neural network theory and training dynamics. In addition to his industry role, he teaches advanced courses on Generative AI and LLM development at Reichman University, Google & Reichman Tech School, and Nebius Academy. His expertise spans model behavior, evaluation frameworks, agent orchestration, and system architecture, bridging deep technical understanding with practical implementation. ![Portrait of a man with a beard and mustache, wearing a dark shirt, against a light background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/6970cfa1db0e4262b2c18827_Rectangle%20\(7\).avif) Tom Braude AI Tech Lead (Cyber & AI startup), ex-Microsoft Read more Tom Braude is an AI Research Engineer currently working at a stealth startup, previously Technical Lead at AI21 Labs, where he focused on planning and reasoning for agentic systems. His work spans foundation model training, fine-tuning, and the development of advanced LLM-based systems for real-world applications. Tom previously served as an NLP Researcher at Microsoft AI, where he developed state-of-the-art models for task extraction and conversational understanding, supporting both research and production systems. He holds an MSc in Computer Science from Reichman University, specializing in multimodal learning at the intersection of computer vision and NLP, and a BSc in Computer Science from Ben-Gurion University. His expertise combines deep research in language models with practical experience in building reasoning-driven AI systems. ![Smiling man with curly hair, beard, and glasses wearing a white shirt against a plain light background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/696e39b1b47d3147cbe7fdc2_Rectangle-1.avif) Asaf Joseph Gardin Senior Software Engineer x Deep Learning Engineer at AI21 Labs Read more Asaf Gardin is a Senior Software Engineer on the Inference Team at AI21 Labs, specializing in large-scale LLM inference, performance optimization, and production deployment. He works on deploying and stabilizing advanced models including Jamba and Mamba, focusing on reliability, scalability, and real-world system performance. Asaf is an active contributor to vLLM and has driven production deployments of LLM systems used across the organization. His work spans inference infrastructure, integration of SSMs, scheduler optimization, developing cross-language SDKs, and low-level debugging of distributed systems under memory and performance constraints. He pursued an MSc in Computer Science from Reichman University and holds a BSc in Computer Science from Holon Institute of Technology, bringing strong systems engineering expertise to modern AI infrastructure. ![Smiling man with short curly hair, beard, and purple shirt against a plain light background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69a08a120c1f79d0ff282d49_Elik_Sror.avif) Elik Sror Algorithm Group Manager at WSC Sports Read more Elik Sror is an AI & NLP Leader and Algorithm Group Leader at WSC Sports, where he leads multiple teams building the next generation of AI-driven content generation engines. His work focuses on LLMs, retrieval systems, and agentic AI, tackling large-scale NLP, vision, and speech challenges to deliver production-grade generative capabilities. Alongside his industry leadership, Elik is an active lecturer and consultant, having created and taught NLP courses in academic settings and mentoring teams end-to-end — from problem definition and data pipelines to model design and integration. He holds an M.Sc. in Electrical Engineering from Tel Aviv University, specializing in computer vision and machine learning, and a B.Sc. in Electrical Engineering from Ben-Gurion University. His background combines strong research foundations with hands-on experience scaling applied AI products across multiple domains. ![Smiling man with short dark hair and light beard wearing a black crewneck shirt against a plain light background.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69a089f56d174f752c0069a1_Yehoshua%20\(Shuki\)%20Cohen.avif) Yehoshua (Shuki) Cohen VP Data at AI21 Labs Read more Yehoshua (Shuki) Cohen is VP Data at AI21 Labs and an AI Evangelist focused on the intersection of AI, data, and product. He leads company-wide data strategy across data engineering, analytics, and data science, driving a data-first culture and enabling intelligent decision-making at scale. Beyond his leadership role, Shuki is a well-known educator and community builder: he creates practical data science content through his “One Shot Learning” channel and co-founded JerusML, the Jerusalem AI community. He holds an M.Sc. (Cum Laude) in Industrial Engineering from Tel Aviv University and a B.Sc. (Summa Cum Laude) in Industrial Engineering & Management from Ben-Gurion University, combining strong analytical foundations with hands-on experience in applied machine learning, large-scale data systems, and product-driven AI adoption. ![Man with short dark hair, beard, and round red eyeglasses smiling, wearing a patterned button-up shirt.](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/69c68609602d5bd484c38d65_pyx1ycfotjl9haowc7nv.avif) Yonatan Glassner Senior ML engineer at NVIDIA Yehoshua (Shuki) Cohen is VP Data at AI21 Labs and an AI Evangelist focused on the intersection of AI, data, and product. He leads company-wide data strategy across data engineering, analytics, and data science, driving a data-first culture and enabling intelligent decision-making at scale. Beyond his leadership role, Shuki is a well-known educator and community builder: he creates practical data science content through his “One Shot Learning” channel and co-founded JerusML, the Jerusalem AI community. He holds an M.Sc. (Cum Laude) in Industrial Engineering from Tel Aviv University and a B.Sc. (Summa Cum Laude) in Industrial Engineering & Management from Ben-Gurion University, combining strong analytical foundations with hands-on experience in applied machine learning, large-scale data systems, and product-driven AI adoption. ## Building AI expertise in Israel By bringing together engineers, instructors, and industry experts across Israel, we support talent growth and help strengthen Israel's position on the global AI stage. [ Join the community ](#) ## This course is completely free of charge. It's our way of contributing to the Israeli AI community. Both tracks require successfully completing all admission stages Self-paced independent learning Unsupervised Learning Track A great fit for independent learners who don’t require mentorship All lectures (online & in person) All learning materials & lecture recordings Access to the Slack learning community Full program Supervised Learning Track Full program access with mentorship, project reviews, cloud credits, and career support—designed for learners who want guided practice and a structured path to strong results All in Unsupervised Learning Track plus: Full individual supervision Capstone projects with reviews & mentor feedback Cloud credits for hands-on practice Program certificate upon successful completion Career support (mock interviews, HR workshops, industry prep) Access to the Nebius global community and network ## Any other questions? How does the application process work? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) The application process consists of three steps. First, candidates apply online through our website. Second, candidates take an online test. The test assesses analytical and basic programming skills and contains a programming task and a basic-level machine learning task. ‍ We will offer a separate four-day window for candidates to take the online test during the application process. Candidates who pass the test will be invited to an interview with our team. The interview is an opportunity for us to learn more about each candidate’s background, experience, and interests. What level of coding skills is required to enter the program? Do you require knowledge of specific languages? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) We require confident experience in Python and an understanding of common data structures. Programming tasks make up a large portion of the online test and require an existing programming background. During the program itself, the courses and home assignments will be in Python. Do I need to know machine learning to take this course? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) A basic understanding of machine learning and some foundational ML skills are recommended to feel comfortable with the material. What is the time commitment for this program? Can I combine it with work or academic studies? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) We offer 6 weekly hours of lectures, in addition to 20–25 hours of independent work on assignments and projects. We advise participants to keep at least one full weekday free in order to get the most from the program. ‍ Why is this program free? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) Israel has long been a key region for Nebius, a global AI infrastructure company. We recently won the national call to build large-scale AI training infrastructure here and opened a local data center. Offering the AI Performance Engineer program for free through Nebius Academy, Nebius’s educational and research arm, is part of our long-term commitment to the Israeli tech community and its future engineers. Since 2018, we’ve trained hundreds of specialists who now work at leading Israeli tech companies. Now we want to make this level of education available to even more people. What is the difference between the Supervised Learning (Guided) Track and the Unsupervised Learning (Independent) Track? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) The main difference is the level of support. Our Supervised Learning (Guided) Track includes expert feedback, cloud credits, a program certificate, and career support (mock interviews, HR workshops, industry prep). The Unsupervised Learning (Independent) Track provides access to lectures, materials, recordings, and the learning community but does not include mentorship, practical projects, or career support. Staying in the Supervised Learning Track requires completing assignments and scoring at least 50% in each module. Otherwise, you’ll switch to the Unsupervised Learning Track. What is the language of the program? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) The program is taught entirely in English. Where does the program take place? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) Classes are held on campus at Tel Aviv University. While online attendance is an option, we encourage you to join us in person to maximize the value of both the community and the learning experience. What is Nebius’ role in AI education? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) At Nebius, we believe AI should be both powerful and accessible. To drive innovation, we invest in programs for developers, engineers, tech leaders, and managers who want to master AI skills. As the founder of Nebius Academy, Nebius continues to prepare the next generation of AI professionals. Students can explore Nebius tools, benefit from the company’s expertise, and gain from its collaborations with universities and researchers that bring together academic and industry perspectives. Do I get a certificate at the end of the program? ![](https://cdn.prod.website-files.com/67af0fb7b48edc18a23f4d58/693b30354e7b5b2fbb19c88e_plus.svg) A certificate is awarded to the Guided Track students who attend at least 80% of classes and submit at least 80% of homework assignments that are graded as passing.